iNaturalist is excited to announce an award from Google.org Accelerator: Generative AI to help build tools to improve the identification experience for the iNaturalist community. The project we proposed builds off of our demo from last year to search iNaturalist photos with text. The award from Google.org provides $1.5M over 2.5 years plus access to Google staff to advise the iNaturalist team.
Our nonprofit mission is to connect people to nature through technology and advance science and conservation. We see this new opportunity with Google.org as a clear extension of the work that we’ve been doing for years to build better tools to connect people to nature. By using generative AI (GenAI), we hope to synthesize information about how to distinguish different species and accurately convey that to iNaturalist users. Instead of just offering AI species suggestions of what you saw, we want to offer a why as well. By providing explanations in addition to a list of suggestions, iNaturalist hopes to more effectively grow a skilled community of naturalists who have the information and tools to improve and vet the data on iNaturalist.
We explored this idea in this blog post last year using these frogs as an example. Currently, iNaturalist’s computer vision model can distinguish these frogs, but we don’t do a good job of explaining how. We’d like to use GenAI to tell people not just which frog it is but why it’s that frog.
Our goal is to build a working demo by the end of the year, and we’ll share more updates as the project evolves.
More generally, we're excited to use this grant to learn more about how AI is changing the technology landscape and how we can leverage these tools to enhance our mission and impact. As we learn about what AI tools are available to our nonprofit and how we might use them, we will continue to weigh ethical and environmental concerns.
We’ve tried to address some of the questions that have been raised on social media and in the forum in these FAQs.
iNaturalist has been synthesizing photos and identifications using machine learning since 2017 to provide computer vision suggestions (a kind of AI) on the iNaturalist website and mobile apps. In 2023 we started incorporating observation location into our model training process, which resulted in the geomodel and range maps. All of the training of these models happens on two machines we own and control. Each time we update the model, we write a blog post about the new species that have been added thanks to the observations and identifications from the iNaturalist community. You can read the most recent blog post from April.
One of iNaturalist’s biggest strengths is its community of knowledgeable naturalists who spend time and energy helping identify observations. We know that this is a massive undertaking — especially as iNaturalist continues to grow, bring on new users, and support large-scale bioblitzes — and that without additional support, data quality becomes an issue.
Since its beginnings, iNaturalist has worked to leverage emerging technology (like computer vision, and even mobile apps in the early days) for biodiversity and conservation — and we think generative AI could be used to support the hard work done by folks making IDs on iNaturalist. For years we have grappled with how to surface the most useful identification tips shared by these members of the community, and we think that generative AI could provide a scalable way to synthesize and share useful information about how to identify the 100,000 different species included in our current modeling process. We are still exploring different approaches to this, but overall, the goal is to make observing and identifying on iNaturalist better and more enjoyable while also delivering more high-quality data needed for science and conservation.
We will incorporate a feedback process for the AI-generated identification tips so that we can maintain high standards of accuracy. Since this project is in its early stages, we don’t know exactly what this will look like, but we will share updates to be more transparent moving forward.
Ultimately, we want to continue synthesizing information across iNaturalist so that it’s more useful and accessible. We’ve been doing this with photos via our computer vision suggestions (and have a system to credit iNaturalist users whose photos and identifications were used in the model), and now, we’re excited to expand this tool to include text descriptions, too. We deeply appreciate your time and feedback, and we will continue doing our best to connect people with nature through technology.
We recognize that this announcement has caused a lot of upset and confusion among people who care deeply about iNaturalist. In the hundreds of comments, we hear that many people feel betrayed, disrespected, and without agency. We sincerely apologize.
With respect for the ethical and environmental concerns raised, we’d like to offer more clarity about our plans with this grant and program. We know that trust is not easily rebuilt, but we’d like to try.
First, to clarify some things we did not clearly communicate:
We are not replacing or changing the current human-curated system of identifications. Many of you have rightly pointed out that this is at the heart of iNat, and we wouldn’t dream of doing away with it. Anything we explore with AI would only be meant to enhance the experience of some users: by, for example, providing an interesting tip about identifying the species, suggesting that the photographer try to capture a particular aspect of the plant or animal that might aid a human identifier, or explaining the computer vision’s logic for the identification it’s suggested.
We are not giving Google special access to your iNat data, and we have no obligation to use Google’s infrastructure as part of this grant. Google is providing funding and advice on how to potentially leverage AI.
iNaturalist has successfully incorporated machine learning and computer vision (kinds of AI) since 2017, with a very small footprint (primarily three machines running in spaces we control). We understand that new technologies can have much larger environmental impacts, and we aim to quantify the environmental footprint of iNaturalist’s infrastructure for 2025 and beyond.
This grant funds our team exploring new ways to surface and organize helpful identification comments — and if the demo we create is not helpful, compromises data quality, has outsized environmental impacts, or is overall too flawed, we will not keep it.
This project is just getting off the ground, and we don’t know what it will actually look like to the user yet. We, along with many of you, are concerned that features like these could have a negative impact on iNaturalist, so our plan is to take an experimental approach to see if we can solve some of the core problems iNaturalist users have surfaced previously. If after testing and refining this experimental feature, we find that it reduces data quality and enjoyment of the platform — or its environmental impact is too large — then it’s not something we would continue with.
The iNaturalist community has always been a core partner in informing the direction of the platform, and we appreciate and hear your feedback (including but not limited to):
We understand that you are concerned about inaccurate, out-of-context and/or hallucinated information being provided by a tool like this. We agree that any AI-provided information be clearly labeled as such and that there be a way to upvote/downvote or otherwise flag potentially misleading information, and we are excited to explore more ways for how this may happen.
We hear that people would like to be able to understand and control how their data is used on and beyond iNaturalist. On iNaturalist, you own the copyright to your data, and iNaturalist Terms of Use prohibit the use of data for commercial AI training. Whether commercial AI companies are beholden to copyright law or terms of use or can argue “fair use” of publicly accessible data is being worked out in the courts and is something we are paying attention to.
Most importantly, the community will be involved in the creation of this and any major new features.
We will not be implementing any new changes to what you see on iNaturalist right now without involving the community. Our plan is to have an initial demo available for select user testing by the end of 2025. If you have more feedback, ideas, concerns, or questions you’d be willing to share, please use this form so we can more easily keep track of them.
Additionally, if you would like to attend a virtual Q&A session to have some of this discussion in real time, please let us know in this form (more details to be determined).
Again, the project funded by this grant is just getting started. We will proceed carefully and respectfully, and we’re immensely grateful for this incredible and engaged community.
Comments
Well, I guess it could be worse. I think a user-contributed wiki would be better (and more fun!), but I don't make the rules.
Will there be a beta testing phase of this feature, so users (select users? curators, maybe? or those who wish to opt in?) could see how accurate (or inaccurate) it is before it's released to the masses?
Can you please just make a wiki that humans edit, instead of creating unreliable AI slop while destroying the environment we're trying to document? LLMs cannot reliably preserve information when "summarizing" it.
Please preserve the ability for community user input for identification tips and text descriptions. (maybe curator only?)
Love this! Thanks for the blog post.
Please be careful not to fall into the trap that Google and others have laid of wanting us to treat AI as if it is a monolith. Image recognition (with suitable caveats) has always been a statistically sensible use case (large, well annotated training sets; fine-grained and testable predictions). LLM-based models, even when propped up with other code to avoid the worst errors, are not the same thing.
Even if I could ignore the fact that generative ML is a cynical bid by Silicon Valley to extract as much value as possible from all of society's data, knowledge and labour and from the environment, I beg you to be very cautious before helping their latest black boxes to become the intermediaries between humans and knowledge. We are living in an age of scientific denial and rejection of evidence. Web search is increasingly unreliable. Public datasets are being taken down. Wikipedia and the Internet Archive are under attack. We have few places where we have direct and relatively unfiltered access to knowledge and expertise. Many see iNaturalist as one of the last remaining good places on the Internet. Don't let Google's interests wreck it.
Please watch for the ways that others profit unidirectionally from your choices. Modern big tech is now comprehensively tainted with bad-faith justifications and disregard for the harm it does to democracy and the planet.
Do not want
why not let the hard-working users control this feature, instead of implementing a system to scrape their knowledge (along with who-knows-what-else)?
While this isn’t as bad as I feared it would be, I do ultimately agree with the good majority of comments. I am very against this decision and would much prefer preserving the original system. Please don’t do this!
I really wish I had the energy to explain why this is a bad decision
I think this could be a cool idea IF humans were the ones doing the writing. Generative AI makes a LOT of mistakes and experts who study certain species should write this information themselves.
And of course, generative AI is bad for the environment, too, so it would be a terrible mistake for an app/website centered around nature to move forward with something like this.
What access will google have to your (our) data? Will user be able to opt out? If not, when will this take place and what are the steps to remove all our photos and data?
A profound disappointment, but I suppose it is easier to erode the trust of thousands of volunteers than to decline 1.5 million dollars. Good luck! And remember it is the volunteers which make iNaturalist what it is, offering their time and knowledge to shape something that they believed was important.
I don't like this at all. I don't use anything Google I can avoid for a reason. Many others offered good arguments why this shouldn't happen on iNat. I will add to their concerns by saying that iNat needs to be human driven. AI should have no place on it ever. I understand the value of grants, but they mean nothing if what makes iNat so great is destroyed.
As others have said; why not make/maintain a wiki-type base that users can contribute this information to, rather than AI usage? It’s disturbing to see an organization that so staunchly stands for the conservation and recovery of our ecosystems partner to use technology that does the opposite. GenAI systems produce a large amount of greenhouse gases, and use an incredible amount of electricity and water; affecting our already-fragile environment. Many AI companies also accomplish the heavy need for data management and processing by employing laborers from countries like Kenya. The workers are given extremely low wages, and not provided with job security or stability. Generative AI propels itself with environmental harm and human exploitation, is this the kind of technology iNaturalist wants to work with? This is extremely disappointing to see.
I will add that I too want to opt out of Google having my information.
Same here, Julie.
Once upon a time, the Wikimedia Foundation (the organization that runs Wikipedia) accepted a grant from Google to implement an AI feature called "Computer-aided tagging". The project was hated by the community, gave poor quality results, and was ultimately canceled. All 1.3 million edits made using the tool were reverted. Even worse, the Foundation lost a huge amount of trust and social capital with its community. I hope iNaturalist can avoid a similar fate, perhaps by using part of that $1.5 million to build a parallel human-curated system that will outlive the AI version. iNaturalist's (and Wikipedia's) biggest strength is its army of human volunteers and their freely-given expertise. Leverage and empower that army and you will succeed. Alienate it and nothing good will result.
I want to opt out of my content being used for this purpose and opt out of my information being collected. I would prefer a user-contributed wiki
Something best left in the hands of humans. There's loads of species identification guides out there. If there were a category on species page to add an identification guide, people would do it. And at least we can scrutinize and edit what we humans put out. What's to stop this AI from putting out wrong information and who's going to correct it? This is a bad idea.
I fully agree with zygy's comment drawing a comparison to Wikimedia's failed idea. Community, creating and using projects and tags, and simply communicating with identifiers are what we're here for and are already excellent tools. I also worry about my work and data potentially being shared with Google.
Also, I recently learned the excellent resource Discover Life is in a difficult position because of scrapers for LLMs constantly bombarding the site with traffic. It received 190 million hits in February alone! I don't feel fully comfortable with this situation, given effects on other resources and on the environment (massive data centers contribute to desertification, poison the water supply, etc.).
Ridiculous solution when a much simpler solution that properly utilizes and engages the community is sitting right there. I suppose accurate information provided directly from experts doesn't pay over a million dollars.
I like the idea of having notes on how to distinguish different species, but I'm skeptical that an LLM will be sufficiently consistent and accurate. If these notes need to be frequently reviewed by humans to ensure accuracy, wouldn't it be cheaper and simpler to just allow the community to add notes? I don't really want my data being shared with Google either.
I also much prefer the idea of a user-edited wiki: a collaborative effort by the community as an extension of the current tools. Ethical concerns of generative AI (including environmental concerns) are not unfounded and this is disappointing to hear from iNaturalist that it is jumping on the bandwagon. AI has been shoved centre-stage as the next shiny thing, with some sense of urgency and FOMO - all the more reason to pause, question, and keep a critical eye of its proponents.
plot twist, this is all a ruse to use the google money to pay experts, and the AI is simply there for decoration. eh? ehhh??? a spider can dream. ;)
I use generative AI to enhance software features in my work and am not inherently opposed to its use to do so, especially for a good cause. However, I do share the concerns of other commenters about whether and how my and community data and effort might be used to train models not controlled wholly by iNaturalist. I have always been excited to improve and expand iNat’s CV model, but I would not want to participate in a project that may be used by Google to enhance its own multimodal LLMs. I hope that the iNat team can share more details about whether iNat data used in any accelerator projects could potentially be incorporated into Google’s datasets for training. The application terms for this year’s accelerator cohort don’t specify that Google will be allowed to do so, but they do require that any applicant must “enter into additional terms with Google (to be provided),” which makes me wary. This blog post doesn’t appear to answer that question.
I'd prefer generative AI be an opt-in rather than an opt-out feature, at least. A user-created wiki would be better.
iNaturalist may not be a social media in the conventional sense, but using generative "AI" (LLM) as an authoritative-sounding plagiarizing middleman is bad for its community aspects.
I also don't really trust Google.
This is a lot better than I was excpecting, but I still firmly believe this should be at most an opt in feature with heavy disclaimers and limited implementation.
This seems like a pivot away from the current system of human provided identifications. The CV is a great tool and providing explanations to users on how to ID is a great idea. However, the CV model is already known for IDing observations to species level when that is impossible without certain details. Generative AI is already known for hallucinating answers. This combination seems like a good way to generate junk data...
How do I opt out of my photos being used for GenAI?
the iNatizens yearn for a wiki
do you hear our plea?
I'm invested in iNaturalist. I have
Generative AI is awful for many reasons, most of which have been made in other comments, so I won't rehash them. If this goes through, it will burn up the good will iNaturalist has with the community that has built up around it. Personally, I am so opposed to it that I will delete all of my observations and my profile entirely and refuse to use iNaturalist data in any future publications. I'm scheduled to give a talk this fall about it at a conference aimed at encouraging other professional entomologists to use it. Instead, I'll use my platform to lay out iNaturalist's missteps and tell them to avoid the platform. I used Facebook and Twitter for over a decade each but deleted both after they enshittified and turned towards platforming fascists. I'm not so invested with iNaturalist that I won't do the same again.
I am writing this with love for iNaturalist. It has increased my knowledge and appreciation for the natural world significant since I began using it almost a decade ago. This is a bad move. Possibly the worst decision I have seen iNat make ever.
First of all make users to opt-in to this in order to have their comments used. This should not even be a default option that users need to opt-out in order to not allow their comments to be used. This should by default require users to opt-in. If this is forced upon users I can see many of us deleting our accounts, observations, and identifications.
No one asked for this feature. As others have stated a community-driven and human-driven wiki-like approach would be better in countless ways. A LLM would not even be able to do what you are asking effectively. iNat has always been about the community and created/curated by the community. Taking that away is a huge huge mistake.
Comparing this to iNat's computer vision ID system is either naive or intentionally misleading. I truly hope it's the former. Computer vision is vastly different from generative AI. It doesn't take users' well researched comments, discussions, and explanations and create text based on that stolen work, generative AI does.
You said it yourself: "One of iNaturalist’s biggest strengths is its community of knowledgeable naturalists who spend time and energy helping identify observations." Generative AI would be spitting in the face of that. I urge you to rethink this and listen to your community. Falling into the flashy generative AI sinkhole is a mistake.
Coudn't agree with zygy more!
This is a very disappointing move on the part of iNaturalist. The use of generative AI, especially when coupled with a tech giant like Google, is fundamentally at odds with many the values this site has purportedly held since its inception. As others have suggested, it is imperative that there be an option to opt-out of having one's data, images, and contributions be used for these purposes. If that option is not offered, I will feel obligated to remove my observations from the database and discontinue our involvement with this site. I surely won't be alone.
This is something nuanced enough that it should really be done by humans. LLMs have a long way to go before it can even come close to doing something like this accurately and even then I would have concerns. I also have privacy concerns and would like to opt-out my observations.
well said @liliumtbn
This is a slap to the face to your hard-working, dedicated community who made this app what it is. I do NOT want any of my submissions/photos used by Google. If there is no option to opt out, I will probably delete my account and remove all my submissions. This is so depressing,
@spidercat Now this idea I love! ;-) What's being proposed makes me sad and irritable. Google wants to give iNat $1.5 million? Good. Pay experts. If they do anything other than that, their motives, and therefore their actions, are suspect.
See more community comments on the iNat forum
https://forum.inaturalist.org/t/what-is-this-inaturalist-and-generative-ai/66140
This will erode the strong connection the iNat community feels. I have issues that make doing iNat difficult. My spouse has a severe brain injury so I have to pay for a PSW before I can go out. I also have widespread arthritis so walking is normally painful, and sometimes very painful. Yet, I have persisted since 2017 on iNat because of that connection. I am sure many other users have simlar stories. Why would you put this connection at risk?
This could have been a wiki... 😞
A gen-AI summary is NOT accountable, and cannot be reliably linked to primary sources. This will result in scientific misinformation.
People post poisonous mushrooms on here all the time, for goodness' sake. Are those ID characters really something you want to leave to an AI?!
And if scientists have to validate all these AI suggestions anyway, just LET US WRITE THEM FROM THE START!
Is there any option to keep my photograph and info off the IA motor? dont want to feed that
Given that generative AI notorious for giving incorrect information, this mostly seems like it'd lead to misinformation being spread via iNaturalist.
As an identifier it can already be hard enough trying to correct misidentifications when people don't listen to your explanations of why something can't be identified to species or is actually a different species. I can only imagine how much worse the situation would be if lots of people who don't know much about the species they've posted are being presented with an AI description full of incorrect information that they end up trusting because from their perspective iNaturalist seems like a reliable source.
I can only imagine how many people, who are new to documenting and identifying the wildlife around them and therefore don't yet understand the complexities of identifying many species, are likely to take these descriptions completely at face value, misinformation and all. This is likely to be an annoyance at best, and outright dangerous at worst. Many people are unaware of just how often AI generates incorrect information and aren't going to think to fact check what a website dedicated to wildlife has told them about that wildlife.
I'm appalled at the complete lack of foresight and integrity required to think that implementing this is in any way a good idea.
Generative AI is very, very different from the AI currently used to suggest a species when you submit a photo. Gen AI is, to put it bluntly, a bs generator with no connection to what is actually real or factual. It's all well and good to say that there'll be a user feedback option to complain when the AI makes up untrue "facts", but an inexperienced user won't be able to recognize that those things are untrue, and thus won't know to report it as a problem. Therein lies the entire problem: no one knows what they don't know. People see inaturalist as a trusted, reliable source of factual information, and therefore won't secondguess the AI slop they see on the website, no matter how incorrect it is.
Additionally, I have privacy concerns about this deal with google. I submit photos with my location to inaturalist because I trust you guys not to use my data for advertising or other exploitative or invasive purposes. Google, on the other hand, has a terrible track record for privacy and LOVES using everyone's location data for advertising purposes. I don't feel comfortable sharing my location data with inaturalist if there's any chance that google's getting access to it.
Will you allow users to opt out of having observation photos used to train Googles AI? If not, I may be done with iNat.
@wendyjegla right! maybe we could talk profit sharing! folks who have contributed to improving IDs and such... where's their cut? we can make this real equitable, if you're willing, iNat! I've made lots of spider IDs, many of which are accurate; surely I can get at least $50 thrown my way, eh? ;)
My questions:
Like others, I want to know what data, algorithms, and/or other benefits Google gets out of this.
What will be the environmental costs of developing and using the system? The blog post about the text search only briefly touched on this, but it sounds like this model would be unique and therefore much more resource-intensive.
How many users are still regularly using the image text search system? I, like I think a lot of people, briefly tried it out, found it mildly entertaining, and then went back to searching for observations the same way I always had. I understand that that was a different use case, but unless you make the generated hints opt-in, the image text search traffic seems like the closest way to estimate potential voluntary use.
While this might, in theory, be doable for taxa that are already completely represented in the CV model, we already have a big problem with people submitting excessively specific identifications of the one species in the CV model from a large group of similar-looking species or being overly willing to commit to a species ID in groups that can only be IDed to species at certain stages (as adults, when flowering, etc.). How are you going to keep the new system from providing confident-sounding explanations of why something is Species X that really describe entire groups?
Whether this should be done is an important question that partially depends on the answers to the questions I and others have asked. But as currently described, I'm not at all convinced that this can be done well.
As other commenters have stated, I believe only comments from users who opt into the project should be used. I make a lot of identifications with ID tips and have made a quick guide in a journal post to help people give better general IDs on caterpillars. I'm not sure yet what I will do with all those if this project goes forward in its current form, but I can link all those tips back to a published source or another experienced user who can do that. If I provide over-simplified or incorrect reasoning for an ID, I can track those IDs and comments down and correct them. Unless there would a way for this model to link its information back to the original source, I don't see how we could trust it on a scientific/knowledge level, let alone the issues with privacy, etc. raised by other commentors.
I would love a user-led wiki!
I would not like an error-prone LLM shoved into one of the foremost sites for user connection and expert opinion on the natural world. It seemed to work out pretty poorly for Duolingo, and most of that userbase is not made up of the hard-working academics found here who don't want their work scraped by Google. LLMs are good at coming up with a general image description, but down to the species level? Not for most organisms. It might end up becoming more work for the experts to try and do damage control on this thing, and why would they put that effort in if their work is just going to get sucked up by a multi-billion dollar company with no compensation. We need clear language on if/how Google is going to use this data.
This seems to violate iNaturalist’s goal of community building and protecting the environment. If you do not provide the ability to opt-out, I fear I may have to leave the platform, and that breaks my heart. I know I am just one of many users, I don’t mean to sound self important, but I do want to add my voice to the conversation as well. I get that you need grant funding to operate a platform of this size, but this wasn’t the way to do it. Please listen to the vast majority of commenters who are concerned, upset, and frustrated with this move.
I completely agree with those proposing that this would be much better as a wiki for naturalists to write identification tips, including pairwise separation hints. iNaturalist could then show these to users to review before they accept a proposed identification.
This is so disappointing. I've been thinking about this all day and I'm still having a hard time putting together words for how disappointing this is.
As an artist I have seen genAI seek to exploit and replace the skilled work of myself and my peers. I've seen companies and communities that were supposed to be for artists turn towards catering towards genAI instead of supporting the artists who have had their art scraped for other purposes.
It's deeply disappointing to see iNat falling into the trap of genAI as a replacement for uplifting and enabling scientists and forging connections between the users. But as others have said, I guess it's hard to turn away from the allure of 1.5 million dollars.
I do not trust genAI. When I've reached out to it in desperation to find information after exhausting my own searches, it either gives me nothing new or makes up and misconstrues information, confidently and with "sources" that don't actually back up its claims.
I would much rather put structures into place that empower users to help others learn how to identify organisms. Something that collates and links discussion threads for organisms would be really cool (imagine if iNat suggested you a few buteos, and then linked you to observations with comments discussing how to differentiate between the buteos offered?). User-curated wikis sound amazing (and again, what if when iNat offered you the suggestion of valley oak vs blue oak, if it could link you to appropriate user-created guides or pages?). What if we used the tools available to us to uplift and connect people with knowledge, instead of scraping it, pulverizing it, and reshaping it into something that may or may not have the accuracy or nuance necessary?
Human knowledge is not infallible, but people seem so willing to believe in everything that genAI says. at least when I learn something incorrect from a person, I am still engaging with the scientific community. I don't know.
I have over 6,500 observations and 47,000 identifications uploaded to this site. What iNat really runs on is human-based connection and confirmation, the auto ID is just a secondary, often unreliable tool. To have an LLM, something that has no real sense of deduction or inference, give faux advice to inexperienced users is an incredibly risky idea. I already have a rough time trying to convince people that the auto ID was incorrect sometimes, could not begin to imagine how much that will worsen when it provides a potentially misinformed "explanation" as well. Taxonomy is constantly changing and often speculative as well so I don't see how it will manage to not pull up outdated information. I hope iNat staff will do the right thing and listen to its userbase because this is one of my favorite websites on the internet and I have never met a more wonderful community in my life.
Editing this to say: I know you are all as disgruntled as I am with this decision but threatening to delete your accounts full of important scientific data and ending your donations to a non-profit organization that relies entirely on donations and grants is not the move at all. Please keep in mind how your impulsive decisions could do much more harm than good.
While I understand the reason, I think the level of the knee-jerk reactions in the comments is not proper of a platform like iNaturalist.
I too am deeply tired of LLMs being shoved down our throats.
I am, also, a person in the exact field where I'm being literally asked to work towards replacing my own position with an LLM. I don't like LLMs. I also thought "Ah sh*t" when I first saw the forum post's title.
With that said, I ask you all to pause for a second and consider this before posting:
-Lots of comments are about "how about a wiki made from humans", about letting the platform's do the work. All taxa have an "about" section that links directly to the taxa's wikipedia article, alongside links to other relevant platforms with info on the taxa. If no wiki article exists, there is a link to create one. Did you edit the wiki articles for every single taxa you offered relevant comments on before to ensure the info is there? Is there any instance of an "This is XYZ because of these reasons" comment that you left without ensuring that same data was added to wikipedia or other relevant sources of ID info for the public? Do you think everyone else also ensures the About tab has all those details every time they comment? Do you realise this project aims to do that work that you, me and millions of others didn't do?
-What do you think your reaction would be if Computer Vision didn't exist yet and it was announced today? Do you think Computer Vision should be removed entirely, since it also tends to give out wrong IDs? Should Seek be binned as well?
-Did you take all possible actions on your side to ensure iNat doesn't have to resort to taking a $1.5M grant from a megacorp? Did you chose the copyright option that allows everything to be uploaded to GBIF? Do you donate regularly? Do you campaign for others to choose CC0 and donate?
-...If you did allow GBIF to use your data, do you realise that that action has already enabled Google to use it without compensation, permission or attribution as well?
-When you say that this will erode the community, have you considered that this use would appear a step before the community gets involved, in the same step that CV appears? Do you prefer for non-experts to have less information at that step, in case some of that information was taken from an user that was wrong before, because you think that iNat users (the same ones that were scraped for the data) should be the ones giving out this information? Isn't that circular reasoning? What prevents the future IDer from being "more right" than the previous IDer whose info was scraped?
-If you think threatening with leaving if this is implemented... What does this achieve? Does removing your contributions to science improve the science? Is "not making my hard work available to Google" (it already was) a good reason for making that hard work unavailable to researchers? Is making LESS good data available a good way reducing the enshittification of data?
I have to wonder if the people making this decision to take money from Google have considered at all how it looks to become part of the AI dog and pony show for Google to trot out to prove they're not the bad guys as they suck up massive amounts of water and resources to feed this massive machine. Was any consideration was given to the environmental impact AI has in our changing climate? What about how this might normalize the reliance of "users" on AI generated content and what impact it might have on a community that is being told to trust the bot? Did anyone consider how this perpetuates the worldwide attacks on science we're all seeing happening by further disconnecting expertise from the people who provide it? This seems like a monumental disconnect from the goal of connecting people to nature, and more about receiving $$$ to futz around with donated labor in a way that no one consented to and it's certainly broken any trust I had.
I've often felt that it would be great if iNaturalist had a built-in framework for users to create, curate, and update keys for clades that have them (yes, there's the About link to Wikipedia, but Wikipedia itself isn't always an appropriate place to have an ID key, let alone putting one at the top of the article where it would be most useful to someone browsing iNaturalist). I'm glad to see that many, many others have also been wishing for such a framework. I think it would be extremely helpful.
As for this project - first, I need to emphasize: LLMs don't know things. They are trained on and operate on words, not reality; they don't have an underlying model of the real world that they are expressing with those words. They have no knowledge, and nothing they say has any connection to reality beyond statistical connections to words they've been exposed to.
(This is not about "AI" broadly - there are plenty of useful and reasonable uses of AI, especially in analysis and interpretation, such as with computer vision. One could imagine using AI to search existing user comments for discussions that help to distinguish species and linking to those discussions, for example! My complaint is about machine learning that aims to produce novel content that purports to relate to the real world, when the machines are not trained on real-world data.)
So, given that LLMs don't know things, are known to confidently claim falsehoods, and are often used to justify massive scraping operations and dehumanization of organizational structures, I don't trust the outputs of this project or the organizational outcomes that may come from it. I thank zygy for mentioning the Wikimedia case, which should be closely examined and considered.
I'd also warn about the material risks if the AI outputs incorrect guidance on the identification of venomous animals, toxic plants and fungi, or other hazards; people may see an explanation once and then never engage with the platform again, taking that misinformation with them even if it is later corrected.
Finally, I would like to make sure that Google (and by extension the MAGA regime in the United States) does not have closer, easier, or deeper access to my data than they already would through traditional scraping of public content. Opt-out options would be great.
We already know there are massive environmental costs to these huge data centers, they drive up consumer power prices and demand huge supplies of water, and there's still no demonstrated use of generative AI that's critically important to society. You can write a legal brief with imaginary citations, cheat on your term paper, or have a medical transcription tool insert weird nonsense into your charts. So far, that's it.
It would be fantastic to have a wiki or even an option for verbose discussion threads like BugGuide has. Anyone who's confirming an ID can add "diagnostic features: arrangement of pronotum spines" or even a link to the published key or species description that says so. This kind of traceability is absolutely essential to iNat's future as a valuable tool for scientists and free-range taxonomists alike., and you have an army of people ready to do it for free. Please don't sell our data, expertise, and relationships to Google for what is, let's be honest, a comically small amount of money for a company that size. Speaking as an insect taxonomist and museum curator, I would lose a great deal of trust in iNat if this is where things are going.
@naelin - There are two problems with using Wikipedia as our repository for identification information: (1) Wikipedia requires its content to be cited to published sources. You can't just go onto Wikipedia and write "The Rainforest Rocket Frog typically has a white stripe extending from the eye to the groin." even if you are the world's foremost expert on rocket frogs. Unless the statement is cited to a published journal article, it will probably be deleted. (2) Wikipedia is an encyclopedia, not a field guide. You can't add things like identification keys and schematic diagrams showing people how to ID organisms. It's not what Wikipedia is for and such content will get removed.
I am a monthly donor and have over 4,000 observations on this site - some of newly described species, some of undescribed species, some of species that haven't been documented in decades. It's been a labor of love. It's so great connecting with PEOPLE here. I'd much rather see iNaturalist pay experts and work to make the site better for science, not turn it into an enshittified extension of Google AI. Please reconsider what you are doing. It will undermine the work of scientists, devalue their study and contributions, and make it harder for them to get funding and be compensated for what they do. It's a bad road and in the long run you will alienate the very contributors that have made this site great.
Do not want. The strength of iNat and the reason I contribute is PEOPLE. The environmental impacts of generative AI are obscene. Making this move is only going to alienate the very people who have made this place what it is. Please reconsider.
I just want to point out:
"For years we have grappled with how to surface the most useful identification tips shared by these members of the community, and we think that generative AI could provide a scalable way to synthesize and share useful information about how to identify the 100,000 different species included in our current modeling process."
The English-language Wikipedia alone has over 7 million articles that were created by community volunteers. That seems highly scalable to me. If iNaturalist's community is cited as one of its greatest strengths, it seems odd to bypass that community with genAI, instead of leveraging the community to help solve that challenge of building a database of easily parsed identification tips.
I took the liberty of putting this thread in ClaudeAI (ChatGPT said it was too long to analyze) and asked it how many positive comments it could find. Only two could be considered positive (out of 47) and one of those was lukewarm. Since then several more comments have been added, all strongly negative.
I will add my voice to the negative. If iNaturalist goes through with this deal, it will lose it's soul. That is not an exaggeration; all integrity, all trust, all credibility will be gone. And for what? A measly $1.5 million? That wouldn't buy you a bungalow in San Francisco. I doubt it would keep iNat's servers going for all that long. If iNaturalist is determined to honk off it's user base, it should at least ask for a decent price tag.
GenAI is pure poison. It corrupts everything it touches. It's so-called "hallucinations" (when human's do it, they're called mistakes) are a problem that isn't going away. I dread to think what sort of rubbish will get produced (and then copied uncritically across the web and even in scientific journals) if this project goes through.
I might be in the minority of thinking this whole uproar is exaggerated and overblown. Clearly integrating more AI is rarely positive, and I think the prospect here is fairly flawed and unlikely to be very useful. But I don't think this is going to "take down the site" or poison the well.
That said, I hope there's also an option for us to add our own or (as curators) manually correct ID remarks, as having no policing of this AI is going to cause problems. Primarily with species groups where photos may bias towards features that are not actually diagnostic.
I am not a scientist, but I do spend a lot of time photographing things I find in nature (ok, mostly birds). For the things I am not as knowledgeable of, I do find the image based machine-learning algorithms to be useful in getting close to what it might be, and then hoping an actual human expert in the field can narrow it down.
LLMs on the other hand, are not specific machine learning algorithms designed to identify species from images, they're designed to work with Language (it's in the name) and they're not particularly efficient or good for the environment when they do so.
I have absolutely no interest in engaging with LLMs or the hype-train around it. I've enjoyed my time on iNaturalist, and hoped I was helping researchers with their work, but if iNat goes down the LLM route, I fear my time here, and my field observations here may be at an end.
Learn from the DuoLingo fiasco, people don't want LLMs in these fields.
I personally am very against this, and it seems like others here are too. The idea sounds great, but I would want it to be done by people, not AI. AI has proven to be both unreliable for things like this (especially summarizing text without leaving out important details or sometimes even adding in it's own, completely fabricated ideas) but it's also quite terrible for the environment we here all trying to document and protect, taking up massive amounts of space, water and other resources. Please Rethink this.
Destroying the natural world with AI while teaching people to appreciate the natural world? No thank you. And I'll be cancelling my monthly donation
Could there be more thorough consultation with the iNaturalist community before a decision like this? The environmental impacts alone should be reason to oppose this move, and the possibilities for awfully inaccurate identification. I use iNaturalist A LOT, but I would strongly consider stopping in light of this move.
I strongly oppose this project on both ethical and practical grounds.
In the walks I lead and the classes I teach, I often promote iNat as an exemplary piece of tech that really does help connect us to the natural world and to each other. In this respect, it is almost unique. Instead of singing its praises, I fear I may soon be warning of its sloppification, its unreliability, its dehumanization, its cooptation by deeply troubling corporate forces, and its abandonment of exactly those things that make it work - community, trust, and human expertise + accountability.
iNat is precious to me. This is a disappointing and frustrating step in the wrong direction. I urge the staff to listen to its userbase. 1.5 million is, all things considered, a really low sum to sell out for.
Feature description would be very useful information together with the species suggestion. But I do not see the point in training an AI to gather the information that is already there in the books and the comunity, but is for now not well linked to the suggestion box. So the user made wiki idea was already mentioned several times and I think also this would be the solution to go for. I already use wikipedia exactly for this, in many species articles they describe the very details to look at for similar looking or closely related species.
Also I doubt that the genAI will get to the needed quality grade of information distillation from images in order to point out the correct features to look at, but will give vague or misleading information. Instead of this, I would much more appreciate an approach of explainable AI to crack the blackbox of the computer vision model. E.g. see a confidence score for the species or the genus or even higher levels to better interprete the suggestions form CV. Or add comunity notes for similar looking species that are suggested from CV.
Why not just use AI tools (or some other search function) for gathering possibly useful comments, and have humans do the synthesizing and decision making? Users are clearly willing to work on these identification notes. GenAI feels out of place and unnecessary here.
I've only just signed up, and then... this.
I was hoping that I might in some small way contribute to the sum of human knowledge, But, it turns out, I'll be putting time and effort into training AI models so that they can replace the humans.
It's all profoundly depressing.
I might add one other point. Of the three LLM families I've been exposed to (ClaudeAI, ChatGPT, and Google Gemini) Google is by far the worst. Compared to the other two, Gemini is a sad joke. INat didn't even pick the right devil with which to do a deal. To quote Sir Humphrey Appleby in Yes, Prime Minister: "If you're going to do this damn silly thing, don't do it this damn silly way."
@silversea_starsong Don't kid yourself. This particular project may seem rather inane, but it's the camel's nose in the tent. It wouldn't surprise me if this isn't stage 1 of Google turning iNaturalist into "iNaturalist, an Alphabet Company."
I see the use-case for this but I would like to echo the sentiment I've been reading here in the comment section, that a user-curated wiki should be prioritized. If the LLM absolutely HAS to be implemented, I'd prefer it come in when pre-existing human-curated information is not available!
Valid concerns have also been raised about the environmental impact of LLMs. I think you would have no issues finding a team of human volunteers among the userbase to collect the info the LLM would come up with.
I am an insect taxonomist and like to lend my area of expertise to iNat as well as post new geographic records I find. if you go through with this I am going to delete my account. I will spend any time or effort or contribute my photos to a braindead plagiarism machine.
The group that I specialize on, scolytine beetles, is already constantly misidentified by the algorithm on here. Adding AI text explaining its wrong answer is only going to increase confusion.
No AI!! Do not partner with Google!
iNaturalist is one of the last remaining places on the internet where people's actual expertise and learning is celebrated.
Using LLM tech completely undermines the whole point of iNaturalist.
iNaturalist has such amazing people power and community. LLM's take the people out. it's the entire point of LLM's.
Microsoft also just released a study sayign that chat gpt is turning our brains to slop so...
https://www.microsoft.com/en-us/research/wp-content/uploads/2025/01/lee_2025_ai_critical_thinking_survey.pdf
iNaturalist does amazing in getting people involved, while LLM's encourage people to stop thinking and stop valuing.
I work with prestigious gardens in my area, and local ecology groups, and local First Nations groups. I won't be using iNaturalist if this goes ahead.
People's IP deserves to be celebrated by community, with real valuable interactions. Not by data severs.
I was so excited to hit 500 observations this week and now that accomplishment feels completely tarnished. To echo what others have said, the environmental impacts alone should be enough to make this a nonstarter for a platform that is supposedly dedicated to preserving nature. Given how AI has been enacted on other platforms, I can only assume that it's too late to opt out, that all of our data has already been fed into Google's AI server. I guess I'm just glad that I never became a regular donor and I definitely won't be donating now.
In trying to think of why iNat's leadership would make this kind of choice, I imagine the possibility of grant money is an important factor. Volunteers do great work and would compile an excellent ID wiki - the team has to know that. But volunteer hours won't fund the technical creation and maintenance of the wiki by staff. iNaturalist does accept donations, but perhaps that's not enough to sustain feature development.
I wonder if perhaps, as an alternative to fundraising with these sorts of partnerships, there might be better ways to encourage donations? Maybe by helping users see the effect of their donations? I don't have any perfect ideas; maybe if there were funding targets tied to deliverables ("We're at 120K of our 250K goal for funding a community ID wiki!"), that could help generate more excitement for donation drives, as well as provide opportunities for outside partners to donate to things that are specifically useful to them from the site. Crowdfunding campaigns do this a lot, to seemingly good effect. Or perhaps iNat could have a few distinct pools for people to donate to that fund different aspects of the platform.
I'm trying to figure out why this deal made sense to the iNaturalist team/leadership (as opposed to many other proposed or in-progress feature changes that seem to see little movement), and what alternatives there are to meet the goals the iNaturalist decision-makers are pursuing here. I think community upset is important to express, but I fear that it won't amount to anything if the decision-makers' motivations are substantially different to the community's.
A user-driven wiki for these kinds of tips is infinitely more useful and reliable than introducing a bunch of AI hallucinations onto people trying to connect with nature. Say no to LLMs.
@eddieroosenmaallen to be clear, I am completely, 100% in favour of changing the default content of the "about" section to at the very least include a user-driver identification guide/resource recommendations/etc, (though I am also quite sure it would be way less useful to folk outside the USA than inside).
I also understand Wikipedia it is not a field ID guide and not always a good place to put some info, but it IS good for a lot of relevant information, iNat can be and is used as a source (primary sources aren't even allowed there anyway), and more importantly it is what is implemented in the "about" section at the moment, yet iNat users don't usually fill in even the most basic data in in most cases.
What my point is is that a lot of comments are about "Let people do the work!" ignoring that there is absolutely no way for "people" to do this work at the scale needed, because we just WON'T. The reason why iNat is aiming at getting the info from comments on IDs is merely the strength of Cunningham's Law: They know they will get much better and much more info from people correcting others than from asking people to proactively answer questions.
Asking the users to manually input field ID data is eons worse at scale than taking the existing user data, process it automatically and then asking users to correct what's wrong. Cunningham's Law again.
@quillipede why do you think aggregating user comments is "bypassing the community"? No community, no data to aggregate. Hell, iNat is literally a data-aggregation platform. If the data processed is aggregated from iNat, it is community data.
LLMs are rather notoriously awful at providing accurate and comprehensive identification criteria, especially for more difficult groups like plants, fungi, and invertebrates (see: the AI slop foraging books & sites that are clogging up internet search results and are bound to kill someone at some point). Users have advocated on the site, forum, and elsewhere for community-provided identification notes for years, so I really don't understand why this - more expensive, less reliable, and very wasteful with regards to energy and water - is the site's proposed alternative. For me, iNat's biggest draw is the ability to receive identifications and other helpful info from real people who have actual experience working with taxa I don't know much about; this adds absolutely nothing to my experience, and if the inevitable confusion it causes drives those users from the site I will leave with them.
I am strongly against the incorporation of an LLM into what has been my favorite website for nearly 6 years. As a budding taxonomist and "power user," I would be happy to lend my expertise to the iNat wiki if developed. I see very little benefit to this partnership, and I do not think that it will have the positive impact on identifying that iNat seems to think that it will.
Edit: If this is incorporated, against much user input, at least give curators a way to manage misinformation.
@naelin Perhaps "bypassing" isn't the perfect word, but neither is "aggregating," which conflates two very different things. If they were using an AI search to find and present links to a series of real comments where IDs were explained, that would be aggregating community content in a way that connects community members - you know who said what in what context, and you're seeing the words of people who have (correctly or not) engaged with real-world information and experiences. You learn who are experts, you see disagreements, you can engage with the community around those conversations.
But training an LLM on comments and having it spit out a smoothed-out summary, while also "aggregating," divorces the information from the community process, from the members of the community, and from the material and scholarly realities those community members were engaging with when having those discussions.
@naelin I think it's unfair to say that people "just WON'T" do the work when we haven't even been given a chance to.
@humanbyweight Absolutely this.
I don't want to just learn what a thing is that I post, I want to know why it is that thing - what makes it that thing, the keys, why it's that thing and not another thing; I want to hear it from the scientists who study the thing, who've devoted their passion and career to it. AI may have its uses but it's not a substitute for that. It's just not. This will not further the mission of what iNaturalist has been, is, and can be.
Please don't do this. Science needs to be more human, not less - now more than ever.
A user lead wiki would be a fantastic way to do this! Its also something users have been asking for for years!! I know there are forum requests about exactly this! I think using an LLM to do this instead of our amazing community disparages the hard work our many wonderful IDers do. Why have an unaccountable robot do the job our thousands of IDers would do better and build our community even stronger. This is a massive mistake and I really hope the staff understands how much many of us really dislike this decision. I feel like not only was this a spit in the face to our community, but shows a disregard for how we as a collective of academics and regular people are important in the operation of iNat as a whole!
Yes iNat uses a learning algorithm to teach it's "AI" to give ID suggestions for what people see. This is EXTREMELY different from a generative AI (LLM) which are not peer reviewed and are known to take shortcuts in information. If the differentiation in ID for a springtail species pair (a group I ID) is 2 setae vs 3 how can we guarantee the AI can take these notes into account properly. There are thousands of obs of the Gray/Copes tree frog pair and MANY obs say cannot be IDed without a recording. Will the AI know not to suggest this on an audio observation? I think its just too unreliable and will create an even bigger mess of work than already can stem from species entering the CV which maybe shouldn't. Among springtail IDers the CV is notoriously bad at IDing many springtails due to the high quantity of low quality photos feeding it (Not an inherent issue on anyone specifics part springtails are tiny and those using mobile devices can only do so much). With just this however it leads the CV to call anything vaguely low res and gray/brown a springtail. I fear that incorporating generative AI to this would only compound the headache we get from just this. I love the CV, but it has its flaws. Generative AI has many more and for a more scientific setting where data accuracy is vital for our partners trust in us (ie GBIF) it is imperative we shouldn't just let an LLM overconfidently contribute to ID processes. I have seen long and vitriolic threads on bugguide where experts outright hate iNat because it feels too untrustworthy in the accuracy of its IDs from the CV and less knowledgeable users who are overconfident in their abillity to ID. Using an LLM to supplement ID where a user led Wiki would be far superior will only serve to alienate these experts further which will deprive iNat of other more valuable ID resources!
Additionally I agree with the many other commenters that it should be opt out from the get go and only be available for users to opt in. I do not like the idea of google having a free backdoor to all my data. If their own AI's can access iNat data what will they be able to see? My home, areas I frequent. Will the locations of rare species susceptible to poaching be accessible to their LLM to give poachers a backdoor to obscured species? How much will they see?
I have been an avid donator to iNaturalist since 2019, but if iNat is going to use LLMs to further drain environmental resources (IIs this not antithetical to iNats purpose and goals to begin with??) I will likely stop contributing to the upkeep of the site. I may even look for another database to house my photos and data. (SOMETHING I REALLY DO NOT WANT TO DO)
PLEASE RECONSIDER THIS DECISION!
iNatualist user for 9 years, 1800 observations, 5800 IDs, and monthly donor for 3 years. I love iNat and use it frequently for science and teaching, and recommend it every time I have the chance. I want to echo the concerns with this partnership that are eloquently and convincingly written above.
@blazeclaw I agree. This decision will drive away experts and prevent others from becoming identifiers here, even more than has already occurred due to lesser data quality management tools. Completely agree with your last paragraph, as well.
I would be troubled but not surprised if an AI trained on observation text/comments or taxonomic literature produced ID explanations that were often incorrect but sounded expert, which would be unhelpful and could mislead new users.
If the AI is just recycling user comments I question the value of this investment, because it's not hard for site users to put that together manually into a wiki, and site users would do a better job than AI. That said, if AI is able to put together suggestions that don't actually become official until site users can 'validate' them based on real evidence, that might be a good starting point? In other words, maybe prioritize making a 'wiki' kind of resource, and if you want to use an AI, have the AI offer suggestions to make the research process faster? The AI suggestions probably need to have links to their original sources, because otherwise there's potentially zero credibility.
Also, speaking of Wikipedia and the 'about' pages, there are often helpful tricks to separate species (e.g. nuances of color and shape) that have never been published in peer-reviewed literature or field guides. Even if they are mentioned in literature and someone who close-reads a bunch of species descriptions can see they are unique, these characters are not explicitly pointed to as diagnostic in nature. As a result, these characters are not cite-able from reliable sources for Wikipedia. It would be best to get these published somewhere so they are authoritative, but inat taxonomic experts usually refrain from doing so, because it's a long process of discovering new characters. For an individual character, saying 'I looked at a bunch of specimens and this character proved reliable or unreliable' is good enough to validate it. The trouble is that often you can stare at two species for years and not notice an easy way of separating them until you come at the problem with fresh eyes. As a result, it takes years and a lot of collaboration to really develop the best field characters. An iNat ID tools wiki would probably end up with a lot of good characters that haven't yet been published in the literature. What happens to these discoveries if the iNat platform disappears? Do discoveries published on the iNat wiki have the longevity of real peer-reviewed literature? Could users develop diagnoses on the iNat wiki and then adapt them to publish new diagnoses in peer-reviewed literature and books so that they have credibility and longevity?
iNat wiki idea:
-collaborative; can change based on criticism (pro)
-incremental growth (pro)
-uncertain credibility (con)
-uncertain longevity (con)
iNat AI suggestion idea:
-could be a helpful research tool if this doesn't serve the purpose of making ID suggestions like the CV, but rather is sort of like a search engine that gives you links and highlights of comments explaining 'what makes this species different?'
@edanko Fantastically written and all more great points! Please iNat staff JUST LET US MAKE A WIKI!
Please don't do this. GenAI consumes a ridiculous amount of energy, exacerbating issues with global warming and impacting not only plants and animals but people who live in places where they've decided to build more data centers. We're all here on this app because we love the natural world, not because we want to destroy it. Plus, I would much rather learn how to get better at IDing stuff without the help of GenAI. PLEASE listen to your users, we don't want this change. I will definitely stop using iNaturalist if this goes through.
I hope you intend to put out frequent environmental statements detailing the energy use and environmental conservation of these systems. You also need to opt all users data out by default. I think this is a terrible idea that's going to at best lead nowhere and iNaturalist should be ashamed they allowed themselves to be bought and for such a small amount of money. These systems are not very effective and have an enormous environmental impact and Google is monopolist that has abandoned all its environmental commitments to pursue these technologies. This is such a disappointment.
do not do this thank you <3
This is so disappointing. You have been my one shining beacon of hope as US fed-funded conservation projects (like mine!) are defunded. I thought we had your support to continue science, not throw us into Google's AI woodchipper. Is this really what the spirit of our CC licenses are? You're taking steps that will result in past observations being deleted and future observations being untrustworthy.
This website depends on the labor of experts. You're saying our job now is to babysitting AI that will always have random hallucinations and failures. Why are you making our volunteer job harder?
Quite frankly, inviting gen ai imagery into this website is celebrating the downfall of inat: false observations. If you welcome genai images here, you are welcoming genai """""observations"""""". Once we lose the ability to trust observations, inat loses its entire reason for existence.
Respect your contributors' labor, respect the core spirit of iNat. This is not it.
Other commenters here have thoroughly covered the same points I would be making -- but I wanted to take this moment to say that I will without any hesitation delete my iNaturalist account, all my observations and identifications, if this change goes through. It deeply saddens me to part from a website that has brought so much positive change to my life and learning to the naturalist community, but I cannot stand by this decision. I am certain that many others feel similarly.
Who asked for this?
I have to say I am disappointed to see iNaturalist going this way. Do not partner with Google. At the very least, I hope you do not kill the classic iNaturalist app. I tried the new one and couldn't stand it. Complete pain in the neck.
I'm optimistic, simply because I have seen for years that iNat staff like @loarie value nature, thoughtfully ID observations, and build up taxonomic knowledge with our community. I am hopeful that they, like us, have high standards and will make decisions based on the same values. In other words, I assume that the iNat staff have already taken into account all the problems that have been brought up above, and plan to use the AI in a role where these problems are irrelevant. When there have been trade-offs in the past, as with the rise of unreliable CV suggestions, I think these trade-offs were still made based on the overall preferences of iNat users?
Some notes on making a wiki, that are also relevant for an AI that has a wiki-like output:
When it comes to explanations of how to separate species, citations are critical to demonstrate credibility. If I share a diagnosis, it's because I've either seen on my own that it works or I've put my trust in another source. Since I can't simply trust AI or a wiki, the credibility of AI or a wiki is contingent on the quality of their citations. If the AI or wiki employs citations, this also allows others to reproduce information shared by the AI or wiki and give the credit to the source cited by the AI or wiki.
When I give someone a set of characters to use for ID, I am saying "@edanko looked at literature and/or specimens, and the bottom line is that @edanko found adequate evidence that these characters are reliable." For example, let's say I once noted that a certain species was the only species in a certain group in North America with orange legs. Perhaps I was not the first to discover the leg color, but I was the first to point out that the leg color was a reliable way to distinguish this species in live individuals that have not discolored from being preserved. If so, the 'citation' for this character may simply be "unpublished work by @edanko".
This sounds great! I'm laughing really hard at everyone asking for a wiki, because it already exists. And if Wikipedia isn't good enough, there's an entire sidebar full of links to academic and community resources. The problem is synthesizing them, on the fly, for circumstances specific to the observation.
Please stop condescending to the developers about the difference between a classifier and a generative language model. They know.
iNaturalist got a grant! Hooray! They can explore more features for making the platform more accessible; the more users there are who get interested in iNat because an LLM held their hand through their first identification, the better. And who's saying the LLM can't be corrected by users, or start the seed of a wiki that pulls from various sources and allows user edits? If they're thinking of building a knowledgebase for RAG, they might be able to create a UI for it. This is also a great way to give those third-party academic sources more clicks; if the LLM gives citations (which is both ethically and academically important!), users can verify the claims for themselves. Lastly, this could help users dip their toes into the community by encouraging them to justify their observations by including specific details pointed out by the LLM.
I trust iNat to develop this in a transparent, ethical, and useful way. All things considered, I think this is a really exciting development! I really hope the reactionary response doesn't kill the project entirely. The vision and geo models are already so useful.
I'm also a little confused--are the iNat staff talking about an LLM that reads iNat comments/text and acts like chatGPT, basically? This seems to be what others have assumed above.
Alternatively, are we talking about actually improving the CV interface so that it can speak for itself, so that instead of the CV saying "We're pretty sure this is in the superfamily Dendrobatoidea" it says "We're pretty sure this is in the superfamily Dendrobatoidea because body-part-so-and-so is shaped so-and-so"?
Long time user, and regular donor. The US is reactivating coal plants to power GenAI. I want no part of that.
Pasted from forum and edited. I dont have the energy to explain in huge detail, but i stand with what seems like the consensus of my fellow inatters like @zdanko @blazeclaw @humanbyweight @zygy and so many more, (i recognize so many names).
AI should not be entrusted to give detailed explanations on how to ID species, (this is different from expanding the CV to explain itself. Although it is pretty much just an image matcher). 80% of Chironomids haven’t even been IDed on INaturalist. How on earth can it be expected to generate anything close to accurate when it may only have access to 5-10% of information for species of the group?
I fear this will just push many large identifiers away making issues around data quality, misidentifications, correct identifications, and community health worse.
Edit. I can try to have faith implementation is good. But its just hard. In large part becuase the CV itself still has so many issues and creates many challenges already for certain identifiers.
@edanko that is my understanding, yes. Which is a lot less disappointing than "LLM replaces everything", which I initially feared would be the case, and, admittedly, a lot of people seem to be assuming that "LLM replaces everything" is what is happening, here. I'm still not loving this news, to be clear. But being reactionary gets me nowhere, so I'm trying to keep a cool head about it.
@edanko - The computer vision models don't know why they recommend an identification. Human input is the way to get such answers.
Please. People are deleting their accounts actively, right now. It's in full discussion on bsky right now. The longer you wait to retract this, the more observations are deleted. Please. Speak out. Please. Save all our work. Please!
The community is speaking! Please! You have to step up ASAP!
I am completely opposed to the incorporation of generative AI in any aspect of iNat.
As this is a user based platform, let's keep things user based and not AI based.
Using generative AI for creating species descriptions is an absolutely terrible idea given how badly this type of AI hallucinates and creates outright false information, even when making 'summaries'.
To my mind this move is diametrically opposite of the entire point of iNat, which is to foster more human engagement with nature and learning about nature.
I am incredibly disappointed both by this decision, and by the fact that the user base was not consulted beforehand.
I have dedicated literal thousands of hours to helping to identify and curate, as well as donating money even though I have little to spare - and in return something like this is sprung on us?
There have been many requests for user-editable wikis and ID guides, which would be a great idea. There is absolutely no reason to collaborate with an unethical mega-corporation and use a shoddy, error-filled, and environmentally and socially disastrous technology to do so.
This feels like an absolute slap in the face to everyone who has worked to build this community over the years.
From my post in the forum:
So rather than take a step back and look at the overwhelming majority of iNat users explaining their opposition and concerns to this, iNat has decided to double down on it. I feel like absolutely no questioning or research was done on this. It doesn't take much looking to see what the average user of iNat is and how said users feel on gen AI. We're not Facebook or Twitter users who suck up to it, we deeply oppose it.
The stated reasoning for using this AI is something humans have done for centuries: Identification guides. Why not have a section on species pages where we humans can add that ourselves? Human writing can be vetted and easily edited. Most people would rather no information than unconfirmed data that comes from gen AI.
It's the same reason it's dumb that iNat pushes heavily to get an observation down to the species level. Many observations simply have bad photos and therefore bad data to get there. If a human can't ID it, AI definitely can't either. And this comes back to the whole identification guides. What happens if a species only has single digit observations? Gonna make an assumption on that?
Like I said earlier, species guides exist already that date back centuries. I'm sure people would make guides on iNat if you added the page for it on species. That way it'd be done by people who are actually knowledgeable in the species or have proper data. I imagine it'd be a much easier thing to program than AI.
And finally, it's frankly disappointing that this wasn't brought up with the community or funders. It seems that once an organization reaches a certain size, transparency deceases and communication slows down. I was seriously hoping iNat would be different since it was built and run by the community for the longest time.
Please, just abandon this project like people are begging you to. Many people are deleting their accounts over this, which harms data even further. Nobody wants gen AI or Google associated with iNat or our observations. Read the room, back down.
@spidercat the words "At the scale needed" were key to the part of my sentence that you quoted.
Of course some of us will contribute. We can't do it at the scale of an existing data churning machine with a "fix my mistakes" function attached.
When compared with academia, citizen science is already quite similar to that. We generate a bunch of slop, of wrong data, of "hallucinations" (I've seen quite some of that myself). Yet we are still useful to science because in the end the useful information weights more than the bad data.
I don't think the meta AI button in my whatsapp app or the AI summary in Google gives any value. But a tool that has iNat's user provided justifications as its source of training data AND can be curated (as stated in the post)? Yeah I do think the usefulness will weight more than the slop, and have a bigger impact than an equivalent tool made solely by the slow combing of proactive users.
@chase-prairie As far as the blog post states there will be no generated images for this tool, only text based on people's comments justifying IDs, and the tool will contain a function to curate the information. I agree generated images would be a terrible idea, thankfully it doesn't seem to be within the scope.
@zdanko, @turtless it is stated in the post that this will take train on the community's input and there will be an user-driven curation function.
@gvbox, @jaybugjabbers, @antrozousamelia, @cnestus I see you are people that spent considerable time and effort contributing to science with your observations and IDs. I understand being angry at this development. I understand having a knee-jerk reaction. I even understand wanting to stop using the platform. But what does removing your contributions to science achieve? Who gets hurt by it other than the researchers using the info, the humans trying to look at human-generated data, and yourself?
Seems i'm going to regret having explained to community members about how i'm making more precise identifications on observations as the "Google.org Accelerator" text read "iNaturalist enhances biodiversity data by converting thousands of identification remarks into natural language explanations."
That said, i'll initially go against the trend above to state that i'm very glad to hear a core of this initiative may revolve around drive to present the "WHY" with any proposed identification (and therefore with any name potentially link to a wealth of data from that). If grand initiatives like EOL had not had the typical boom and bust cycle, then maybe this system could have looked there as once tried, but iNat must continue the push in its own direction and increasingly shows us a leading role.
The comments about a user driven wiki based approach seem to be something that's really worth investigation, at worst as a parallel source of ideally high quality user generated information that the exploitative AI can use as one of its training sources. I don't see how any the existing core wiki sites provide scope for what seems desirable to many above, yet a parallel iNat linked initiative could. Another past scheme that existed a few years ago was "Species-ID" (then on species-id.net/wiki) but now i see only parts through Archive, e.g. Wayback machine. Plenty of things since have developed about extracting out core text on diagnoses and identification from open access taxonomy works. There's much scope to now actually develop something unify that information, but i'd hate to see another thing being thrown in that again lacks much human intervention - especially as iNat already has that giant, engaged and often highly informed community. How many replies above? The interest is there.
Anyway, the lack of on the "WHY" for identifications is perhaps the biggest thing i see lacking in iNaturalist to date, hence i welcome any steps towards that. Many users want to learn about their observations, so improve their knowledge of nature. However, in terms of the role of AI, then I'm another who is still very skeptical and even negative - on team luddite. As someone who has tried to share my knowledge from my own study and education (gathered through significant time and monetary investment), then i see how this can be viewed as another development that exploits the once gifted collective expertise across the community. Educating others is of course about knowledge sharing, but i'm not keen on exploitative AI doing that (still unpaid) job for me, and worse, it producing terrible results (as generative AI overview does on anything taxonomic from that system's search engine results). Of course the modern world is still in its infancy of what AI can do, but if the next steps on iNaturalist are going to be led by scraping existing content, then i'm expecting low quality results for a fair while and alienate many. I fear that will only generate distrust from many users and bias what was previously freely said. Worse though is my concern how my own words will be used to produce awful output, for example, I've often used simplified approximate wording to avoiding precise and complex terminology that many casual users often seem intimidated by (in hopes to be more understandable to the widest audience). E.g. a hypothetical case from the specialist taxonomic literature of "Retrolateral margin of tergite IV with parallel rows of pearlescent nodules" might become (as my comment under an observation on iNat) as "there's a special arrangement of little bumps on the sides of the abdomen". Even then i'm doubtful some readers will know what an abdomen is! The point of these final words is for the informatics staff to think about the quality of scraped information that might be pulled by automated systems and fed into any potential AI, the standard problem of Garbage in, garbage out (GIGO). The AI system could present users with a reformed AI approximation of my poorly public "special little bumps" or it could help users to determine accurately what "pearlescent nodules" are and where they are on the creature. It's your call on which way to go on this iNaturalist!
Here's my initial reaction to this blog post, assuming that it's about getting the CV to explain itself, before I started scrolling down to leave a response and was surprised by the level of alarm:
Congratulations!
Cochliomyia and Compsomyiops:
For decades these fly genera have been separated in North America by subtle microscopic characters as shown here: https://docs.google.com/presentation/d/e/2PACX-1vTSrEJRB75acXt78vSQZsu9qL0ZS33gXUsqk0Y9DyXZV2MOvSnyvKYBRus-vdYDBQ/embed?start=false&loop=false&delayms=3000#slide=id.p44
Then a few years ago, after I'd already painstakingly IDed 100s of them on iNaturalist and BugGuide, a beginner just learning about these two genera pointed out to me a super-easy way to separate them:
https://bugguide.net/node/view/2191656/bgimage -- the stripes on the thorax don't go all the way to the front
https://bugguide.net/node/view/2103913/bgimage -- the black stripes on the thorax go all the way to the front
This characteristic was ignored in published literature because it goes away when specimens are stored in alcohol, and perhaps also because this kind of habitus-level character is easy to miss when only looking at specimens under a microscope.
If we can get the CV to explain itself, then even if it's usually junk, if we can occasionally get insightful differences like the above that are so obvious that you go 'wow, how'd I miss that?', then I think that would be quite valuable.
@naelin I appreciate your intent to talk nuance right now, but I don't think this is being taken as urgently serious as it should be. Nuance needs to be worked out before hand, not after the project is announced. People aren't waiting for nuance and clarity to delete their accounts. They're just doing it. This is blowing up on Bsky right now and I'm horrified how quickly things are falling apart.
Admittedly, I'm probably the least technologically aware person here, but I remain optimistic and decide to not rush to conclusions about what this may mean. So far, I'm not seeing anything in the journal entry that goes away from the mission statement and vision of iNaturalist:
"Vision: iNaturalist's vision is a world where everyone can understand and sustain biodiversity through the practice of observing wild organisms and sharing information about them.
Mission: iNaturalist’s mission is to connect people to nature and advance biodiversity science and conservation.
What is iNaturalist?
iNaturalist is a lot of different things, but at its core, iNaturalist is an online social network of people sharing biodiversity information to help each other learn about nature."
https://www.inaturalist.org/pages/about
All of us are entitled to opinion, no doubt, but mine is not one of worry nor concern -- I'll continue to embrace the community (current and new) and engage with nature by utilizing iNaturalist to share my experience with the outdoors.
That's cool. I hope you're ready to see users mass-deleting their observations and shutting down their accounts en masse as a result of moving forward with this.
I just started using inaturalist again after 6 years of absence to great joy and I am overwhelmingly disappointed in this decision. I did not come back because I wanted a plagiarism machine to tell me about what I'm seeing to varying degrees of correctness. I came back because I want to genuinely learn from the people who make this platform what it is. I am also not interested in helping feed the plagiarism machine, so if this continues it looks like I'll have to find somewhere else to go to learn guilt free and delete my account.
Google gave up on their "Don't be evil" motto in 2018, and this year in 2025 they removed their pledge not to use AI for weapons. They are collaborating with fascism, with war, genocide, and occupation.
I will delete my data and my account before I will have my data used in any way by anything associated with Google.
This is the most intensely disappointing news I could have read from iNaturalist.
I am an early-career spatial ecologist, and I have published and currently intend to keep publishing ~3 manuscripts a year that use iNaturalist data. My work deals with the spatial distributions of many insect species and iNaturalist data has, until now, been a huge benefit to my work and that of my colleagues.
Species definitions are driven by specific diagnostic characters identified in literature, which, when paired with expert knowledge allow the determination of one species or another. In insects, these characters may be very slight, such as the presence or absence of spined tarsi or some clump of hairs or any other number of obscure characters.
Although I tremendously respect the existing iNat CV model as a triumph of computer science, given the staggering number of classes, the model itself has considerable shortcomings that already make iNaturalist data challenging to incorporate into research. Specifically, the existing model does an exceptionally bad job at expressing uncertainty, particularly within genera with many similar-looking species. This leads to non-expert users selecting the single taxa within a genus that is recognized by the CV model, which often leads to thousands of inaccurate and misleading identifications, which significantly degrades the scientific utility of iNat data. If iNaturalist wishes to continue pushing the bounds of useful machine learning models for scientific discovery (a laudable goal), there are many innovations that need to be made around communicating uncertainty in the existing models to users.
The TI's that are the backbone of iNaturalist already fight uphill battles against CV models that improperly communicate model uncertainty. I fear this "partnership" with Google's LLM technology will only make that problem much worse for TI's by giving them more inaccurate information to edit, curate and correct.
I wish very much that iNaturalist would instead prioritize integrating species definitions, from actual literature and curated by TI's (a wiki, please), into the identification UI instead of trying to shoe-horn in an inappropriate use of LLM's to scrape existing shorthand text on iNat. There is no-where else on the internet where field-guide style diagnostic characters are stored in proximity to occurrence information and curated by a dedicated team of volunteer experts. Trying to create such a tool with LLM’s instead of precise human control is an inappropriate application of a fancy autocomplete desperately in need of actual use cases.
The decision to “partner” with Google is disgusting. Google is one of the world’s most ecologically destructive corporations with deep roots in mass surveillance and weaponry and Google’s LLM technology is built on the back of untold terabytes of stolen intellectual property. Google is not partnering with iNaturalist out of some benevolent mission to characterize and democratize the world’s biodiversity data. This is an attempt to greenwash the rightfully destructive reputation of GenAI and likely will serve further development of Google’s unwanted GenAI algorithms. Regular people do not want LLM’s and GenAI pushed into every possible product – these technologies are not the future – they are a massive bubble intended to compensate for a falling rate of profit and in a decade this decision will be looked at with as much derision as one to incorporate NFT’s, the Metaverse or bitcoin into iNaturalist.
If iNaturalist does not offer a fully transparent look at how Google will be able to access and use data and offer users an opt-out , there will be repercussions. I will personally find alternative methods to upload verified digital vouchers to GBIF. If it is not possible to opt out of sending my data to Google, I will consider deleting my observations and re-uploading them elsewhere and I will work on create software to make that process and frictionless as possible for other interested users.
This decision to add and filter identification text with Google's LLM technology will make me far less likely to include iNat data in future publications both on ethical grounds and on accuracy grounds – iNat does not need additional imprecise tools that hallucinate diagnostic charaters, it needs better UI’s to integrate concrete scientific information around species identities with prospective observations.
We want human-made wiki from experts. AI can never and will never (atleast not any time soon) replace human skill and knowledge.
I really can't condemn this move strongly enough. Please seriously consider returning the grant.
The amount of comments already existing makes it a moot point to rehash just how bad of an idea this is. But I wanted to throw in my two cents, ever so briefly, on one particular fact. It seems rather counterintuitive, even antithetical, to support the usage of an LLM-based program, one that would need to be so incredibly specialized that it'd no doubt require insanely intensive resources, when iNaturalist purportedly seeks to "[...] advance biodiversity science and conservation." This is not beneficial to science. This is not going to advance conservation.
In addition, the implementation of an LLM to "[...] support the hard work done by folks making IDs[.]" is directly in conflict with one of the primary stated characteristics of the site, which directly from the About section, states, "iNaturalist is an online social network of people sharing biodiversity information to help each other learn about nature." The keyword is people, here. People. Not an LLM spoonfeeding information that is, more likely than not, going to be wrong. iNaturalist is a community at its core, not a piece of technology. If we are so inclined to resort to the LLM hype, then I believe it'd warrant the removal of that statement. Not only does it demean the hard work of identifiers by taking hard-learned knowledge and watering it down, but also, there's no realistic way for this to be implemented and not go horribly wrong. Not everything can be identified to species, but just like CV, an LLM will have the goal to do just that. I worry that this misplaced confidence in identification by an LLM will only serve to poison data even further.
This is very disheartening news. I'm sorry to hear that iNat has chosen to collaborate with such a problematic corporation, utilizing such an environmentally destructive technology, which has the potential to jeopardize the integrity of the data being gathered.
Guys, NO AI. I work in data. It’s such a bad idea to use AI. Please, don’t use that slop.
This is disappointing. iNaturalist is a huge part of my life and the biggest part of it is that it's people-powered. I would love a feature where experts could put identifying information into a database themselves. This isn't it. I've seen so much misinformation get spread because of generative AI because it relies on majority opinion rather than expertise, and you're putting it into our system in the name of efficiency. We don't need to be on the cutting edge, because the cutting edge is destroying our planet. Discovery is meant to be tedious and take time. Constant growth in nature is cancer. I would hope that a company like iNaturalist would resist the urge to min-max their stats like this.
Most of us care deeply about the environment and don't want to cause harm to the thing we're documenting. If there isn't an opt-out option, I will be spending a lot less time on the app. It's a huge bummer.
Respectfully, this is completely unnecessary and I hope you reverse this. If we want to know the reasoning behind an ID, we can easily just ask an actual human being. iNat has tons of professionals that will gladly offer much better explanations if asked without the price of our data. The cons strongly outweigh the pros, anyway.
I think I'll pause my iNat usage until these concerns are satisfactorily addressed, since it's unclear whether our contributions will be used in an acceptable way once this is implemented.
iNaturalist’s vision model to identify flora and fauna is incredible.
Google’s attempts at generative AI have so far been misleading and dangerous garbage. Suggestions we use glue to hold cheese on pizza — an actual result from Google — are easy to spot.
Generative AI will potentially lead to more dangerous results with unacceptable consequences.
I would like to opt out.
Very well said @edanko, @blazeclaw, and @tworm, very great points!
This strongly needs further clarification. My opinions and thoughts change on what is actually happening and is "the plan".
Are user comments being used to train an llm? Is the CV getting an upgrade so it can talk and explain why it thinks its this species?
What is the plan?
This is fracturing the community, we need to have clarification.
The guy who is nearing 13,000 observations, who constantly encourages others to use the iNat app, and who owns 2 iNaturalist t-shirts says... No thanks. Do not use my photos for anything AI-related. Don't care how much money Google or anybody else is offering. Get it done the way you have been doing it all along:
People power!
I kinda surprised to see such comments on site which main feature is a user-trained computer vision system(virtually an AI suggestion already?)...
Could anyone explain how it is different from generative AI?
Or everybody just hates Google and LLM and that is the trigger?
And Inaturalist is using Google Cloud Platform (GCP) to train its computer vision models since the beginning of Inaturalist...
there is very clearly a transparency issue here. I recognize a lot of names in this comment section. a LOT of names. a lot of power users expressing their distaste for these changes, vowing to pull back from the platform, or even delete their accounts entirely. this is not great! I also see a lot of misunderstandings of what is actually going to be implemented, here and in the forums, but also especially on bluesky. I won't delude myself into thinking that it's a majority of users that will be deleting their accounts in protest - most likely, most users won't ever have a clue this is even happening. but very vocal, very involved users have some STRONG feelings about this, and I think a follow-up announcement with a LOT of elaboration is warranted. this isn't irredeemable. but this is a bit of a bungle, y'all, and putting in the work to regain trust would go a long way.
basically, iNat need to do damage control, and fast. you need to make extremely clear what, exactly, the plan is, and how, exactly, the data are going to be used, who will have access to it, and for what purpose.
or just carry on and pretend nothing is amiss. which might be convenient enough, and it might "work". but it would make me and others really sad and disappointed.
full disclosure, I'm not the biggest fan of this news, but I am not doomsdaying, nor am I planning to pull back from the platform. I understand the implementation proposed here is pretty "light". but cmon, y'all. read these comments. read the forums. people are freaking out, and given the state of, well, everything lately, I cannot blame them. giving some reassurance and at least acknowledging people's fears here would go a long way, I think.
TL;DR maybe read the room? or not, I guess. 🤷🏻♀️
@krokozavr
There is abundant information out there delineating classifier models (like the CV) from GenAI. In very simple terms, classifiers don't hallucinate information in order to always produce outputs.
I really dislike the thought of this feature. I'd greatly prefer a wiki instead.
@spidercat Strongly agree. In the Unoffical INaturalist Discord, there is actually quite a bit of confusion over the vagueness of this post. It really seems some read it and interpreted a different meaning. I certainly did from some others, enough i may delete my original comment becuase i dont exactly know what is happening.
Also concerningly there are already reports of certain users deleting their accounts even when it seems there is much confusion over what is happening. Some even encouraging others to delete their accounts.
Everyone needs to pause hoping on the band wagon, and staff VERY much needs to clarify what is happening and is planned. The above post is vague and creating miscommunication issues.
@tiwane I'm sure your aware, but in case your not.
I think if this is indeed being implemented in a way where Gen AI adds photography tips in conjunction with CV akin to 'CV is confident this is X genus, which are typically then identifiable to species by Y feature(s), try making sure those features are visible the next time you photograph this organism'. Or 'The distinctive X feature is visible, which indicates Y species is likely.' this is probably a good feature that compliments the existing CV, which is not perfect, but is a good baseline for those who don't have much experience identifying what they are photographing. One wonders if using Gen AI is actually the best method for implementing such a feature though.
I think iNat needs to be really cautious with how they announce and utilize Gen AI solutions and make it very clear that an AI will not be making authoritative statements on what is criteria for species identification. These are not popular tech solutions that are prone to inaccuracy and will make many people upset when implemented. I definitely had a very strong negative reaction initially, but I think if the scope is limited to just compliment CV this COULD be OK. I agree with the majority of the concerned posts here as well, lots of potential for this to be a bad move, and probably far more elegant solutions available to implement this feature than reliance on Gen AI.
As many people have already said much better than I could: this is a terrible idea and a quick way to make your follower base lose trust. Your "FAQ" includes some nice fluff statements about the website and AI use but does nothing to address the actual concerns expressed here and on the forum, which are:
Unless you can address these concerns, I doubt you'll change peoples' opinions on this project. I understand that, as a small nonprofit, it's hard to ignore this kind of money. I also understand that there are ways iNaturalist needs to be improved. But this is not the way to do it.
I'd like to ask iNaturalist to update its Terms of Use (https://www.inaturalist.org/pages/terms) to more completely address user contributed content. At present, the Terms grant iNaturalist a license to utilize "Content" in certain ways related to "Your observations and journal," but they appear to be silent on Comments and Identifications as forms of user contributed content, and the ways in which the platform may "reproduce, modify, adapt, and publish" them. I think given this planned new direction, an update is in order.
@danielmorton
You said:
"Don't kid yourself. This particular project may seem rather inane, but it's the camel's nose in the tent. It wouldn't surprise me if this isn't stage 1 of Google turning iNaturalist into "iNaturalist, an Alphabet Company."
I think this is unfair to say. We already have Computer Vision as a main component of iNaturalist, and the current project only intends to enhance this with a "we have suggestions, but now we'll have suggestions and text explanations" process. I would rather that folks were open-minded and could see that this potentially is the beneficial teaching tool it is described as being. That said, I think there will be several problems with it and it will ultimately not provide as much benefit as it seems. But the uproar about "adding AI to iNaturalist" is really unwarranted.
If things go south in future, you can be sure I'll be here to admit I was wrong.
wow. i really used to like inat.
time to find something else, i guess.
@sandiegomike your photos are not included in this project, this project uses people's comments for adding snippets to the Computer Vision suggestions. Your photos have been used for training inat's AI for years already. It's how computer vision works. AI for the initial suggestions and people powers after that it's "how they have been doing it all along".
@zygarde what are those specific cons? Depending on the license you chose, your data has no price and can already be legally used by Google. Those INat experts are what this tool will be trained on.
I think most people are not realising the idea is to train the model on the comments from the user - this is not adding chatgpt to INat. Chatgpt is garbage because it's training database is garbage. Whatever tool comes out of this will be as garbage as our community's data, except it will also have curation options.
@chase-prairie the community's instinctive and self destructive panic is the whole reason I'm trying to add nuance even when that puts me in the devil's advocate position.
This kind of user boycott never hurts anybody other than the people and goals that the boycotters are trying to protect. So much so that some brands purposefully generate rage bait to make people "boycott" them so they get free advertising.
Look at Reddit. A LOT of users have deleted their accounts and mass-redacted their comments during the last boycott. Reddit is alive and well but now trying to get useful information from old threads is a pain because of all those redacted comments. The only ones impacted are the people looking for valuable information, not the advertisers or the company.
All of these users getting angry and deleting their accounts are solely hurting science, the community, researchers. Creating gaps in previously existing information, moving tens of thousands of observations back to "needs id", making the balance between good info and slop worse than before.
To what end? Google is not going to get hurt by it. Inat either. The sacred human community they are deleting their accounts for very much will.
This is so disappointing. The way you used non-generative AI in the past made total sense. I don't want any generative AI involved in any of this! You shouldn't trust google to have your best interests at heart. They definitely don't have OUR best interests at heart.
@tworm well, Inaturist suggestion system does not hallucinate..but it fails! And quite frequently... So, what is the difference?
The bad thing is that it will show (pseudo)meaningfull text together with suggestion which will discourage people to disagree with identifications?
It's interesting that inat wants to help make ID's more reliable but at the same time an admin censored my post and cut off comments after only 5 comments (btw from some of the most prolific posters and observers and knowledgeable people in the field) one of which was there are too many bad photos and another too many incorrect ID's on a huge amount of moth posts. Certainly a slap in the face to some of the most prolific contributors here. One wonders if admins have any standards themelves or can any one of arbitrarily stop comments and/or block or suspend accounts without any due process. Quite concerning. This is absolute censosrship. I am unaware of any violation involved. Quite the contrary it was what we call constructive criticism. I guess that is not allowed here. Should I be worried that my account will be closed becaue some random admin didn't like my comment? It's happened once with me already and the guy is still an admin. I'm surprised you have not cut off the comments here as most are quite negative yet you cut off mine and other after only 5. What hypocrisy. lol
@alisonrobin fwiw google is just the name behind the funding grant, I don't imagine they will have any heavy hand in how iNaturalist builds the new CV features.
@john_ibis the majority of the comments on this blog post are criticism. Infact some are not even constructive and are destructive criticism.
Very bad idea for the many reasons articulated by others that I won't repeat. iNat seemed like a place/group of people that would resist the bandwagoning towards generative AI I see in so many other places. I hope iNat leadership takes these comments to heart and reconsiders this.
I think people threatening to or actively deleting accounts, esp. those with tons of contributions on the IDs made end are kind of overly hasty. I know the whole AI buzzword has kind of become a bogeyman, especially on certain ends of social media but like. lol iunno. That being said? This just kind of feels like a nuisance feature at best that will increase the amount of wrong IDs made via CV, confirmation bias from a text snippet and all, especially for taxa that the CV struggles with (and with these groups in particular it seems that experts on them often tend to disregard inat as a worthwhile source of data and thus the site remains a poor resource on all fronts for them without anyone even attempting to correct ids). Plus if this feature is going to shake out the way that it sounds like it will, you're going to need curators to go through each description for all but the most visually apparent and well sampled of taxa with such a fine toothed comb that you may as well just have it be user made in the first place
To those who have expressed principled hatred of Google - I honor your reasons, but have to point out (as some others already have) that if you intend to deprive Google of any and all support, then you have already been in the wrong place all along. Indeed you should be leaving the Internet entirely. (And even then...)
Flippant comment (but with intention to help things keep focused on identification issues): If only biological taxonomists had been publishing diagnostic keys for identifying creatures for several hundred years! Imagine what a resource that might be?!?
@naelin The only thing that is going to stop reactive panic is official news from iNat. We can say whatever we want on the forums, posts, bsky, etc. Nothing we say has any meaning until iNat affirms their intentions. Doesn't erase the value in the nuance you are contributing, but you aren't the person we need to hear from right now.
I think people feel they aren't being heard. So long as iNat remains silent, the deletions will continue. The only power frustrated people have in this situation is to remove their contributions to the project. One of the major problems with genAI come from the callous indifference to consent. The tool of protest, in this philosophical battle, is the right to revoke consent. Thus, deletion.
I really, genuinely hope we can find a happy resolution to this. I don't want to delete. I love this community, I love contributing, and I love what I can do with the data.
I really don't have time to read through the mass of responses this blog has generated, but I do have a technical question:
@carrieseltzer Q: At this point in time, does staff have some sense of what the manifestation at the UI from all the GenAI text crunching will look like? Will this show up as supplements on the "About" tabs on taxon pages? Will it pop up when someone (initially or secondarily) suggests an ID for an observation?
Selfishly, I'd like to hear more about how the proposed new integration of GenAI will affect my user experience at the UI. That will give me more context about whether this might be a thumbs-up or thumbs-down proposal.
iNat has been a truly life changing app for me that has allowed me to connect with the world around me in a way I didn’t know was possible. I know this is a big grant for you all, but if any information is generated by AI other than suggestions that are then confirmed by REAL PEOPLE, it risks destroying the integrity of a hugely important dataset. Why not just integrate links to applicable taxonomic keys that are not GENERATED by AI? AI is helpful for suggestions, not for creating anything of value, and it risks corrupting everything. Please rethink this.
Please do not do this.
Unfortunately I don't think that this will work for more tricky genre at all.
As a daily identifier myself, the AI that already exists can cause problems with ID, and if people have a "explanation" to back up an incorrect ID, it could be much trickier to correct.
In the field I identify, we occasionally have "outbreaks" where species get mistakenly ID'd en masse, which are an absolute pain to fix, and this AI could facilitate these outbreaks.
NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO
i think you as fellow scientists and naturalists are well aware of how bad AI is for the environment. Its upsetting that this being even considered.
I have some thoughts that will take a bit more time to formulate, but I want to note that this blog post is not displayed on the home page for people who use non-English versions of iNat. While there may be good reasons for not displaying all blog posts to all users, this seems like a fairly important announcement that should be visible to everyone.
Not read all the comments, but so many / most seem to be conflating issues ( or non-issues imo ) with LLMs and broader societal gripes which are irrelevant to this use-case ...and are just causing some sort of bias in their logic. It would be good to have this conversation on the forum instead where people can really debate points.
People concerned about information and sources from their comments being harvested seems particularly counter-productive and needless to me - if I harvested info and sources from your comments manually, would people be equally annoyed and threatening to erase all their IDs ?
Similarly people raising environmental cost concerns - I see nobody raising this already with regard to existing model training. The misinformation about LLM environmental costs is so widespread and largely misplaced...
Anyway, in general I think this sounds great to explore at least, provided users can feedback directly to fix incorrect summaries and sources as outlined in the post. I see no reason not to use generative AI for this - it may or may not be more or less effective / problematic than other options. I agree that a solely human wiki might be effective...but for example, if the wiki's were all generated by AI before going live on obs... then signed off by humans to activate...this could end up just a quicker way to consolidate existing information or even to scrape / analyse images to find differences which aren't even currently noted in keys. Overall, it really depends how it's implemented... but given the community concerns and the possibility for misinformation, it should obviously be done with due care.
@budsofstone Not all AI is the same. In fact the term AI has lost much of its true meaning with the tech boom of AI in recent years.
INaturalist has used an image matching "AI" (if you want to call it that) since 2017. This is what we know as the CV. (Computer Vision).
No. iNaturalist doesn't need this, and your users don't want this. Google's Generative AI is ecologically destructive and unethically sourced. Don't tie yourself to it.
Ecologically destructive? How so?
So many people here mentioning the environment seem to be just referencing Instagram clickbait posts ...the societal tropes around AI climate impact are wildly distorted at present.
This is a good takedown of the largely misplaced environmental concerns around LLMS :
https://andymasley.substack.com/p/individual-ai-use-is-not-bad-for
$1.5 million is barely the cost of web services for half a year. Stupid to do this for chump change. See for yourself from 2023: https://static.inaturalist.org/wiki_page_attachments/4009-original.pdf
Well I've just read every single comment (help) and I do believe that the backlash here may be slightly overblown.
I understand that as I write this people are already lighting the torches, but I believe that this is inherently a positive perspective with a perhaps questionable approach. Ensuring people understand why a species is being suggested to them? Great! Providing basis for ID so identifiers don't need to make 1000 comments every day? Great! Using a GenAI fed off of user information/images/comments? Terrible! Why? Because there is way too much misinformation here!
If there's some way to input taxonomic keys then I don't see as much of an issue (again, disregarding environmental concerns as that's a whole new game), but I know that when I started identifying I misled myself and a lot of people using ID characteristics that didn't exist. If an AI picked that up and decided to use it, it would cause a lot of problems very fast.
I support the idea of implementing a user-maintained wiki for having identification and other info easy to see to all people on the site, that perhaps could be tied to the taxon pages themselves.
There were already 'Guides' but the feature is no longer supported/being developed. It's not well integrated or well visible on the site either which is a big issue.
https://www.inaturalist.org/guides
Wikipedia wouldn't be great for this either, as it has a completely different purpose and writing style.
Please don't delete your iNat account yet. Wait until they respond to our pushback. If they decide to double down, then delete. Would be a complete waste if they decide tomorrow to cancel or severely limit gen AI.
@sbushes Just curious, are you familiar with who Andy Masley is and what the organization he represents does? It is deeply embedded with the AI tech crowd, to say the least.
At any rate, here is a detailed takedown of his article and why it is completely false: https://portal.mozz.us/gemini/gemlog.xgranade.com/2025/05/16.gmi?
This is horribly disappointing. Generative AI is inherently unreliable in all applications requiring processing actual facts about the world, because it has no way of connecting language to reality. It does not understand anything. It is not intelligent in any meaningful way. It can only parrot back words while oozing confidence like a con man, because that's what it was designed to do. Generative AI (as opposed to other more focused applications of machine learning like image recognition) is a PR stunt by tech companies that grew monstrously in recent years and is poisoning our shared information environment wherever it touches anything meaningful.
I don't want iNaturalist to help inflating this doomed and destructive bubble. I don't want my contributions to be processed by yet another desperate, dead-end attempt at finding use for a useless technology. I don't want to be encountering machine-extruded text on iNaturalist. Even knowing that you are thinking about this and don't see the thousand and one problems, that others are so eloquently expressing here, is souring my experience of being on this platform that I loved and that contributed so much to my life.
Please rethink this model. Use a community wiki or use a platform that keep you as data owners (there are several options to keep owning your own data while using ready made models, check databricks). About the money, crowd found it through this community
If you didn't already lose me at "Google", you definitely did at "AI".
If you insist on proceeding with this, I hope that:
Google took the thing they were known for (websearch) and made it bad. I've been telling friends for months not to rely on Google Lens for IDs because iNaturalist is so much more accurate, and that accuracy comes from a well-vetted dataset and an army of volunteers willing to help with corrections. Adding Google to iNaturalist may improve Google. It definitely won't improve iNaturalist. I want my sightings to benefit scientists, not megacorporations. I certainly won't spend more time reviewing sightings if Google is involved. They can pay for that labor if they want to use it.
Well well well, so what I am reading is:
We are giving up all of iNaturalist data for 1.5M over the next two years to train a LLM to recognize species based on our human-scientific curated dataset.
Well, at least it's not OpenAI, then we would be completely f*;'!$@#.
I will no longer contribute to iNaturalist if this tool is deployed. I will not be a witness and participant of nature destruction in pro of AI.
@danieavilao INaturalist has used a form of AI since 2017. That is the Computer Vision.
At this point I think staff also need to do a Q&A.
I know it is very difficult at such an emotionally charged time, but I implore people to please take a step back, take a mental break, and gather your thoughts before making any decisions you may regret later. I don't see any benefit to be gained from not waiting to see what staff hopefully have to see in the next day or two that will fingers crossed provide more clarity. All that's happening here is that people are stressing themselves and each other out more and more. I have never felt so stressed in my life than today, I have felt physically ill. But it isn't doing my mental health any good to be sitting here, reading these comments over and over, and the same would be true of everyone else. I don't think immediately deleting accounts without waiting for any further context or explanations is productive. Many of the comments here and on social media, eg BlueSky, are wildly speculative or outright completely wrong, and that is only serving to inflame the situation. Please hang in there and at least give staff the chance to explain, and give yourself the chance to react to and assess the situation with a much clearer head.
geothlypis philadelphia
Hey this sucks. Google has done away with their "don't be evil" slogan and is constantly killing their apps, I don't see any reason why they should "advise" the inat team for their genai bullshit. This just seems like you're trying to rationalize the grant and it fucking sucks. I hate this. You lost me at Google, you lost me at genai.
@thebeachcomber I agree. As upset as I am, I'm not going to be deleting anything until I am sure there is absolutely no other option. I hope others will do the same. With how the world is right now, it often feels like every worst-case scenario is inevitable, but it's important to remember that things can turn for the better, sometimes.
Very true, @thebeachcomber
Emotions are high amd it is understandable.
But @jonvalliere, let's please refrain from the harsh expletives. I'm happy to say i haven't seen any truly explict guideline violations (like people insulting one another), let's keep it this way.
Many of us are indeed stressed, the @thebeachcomber has a very good comment above about taking a break to let the situation settle and play out. We will likely hear more from staff at some point soon.
@thebeachcomber absolutely agree, no point deleting in the heat of the moment. Hope that you feel better soon mate.
@thebeachcomber
Yes, ironic that so many are reacting to the prospect of genAI involvement on iNaturalist by mimicking its worst attributes.
Adding GenAI to CV is a fast track to losing accuracy on your current model. Google's AI have really high hallucination rates.
With regards to the example you used, why can't iNat make user created ID guides more accessible? If the iNat team was concerned with the quality of GenAI content, I assume it'd use experts to verify the accuracy of its submissions. If this is the case I'm sure experts would rather contribute directly rather than proofread what is probably garbage, considering the dubious verifiability of LLM content at this stage.
Lastly none of us want Google to comb through our comments on other people's posts. I'm sure that's going to be part of training the model. Please don't do that.
How hilarious to suggest you protect users photos with copyright then just sell all of them to Google ai. I expected this obviously but I dared to hope you wouldn't sell all the inat users out like this.
It just sounds like : We'll let evil google is training all of user's data to feed unethical generative AI, and devaluing our devoted users and community to just simply put that unreliable generative AI feature. Fellow human nature lovers can and will do way more better. Huge shame, iNaturalist.👎
As a mega user of iNat from the under-resourced part of the world, I fully welcome this initiative, and look forward to seeing how it evolves. Even if it does have major faults it is a move in the right direction, and will be an improvement on what we have, even if it is imperfect for the next few years.
My request though is to please include subspecies and varieties into the AI. That the AII stops at the species rank does not help conserve and understand the huge biodiversity and biogeographical variation that exists below the species level.
@graysquirrel - yes, he responds to some of the personal attacks here as well as broader criticisms :
https://andymasley.substack.com/p/replies-to-criticisms-of-my-chatgpt
I can't access the link you posted, but to say it's "completely false" is clearly hyperbolic.
Like the Instagram posts and many comments here around AI impacts.
Would love to hear specific counterpoints which he hasn't already covered.
But the criticisms I've read seem weak and mathematically illiterate as he states.
As far as I can see he provides a clearly balanced argument for the pros and cons and realities of LLMs.
The MIT review published a quantified breakdown of LLM impact, which echoed many of his statements.
They conflated all generative AI together in some of their summaries though, and as Andy followed up with - their data showed that AI generative video is a more serious concern. AI generative text remains limited in impact compared to other actions we take.
https://andymasley.substack.com/p/reactions-to-mit-technology-reviews
More than anything though, it amazes me there are so many broad "anti-AI" sentiments here, given use of AI is at the core of iNaturalist as a platform.
I doubt text prompting with chatGPT is significantly more power intensive than using iNat's suggested IDs every time you log an observation here.
At the very least, processing the data behind all the images on iNat to train a model vs processing the data behind all the text on iNat to train a model is never going to be more power-intensive! Or well, I'd be deeply shocked if this were the case at least. Text data is tiny in comparison to image data.
All these blanket anti-AI statements seem to be ignoring existing usage of AI on the site which has been ongoing for many many years.
Or drawing a dividing line, stating that use of computer vision models as iNat do is inherently less power intensive than a generative text model. If anyone has any sort of data to back this up, would love to see it.
I would like to share my concerns about this, not re-iterating all the problems of AI that have been already stated. I acknowledge the positive things that can arise from AI, but this whole thing seems sketchy. Which data does Google get access to? Will it use the data to enrich its own models or do the data and algorithms stay strictly within the iNat infrastructure ? ( I suspect the former and I strongly disagree with that). Is it really necessary to use these technologies that are very bad for the environment? I know a lot of people that have already decided to leave the platform just based on the announcement, but I hope that you will at least go for an opt-in model so we can all reconsider leaving and deleting our observations.
iNaturalist could be the place where human collaboration, nature education and conversation thrives and advances with the thoughtful involvement of the newest technologies, and I appreciate that the iNat team is pushing to this direction. Reading the comments though, I'm sad to see that many of the reactions are based on emotional rejection and fear, rather than facts. Yet, I'm not judging. I'm on the platform to learn about nature.
Today I learned a lot about certain aspects of human nature (not in a judgmental way).
I wish all the world's wisdom to the iNat team to walk the fine along the conflicts between technological advancement and dealing with us, human users and all of our emotions. ❤️ 🌱
Yeah, this seems like a waste of time and developer energy that will cause more problems than it can ever solve. Setting aside my reservations about the emissions produced in the creation and use of such a feature, reliability and accuracy will be a major issue. The CV model is impressive, but it still makes frequent mistakes, both major and minor. This proposed feature seems like it will only supercharge the current issues with CV accuracy - if this feature is going to be trained on a dataset of existing observations, it will absolutely exacerbate CV misidentification. This is of particular concern when it comes to poisonous and venomous species where misidentification, and providing misleading identification instructions in particular, could cause real harm to users. On top of the risk of misinforming users, giving feedback to try to correct bad identification information will create an extra workload for staff and dedicated users. It sounds like a lot more trouble than it's worth.
There's pretty major community opposition to this proposal for many reasons, and I hope iNaturalist staff will take these concerns on board.
Large portions of the user base are vociferously opposed. Staff have a serious and expensive public relations problem. User donations will suffer. And all for $1.5M and the uncertain promise of better ID guidance that identifiers have not asked for? Even if generative AI was a wonderfully reliable tool, there were no environmental cost, etc. this is a bad tradeoff.
If iNat is seriously keep pushing this terrible idea despite almost every users are against this... It should be opt-in, not opt-out. if users want to feed their data into generative AI and use this feature, they could opt in.
There's so many negative impacts of generative AI, not just only energy consumption.
I hope iNat will not ignore the devoted community.
If you don't believe that Gen AI hallucinates, try identifying on Google Lens
On top of the comments I've already left in the forums, we need some transparency on what kind of data you're sending to Google as part of the deal. We also need to ensure that this is a program that users MUST opt-in by choice. Retroactively opting everything in and requiring users to opt out is a breach of consent.
When we signed up, we consented to iNat using our data to train your CV to help biodiversity mapping, we never consented to contributing more towards Google's database of stolen content. Just because Google has done it behind our backs anyway, doesn't mean we liked or agreed to it, we were just powerless to stop them.
Knowing iNat is going to enable Google's disregard of consent is heartbreaking to me, considering I'm a visual artist with author and musician friends who have already seen firsthand how their creations were stolen, butchered, and regurgitated into frankeinsteined Gen AI outputs without their consent.
As a power user with 11k observations and recurring donor, I'm genuinely upset by this vague announcement. I know you're probably still exploring your options at this stage but I hope you understand our concerns.
To echo some of the other comments, I am very concerned for multiple reasons - the environmental impact this will introduce to using iNat; the lack of reassurance regarding users’ consent to use their data with Google involved; and the breakdown of trust between the user base and iNat staff.
It truly is heartbreaking to see iNat move in this direction as many of us are keenly aware of the explotative, environmentally-destructive, and unreliable nature of genAI models. And all this for a feature that could be similarly achieved with the dedicated human user base you already have.
Please do not ignore what your community is saying.
Given the sheer amount of people here, many of which are experts their respective fields, who would be willing to contribute to something like a community wiki, I cannot see any reason why anyone at iNaturalist can defend this. LLMs, Gen AI, whatever name you wish to give it. They’re all very dubious in legality and not something many communities want to put up with. And with something like the identification of various forms of life, the fact that Gen AI hallucinates so much on top of everything else seems incredibly counterproductive to being “accurate.”
I’ve used iNaturalist for a few years now and I’ve been using it to try and document the various insects that are in my area. Being in a small town, it’s something that I love doing. It genuinely makes me happy to get out and look for what lives around me, and then taking part in something important like documenting what exists here. I don’t want this to take my faith away in this service because I do not want any of my pictures being fed into Google’s AI. It won’t help with accuracy. It will just make it harder for people like me to catalogue what they see. Will make it where people are reluctant to come here because they won’t know if they’ll actually be getting real information.
I can’t say I’m the most eloquent person here. I’m just a random artist who likes to take pictures of bugs. But my thoughts mirror a lot of the concerns that others here have. It would especially be nice to know what is being sent to Google in the first place. How do we know they won’t use this to gather images to feed into their image generator? How do we know the comments and research people post won’t be put into Gemini to spit out generated text? This just isn’t a trustworthy scenario and it doesn’t seem like it’s worth it in such a community driven environment in the first place.
It's been known for a while that large language models (LLMs) inevitably contain errors as part of how they work and this cannot be fixed away. There's even evidence that it gets worse as the LLM becomes more "advanced". I can see how this is very appealing because you get $1.5 million and that is a mind-boggling amount of money that will help you a lot, but it it a bad idea and I do not like it at all.
E.g. "Advanced AI suffers ‘complete accuracy collapse’ in face of complex problems, study finds" - The Guardian, 2 days ago: https://www.theguardian.com/technology/2025/jun/09/apple-artificial-intelligence-ai-study-collapse The study was by Apple, which I think says a lot.
Spotted on Bluesky today: [Generated by Google's LLM] "the word teamwork contains the letter I one time." https://bsky.app/profile/did:plc:i6misxex577k4q6o7gloen4s/post/3lrctzrvcck2k
Spotted on Mastodon today: [Generated by Google's LLM] "The letter "i" appears twice in the word "teamwork"." https://mastodon.cloud/@secretgeek/114661698786478146
Extremely disappointing, terrible news!
This is really, really disappointing.
I don’t want it either
Very disappointing. I know this is being done with good intentions, but I struggle to imagine how this will improve iNat. As others have pointed out, Gen AI is not remotely reliable.
I hope we get a clearer explanation soon.
Did iNat choose the grant or did Google give it to them bcoz it seems like Google gave it to them.
"Currently, iNaturalist’s computer vision model can distinguish these frogs, but we don’t do a good job of explaining how. " with two illustrations comparing a specific field mark.
Nope - this is not how image recognition works - we need to be clear on our understanding of AI - fuzziness only compounds the difficulty of making good decisions about how to use it.
Respect the intelligence of your audience - be specific about this grant to explore leveraging the user entered text content.
Generative AI is actively worsening climate change, which is in direct opposition to the conservation work many of us do here. Your choice to use it is an insult to the intelligence and very existence of iNat users.
Google destroys everything it touches.
Please do not use this unreliable feature.
Generative AI is unreliable and will result in untrustworthy and inaccurate conclusions. Didn’t Wikimedia Foundation do something just like this and it was a total flop wasting millions of dollars and losing users’ trust?
This is disappointing, and I echo the many concerns shared in this thread regarding lack of consent to share user data with Google, the likelihood of generating substantial misinformation in taxonomy and biodiversity via an LLM approach, and the overall losses to science as users delete their accounts over this change. (Can we even be assured that if we delete our accounts and observations, that will prevent our information from being used here, or will it nevertheless be retained on iNaturalist's end and used?)
I am an ecologist and an educator and have introduced many students to observing the natural world via iNaturalist. More recently, I have been able to use iNaturalist as an entry point to discuss both the possibilities and limitations of AI with students. For instance, once they see that iNaturalist can be very good at species ID, but in some circumstances gives nonsensical answers (e.g., if they upload a poor-quality photo, upload a photo of something rare for our area and get a common look-alike suggested, etc.), they are more open to the idea that LLMs might also give them answers that sound correct but ultimately are not factual. I have always emphasized the importance that iNaturalist is not just a computer vision model, but is also a network of people who can review, correct, and comment on identifications. I've taught students that it is important to verify the CV suggestions with other sources. LLM-generated explanations of why the CV suggestion is correct is more likely to create/reinforce misinformation than to serve any educational purpose.
I have, for the time being, cancelled my recurring donation to iNaturalist and will be re-evaluating the content of my fall courses, as well as ongoing student research that relied on the iNaturalist database.
This is hugely disappointing. Like the vast majority of users above, I do not want my observations or data to be used for this purpose.
Will the LLM be self-hosted on iNat's servers, or rely on a Gemini API?
There is already a lot of good feedback I agree with here. There are pros and cons to this project, but I believe there are many more cons.
User blazeclaw rightfully said
"I have seen long and vitriolic threads on bugguide where experts outright hate iNat because it feels too untrustworthy in the accuracy of its IDs from the CV and less knowledgeable users who are overconfident in their abillity to ID."
I work with insect taxonomists, and the best of them hate iNat for the reason stated. They prefer BugGuide to be more reliable for checking images of a species, since the iNat information is not as curated and reliable for research use (as pointed out by user tworm above).
Team iNat, your strength is your community of volunteers as many have said here already. Respectfully, this decision should be reconsidered. The same mission could be accomplished with a curated wiki of experts helping explain the difference in taxon. Perhaps if you perfected that, then you could implement a system to have the app/website refer users to the specific page and also include it in search results.
As so many users have pointed out before me, that would be a terrible decision - your big strength and USP is the outstanding amount of human voluntary work and input by your members, both scientists and dedicated amateurs, which both benefit from each other (expertise from scientists, data from amateurs) - and it works great!! Like for example in my case as an amphibian and reptile lover and amateur from Austria (Europe), it are the herpetological experts from the Natural History Museum in Vienna (Austria), which offer a low-treshold access to their expertise and help in case of difficult observations.
Not to mention the ethical and data protection concerns with Google...
So why changing something that's working absolutely great for years? If it's for the money, why not start a big crowdfunding project, you have so much dedicated users that love to sustain this platform, would be surprised if you would not overachieve your finance goal!
Make a human-editable wiki to collect and display identification guides like this. Generative AI flies in the face of the "Gestalt of human expertise" that naturalist used to allow
Environmental concerns: Not all algorithms are the same; inaturalist has not even mentioned what method they are implementing yet. While the Google and OpenAI scale models, yes, use a large amount of resources and energy, scale is an important factor to consider here. Like you can literally train a LLM on just your favorite book. The resources used here is nothing compared to Google's model, and I would assume on that same logic, inaturalist's model won't be at that scale too, whatever they use. You can use a slippery slope argument to argue that as more and more companies use AI then the environmental impact of the collective will be really bad, but one could also argue that as more people invest in AI tools, newer more efficient algorithms will be developed and would mitigate these consequences (just trying to add some positiveness here too).
Hallucinations: Will this implementation produce erroneous results, yes. As others have mentioned, the current visual suggestion model is an AI model as well and it produces errors too. People are not up in arms about the errors generated from that. In computer science, there is the idea of garbage in and garbage out. If the training data is good, the outputs are generally well-behaved. The hallucinations in large models is due to the terrible uncurated nature of their input data, and because these are general models which just predicts what words comes next and not actual knowledge. ChatGPT is bad at maths but a model trained only on maths is really good at maths but bad at language. Similarly, this model which would be trained on curated annotations should be great at annotations even if it might not be able to add 1 and 1. Also, someone linked an article about how Apple has shown the AI LLMs are bad at reasoning (because they failed at the Tower of Hanoi problem) and overhyped. I agree they are overhyped, but no one will ask the inaturalist text generator to perform the Tower of Hanoi problem.
We urgently need the complete text of all agreements entered into between iNat and Google.
We also need a full explanation of exactly which data are being exchanged and for which purposes.
I did not consent to and will never consent to my data or images being used without compensation by Google to train gen AI models, or for Google staff to use my data to learn how to train gen AI models.
iNaturalist needs to hit an immediate pause on interactions with Google and do a MUCH better job of explaining things AND getting the iNat community's buy-in before proceeding.
Why does this need generative AI slop?? I'm extremely disappointed that iNat is doing anything with generative AI.
Oh, so sad.. I've happily been an iNat. user for almost ten years, and while sometimes irritated by the AI ID gross mistakes when suggesting an ID, I DO NOT WANT Google involved, unless it is a Grant to use in ANY WAY (Such as promoting Curators doing more to explain IDs, etc. ..People-based, Community-based.) I echo many of the concerns voiced in the MANY comments preceding mine, one in particular:
"I'm not sure how a collaboration with Google (an organisation whose carbon footprint rose 48% in 5 years as a result of its expansion of data centres to service AI) aligns with the iNaturalist vision of "a world where everyone can understand and sustain biodiversity". Not to mention Google's removal of their pledge not to use AI for weapons, and the huge monopoly they have over search and advertising. I've removed Seek from my phone and replaced it with ObsIdentify, an EU based non-profit which isn't working with an organisation that has done more to damage the online experience than almost any other."
Posted by rgbartlett about 3 hours ago
It is COMMUNITY which makes iNaturalist attractive and USEFUL! Please, DO NOT do Google's bidding!
@humanbyweight said "And if scientists have to validate all these AI suggestions anyway, just LET US WRITE THEM FROM THE START!" –– this is a core thing!
People love writing stuff. We find it fun.
People don't love checking stuff en masse. We find it boring. Bot-generated content? Even worse.
Even if AI can do a good job, it will always be cold and heartless by definition. We want to see life in words and know they come from fellow humans.
One of the things I used to love about iNaturalist is that it still seemed to be a proper social network (other than a citizen science platform), centered on its actual human users and still relatively safe from enshittification and environmentally catastrophic fads. Of course I should have understood before, when I saw there was no way to make the app work properly without the Google Play Services localization on, and no version of the app on F-Droid. I guess I will stop using it and recommending it to everyone.
I recommend iNat to listeners all the time because it's curated by real humans, who share their knowledge and time to help educate others. In the 8+ years I've produced my animal podcast I've seen the degradation of search engines increase exponentially due to AI, but I didn't expect iNat to swallow the scam too. AI is NOT useful for this kind of task. Humans are. Not only are you about to destroy your own business, you'll be contributing to destroying the environment.
Copying my message from the iNat forum:
In August, my iNaturalist account will be 10 years old, and I've been around for many of the site's changes through the years. Even though I can see that many commenters here share my views on the matter, I still want to leave my two cents for what it's worth.
Personally, I am against the use of generative AI such as described above on iNaturalist. In short, despite many benefits it could have for the platform (the speed organisms could be identified would be useful for people not particularly invested in wildlife, but that begs the question why they'd be on iNat in the first place), it exacerbates and creates new problems for identifiers for no real reason other than "AI" being the latest new and catchy buzzword for investors such as Google to profit from in the short-term.
Many others above have commented on the environmental and ethical considerations that should be addressed before something like this is added to iNat, so I won't restate what they have said. Instead, I want to further comment on a point brought up by a few others (e.g. @blazeclaw), namely that there is an intrinsic difference between how the AI used for computer vision is utilized compared to the proposed model. CV is a tool that gives suggestions which can be overridden by either the observer (if you know already know the species you can enter its name when submitting observations) or by identifiers once they pass the 2/3rds benchmark. This system already has issues, namely in the often large amounts of time and effort it takes for multiple identifiers to review observations of particularly challenging groups. While some discussion about what this means for arthropod, plant, and fungi identifiers has occurred, this would also negatively impact identifiers for groups such as mammals and birds. For example, many of the smaller bats (e.g. Pipistrellus) can not be identified from pictures without audio verification of their vocalizations, which has not stopped CV from listing possible species from images alone. I primarily identify birds of prey, and I often have to correct CV identifications from (usually new) users even in well-iNatted regions such as in the eastern U.S. (the CV loves to identify Red-shouldered hawk as Cooper's hawk and vice versa, not even mentioning Sharp-shinned vs Cooper's hawk IDs). Gen AI descriptions would add more confidence to incorrect identifications that newer users would accept at face value. This would increase the amount of misidentifications on the site (and where iNat data is shared including GBIF, academic papers, and now Google) and the amount of time and effort needed to correct these misidentification (accounting for individual observations and maintaining the AI) for seemingly no real reason other than just to capitalize on the AI trend.
If iNat is now contractually obligated to follow through with adding this, I would strongly suggest having it as either an opt-in feature as mentioned above, or incorporating it into a separate app such as Seek. This would at least reduce the amount of incidental damage caused by the tool while still having it as an option for those who would benefit from it. Additionally, not only would I support the creation of a community wiki, but I would also volunteer time to contribute to ensure its information is up-to-date and correct. I hope that the iNat staff has considered this before the announcement, but I do agree that we should still wait for more information about how this system will work before deciding where to go next from here.
I would LOVE the "About" section to contain a discussion of the traits that can be used to distinguish each species. Then I could go back and take another look if there is uncertainty. This discussion of ID traits should be entered and updated by real people. AI can then use this to help, and highlight the points it used for the guess. I have spent most of the last year battling "AI" in QuickBooks. Accounting should be the perfect use case. But rather than base it's decisions on what I've done before, it often gives me crazy results. I can't trust it, so I have to review everything. Google is using you for PR hype. I expect this will create feedback loop errors by giving you incorrect results that will influence its next guess before it can be fixed by real taxonomists. If you do this, please test carefully and keep your original data intact somewhere.
This doesn´t seem like a nice path for I Naturalist. I feel that every app is in a rush to somehow get AI involved, but end up forgetting the core of the app itself.
Also, AI is not always exact, it confuses things, so what´s the point in an app like this.
And lastly, I think it takes away a bit of community around here.
There, al least, should be an OPT-OUT option.
While i am not as angry about this as most people seem to be (since i've got a list of other gripes about iNat over the last couple years which i won't delve into here)... i really am concerned with iNat getting closer to Google especially after how Google has acted this year on a lot of levels. I don't think they are an ethical organization and while i still do use some of their products i am trying to reduce Google in my life not increase it.
In terms of the resource cost of AI, i do think we need to compare it to the benefits (if there are any). Broadly, all actions including using iNat without AI does have some energy cost, and i don't think its a good path to lock yourself in your room with your lights and heat off at all times instead of living your life because of this. The biodiversity info of iNat is really important and i am really concerned that people deleting their accounts because of this factor lead to much greater harm around ecosphere collapse (my term for climate and ecosystem collapse together) than this AI would cause. It's a personal decision of course and i certainly understand doing it for political reasons, especially after that horrible Gulf thing Google did. So pointless and awful. But, if you're deleting biodiversity data to protest use of energy, it might not actually be a net win. There aren't exactly good alternatives to iNat.
Broadly, i'm concerned this site has lost its way. It used to be here to connect people with nature. Is doing this action and eliciting all this concern helping in that mission? Couldn't say, creating a more accessible taxonomic system or creating a better moderation system do much more to that goal than making more AI stuff? Unfortunately i suspect the bottom line is that AI gets iNat a 1.5 million dollar grant and accessible, broadly usable taxonomic schemes do not.
I hope the staff can address this more comprehensively and reveal exactly what is being shared with Google. Though i assume Google already scrapes anything on the site or anywhere else on the internet for AI... legally or not.
Why use a GenAI tool which hallucinates and is mostly inaccurate when you have an ARMY OF PEOPLE on the site who are much more accurate, don't cost a single penny, and do the EXACT SAME THING.
Hi, I'm not as prolific a user as many on here, but my humble claim to fame is that I am the top identifier of Bryobia (clover mites) and Tetranychidae (the spider mite family they belong to), and in the top 10 for common mite taxa like Erythraeidae, Balaustium, Trombidiidae, Allothrombium, Bdellidae, Anystidae, etc. These mites are so often confused and mislabelled (by both humans and the computer vision model) that it is practically impossible to keep up with the flood of misidentifications. I frequently find incorrect observations that are research-grade.
Complicating this is the fact that small arthropods like mites cannot usually be identified to species level without actually examining a specimen under a microscope, and therefore most photo observations should really be left at genus. This doesn't mesh well with the way iNaturalist works, which privileges species in both CV suggestions and the interface itself. This may work for mammals (~6500 species) or birds (~11,000 species), but it is not very good for taxa like mites (~50,000 species so far, with an estimated 1 million total).
Putting aside the significant ethical and environmental issues with Google and AI in general (which others can explain better than I): if you train AI on this, it will get even worse. If you trained it on truly accurately labelled images and correct text, it would still be unreliable, simply because generative AI is fundamentally not designed to produce output that corresponds to reality, it has no access to meaning, and when it is right it is simply by statistical chance. But if you train it on what we have, which is a great deal of dubiously labelled images and questionable explanations, the output will absolutely be complete hot garbage. This would be a step backwards for public "arthropod literacy" and the quality of the data in general.
As others have mentioned, BugGuide is vastly superior for this because each and every observation is categorized by knowledgeable humans, often leading experts on the taxa. There is no substitute for human learning. We should ultimately be trying to educate people, not computer models.
If you don't believe me (which you maybe shouldn't, I'm not an acarologist), ask actual experts like @michaelskvarla or @rayfisher.
An alternative that I think would be much better: developing simple, user-friendly dichotomous keys with photo examples and explanations in everyday English—kind of like what the Merlin app has. Currently there are very few mite keys publicly online and they are designed for experts looking at specimens under microscopes, not ordinary people out in the field. Even though you wouldn't be able to get as specific and the characters used might not pass muster with scientists, it would still be more reliable than computer vision, and it would introduce laypeople to the practice of using keys.
Finally: if you must do this, please give users a way to opt out.
Increased environmental harm, human exploitation, and data "theft" with decreased community interaction, scientific gravitas, and reliable results... no thanks.
This is disheartening. I can only hope that it "won't be as bad as we think," which isn't really a good outcome at all.
I joined iNat because I wanted to help PEOPLE. I wanted my appreciation of the natural world to actually benefit it, as a way of giving back all that I get from my fascination with plants and animals.
Besides the fact that I vehemently object to all forms of GenAI, as a writer, the idea that we would be better off not with synthesis, but generation (because let's call it what it is), is upsetting to say the least. The computer vision is understandable--it's a core function of iNaturalist. AI as a whole is not the same as GenAI. I don't deny that algorithms are an important part of our technological advancements, but GenAI is half-baked, ethically bankrupt, and environmentally damaging. How was this even an option?
I want ID tips from professionals and the passionate. I want to participate in a community of humans--I want to make my own mistakes and learn from them in a judgement-free zone, as I feel iNat represents in its current form. I'm sure most would agree that we are here on iNaturalist because we WANT to put in the work, and we value the connections we make with others. The day that we let GenAI do all of the things that makes us human is the day that we lose ourselves. I've never publicly expressed my opinions on this, but GenAI is creating a future where billionaires are the only people with any spare time, and they CERTAINLY won't use it on science, conservation, and the natural world.
I can see that I'm just one of the many voices here. Clearly, some of us can still see the value in trying.
Give us a way to OPT OUT
It seems like citizen science will just convert into citizens training AI slop. And it would just take a handful of users to use nightshade to upload and poison the training models - or will you make it illegal to use any such tools if someone doesn't want their data to be scrapped in the improvement of genAI. You get to make money, i mean grant, off the back of people who spend time adding data, IDing and sorting this data. Maybe you should instead look into paying users who put the work rather than help big corporation make more off the work of volunteers.
iNaturalist as a platform has meant the world to me. Its been the primary way I can document my connection to nature, and its the number one thing I point people to to learn more about the wonderful flora and fauna around them. But it wasnt the CV model or the massive database that kept me here, its the community. Ive met so many wonderful naturalists on here, and together we've made a difference. Now all of that is getting thrown away. This feature COULD be revolutionary, if its crowd-sourced. Gen AI is not only known for making things up, its destroying the very nature we are trying to document. Worst of all, stealing the work of our community to make slop tags goes against the spirit of citizen science. You are scientists, you KNOW (our should) that generative AI is destroying our world, and suffocating the human spirit. I hope that you change your mind and use that grant to support this wonderful community we've created instead of bowing down to AI
@dailyexpedition
see a confidence score
You can.
https://chromewebstore.google.com/detail/inaturalist-enhancement-s/hdnjehcihcpjphgbkagjobenejgldnah
I do not want this feature, and would rather delete my observations from the platform than to let them be used to train gen AI. This is a bad move. Do not implement this.
Do not want!!! This is a terrible idea.😭
I don’t want this and I don’t think you’ll find many of us that do, I would rather continue to connect to nature through people, not AI slop which is not accurate enough to rely on for anything, let alone something as important as ecological surveying. This will alienate a lot of your user base and I will be looking for alternatives if this happens.
I have donated money to this platform because I believe it’s important, but this has shaken my trust. I do not consent to this.
Google's generative AI is one of the systems that's been at the forefront of polluting the internet with slop, making it harder than ever to find real information or real images of real animals and you want to implement their system in iNaturalist?
The very system that is super-charging climate collapse?
It doesn't matter how much you think this will 'improve' your system, it will alieanate a massive part of your userbase, and destroy any trust and goodwill you have.
Generative AI is everything you should be opposing. - Climate destroying, slavery dependant and slop producing BS machine.
This is absolutely awful in every way imaginable.
We are not on this platform to train your LLM. Do not implement this.
This is awesome
This is a mistake.
Having a human community as the backbone of iNaturalist was a feature, not a bug.
The unintended consequences for all the data collected by individuals and shared as part of a community is problematic.
AI isn't the only approach to this community need, as you have well established up to this point
The question isn't over applying computer power to identification, the question is where do we draw the lines for roles, and where best do humans fit into that "proofing" process.
I wonder if there should be two options:
iNaturalist
&
aiNaturalist
and let folks choose with their feet?
Will users be able to opt out? If not, when will this take place and what are the steps to remove all our photos and data?
bugguide is rife with lack of data autonomy and throwing away of usable data because a curator thinks the photo is 'frass' (insect poop) and it is just deleted. I recognzie there are ways bugguide does certain things better than iNat, but turning iNat to bugguide would be as big of an issue for me personally as turning iNat into an AI dystopia.
I strongly oppose.
I have contributed over 90k identifications, including supporting identification comments especially for refining or disagreeing IDs. I have spent uncountable hours studying my taxa of interest, referencing literature and specimens, writing to the best of my ability accurate and well-sourced comments to support identification. I donated this effort in good faith to the people of the iNat community. I provided this effort to help others how they help me when I upload observations. I give it to give back for all I was able to learn scrutinizing observations, their comments, and referencing literature. It's a show of gratitude for the users taking their time to upload observation of my taxa of interest.
I do not and will never consent to these efforts being scraped to train an LLM. As I said, my participation was a good faith donation for the people of the community. Google is purchasing our donations here, but I am not selling to them. In the absence of a user-editable wiki (a la BugGuide), ID comments are the only way I can communicate identification information to users. We want a user-editable wiki. On there, we can manage a reference list, cite sources, and perhaps even embed particularly helpful observations.
I see users recommending a compromise wherein users/curators can edit or validate the genAI outputs to quality control: I still strongly oppose this. The iNaturalist users are already volunteering so much of their time. Why must we also volunteer more of it to polish the slop of a GenAI model? Why not give us the framework so this time can instead be spent collaborating on a wiki? We have journals, can these not be taggable by taxa?
I am disappointed and disgusted with this move. Please reconsider. There are so many other options (that the community has been asking for and is willing to volunteer for) which would produce higher value for iNaturalist than trading away volunteer labor for slop outputs.
I have concerns about the accuracy and hallucinatory aspects of gen AI.
If it offered an explanation as to how to tell two different species apart I would have to check in other places (guide books etc) to corroborate it and reach an ID, just like I'd do without the AI, unless the difference was very obvious, in which case I would have spotted it without the AI... untrustworthy suggestions are sometimes worse than no suggestions.
I think a wiki of tips about how to ID species made by the experts already on iNat would be far better. Also, I know that involvement in gen AI will make many people quit the platform, and could alienate some of the best IDers who have invested a lot of their time and experience in iNat.
Please don't do this.
I agree with most of the comments above and this feature worries me. I cannot conceive why iNaturalist would get AI-generated identification tips when it is still impossible to filter for observations with comments in order to find those that include identification tips from experienced identifiers. A user-edited wiki wherein contributions can be verified by curators or the whole community would make much more sense. Considering the small sets of RG observations of most species, AI-generated identification tips would probably be unreliable anyway! I mean, this AI didn't even notice that the frog on the left has a uniformly white underside whereas the one on the right has an additional brown band above its belly!
Please don't fall for the money iNat 🫤
iNat has four serious situations they refuse to deal with already: lousy useless photos; mis identified ID's, dupes and photos that look almost exactly the same adding nothing to the sp ID and now they want to create more chaos. Add to that are admins arbitrarily censoring posts or suspending people based on their own biases. Quite disgusting. And highly hypocritical not to menton in direct contradicton to their mission statement. When it takes an hour to scroll thru garbage to MAYBE find an ID that MAY be correct now add this XXXX to that and serious photogs and amateur entomologists are gonna look for alternatives. Question. Who came up with this idea? Was there a vote by the volunteers? I doubt it. And the four serious issues I mentioned are only going to get exponentially worse as the years go by. I spent an hour scrolling thru 1250 photos of a genus looking for an ID that had only 2 ID's the caterpilllar stage and the only known sp in that genus. 90% of the photos were of the cat. It was a total waste of my time. Why do you need 1000 photos of the same caterpillar? Answer: You don't and half of them were junk photos.
Another vote for wiki, this is one of the last good places on the internet. Let's keep it in the hands of the community.
If you go ahead, please allow users the chance to opt out.
I will immediately delete all my observations from the database if this is gone through with. Others have laid out the issues with genAI and google. You are ruining one of the best citizen science projects in existence with this decision.
This is incredibly disappointing to see. AI viewing something and suggesting an idea is generally ok. Many times we see this fail, and we understand that it simply does not know, in the same way we don't. Allowing AI to create new information to pose as fact is irresponsible at best. You might as well believe everything anyone says online. This is more likely than not, going to be a detriment to this community.
A user-edited wiki would be great, though. That would bring something useful to the community, and help make real scientific knowledge more accessible to the public.
I would much rather see money put toward trusted experts, especially as mounting evidence shows generative AI and LLMs such as the Google AI are currently operating in ways that are environmentally destructive, which seems antithetical to iNaturalist's entire purpose. Besides that, living with someone who works in tech and sees this type of technology up close, it ultimately makes things worse than real human input and will likely lead to MORE misidentifications, not less. There is a place in starting-point IDs for closed-database systems (which is what I had assumed iNat has been using up to now) as long as the people using them understand their limitations, but I agree with those saying I also do NOT want Google's AI being allowed to touch my photos. Google has been notorious for bad policy and I can't help but see this as anything but a mistake.
Don't do this. Google has done nothing to earn the trust of this (or any) community, will erode the community and the integrity of the app. It has no stake in this project and has no interest in seeing it thrive. Google's goal is simply to push its products everywhere and collect data on users. If they suddenly decide to monetize their platform built on inat (as they have done with other apps in the past) then the community loses out on everything we have given them for free.
There's nothing I can say about this that hasn't already been said by dozens of smarter people but voicing my disappointment regardless. My only (small) consolation is that decisions like this are usually made by very small groups of people, and most of iNat's staff is probably as upset as me by this idea and by the potential loss of data from users deleting their accounts in protest.
I believe iNaturalist should not take this direction.
A lot has already been said on the environmental impacts of generative AI, unethical data mining by large corporations, the potential inaccuracies of these kinds of system, and the possible human-focused alternatives. There's no need for me to expound upon this, I just want to add my voice in condemnation of this handover of identification expertise to a generative AI system.
In addition to being an iNaturalist fanatic (and monthly contributor for the past 5 years), I am a biodiversity researcher who uses iNaturalist and other machine-learning tools for work, including custom-built systems for making biodiversity monitoring more scalable and accessible to non-experts. I am not against AI. The iNaturalist computer vision and human expert validation system is one that I constantly use as an example of how AI should be used. However, I believe that we should not aim for AI to replace experts, but to empower them to share their expertise with non-experts. In this context, what I mean by 'experts' is well-informed identifiers, not necessarily just scientists, and acknowledging that not everyone adding identifications really knows what they're doing.
Generative AI is fundamentally different. I see the computer vision model as a tool. The addition of a generative AI will not be adding a new tool, so much as adding a different kind of 'expert'. I predict that non-experts on iNaturalist who are just starting out identifying things will naturally gravitate towards learning from the generative AI model, rather than from real human experts. This is a dangerous feedback loop to create, as AI-trained 'experts' will then feed the model, rather than human experts. Let's keep the iNaturalist community a community of humans.
are you kidding me?
to reiterate many other comments, why not implement a user-contributed wiki as has been asked for by identifiers for years?
As a mega user of iNat from the under-resourced part of the world, I fully welcome this initiative, and look forward to seeing how it evolves - from Tony Rebelo, who is in South Africa with me.
For Africa, its observers and identifiers I will wait and see. It could be helpful, and we mostly don't have access to 'taxonomy and original descriptions behind a paywall in academia'.
Deleted accounts piling up a fresh behemoth of Needs ID - that is daunting.
Came here to say that I'm also strongly against this. I'd also much prefer a page for id tips made by people. I've seen a sentiment that human effort wouldn't be enough to write an Identification wiki, but I don't think so. Not only would many like to contribute, but probably for every couple misidentifications corrected, identifiers would likely go add to the id tips page in hopes of improving it. The request for an editable Id guide page has been made on the forum 5 years ago, if it were implemented, this new GenAI feature would be near completely redundant by now. Another argument I've seen is that humans working on compiling the tips would take more energy/resources than an LLM, but humans are an integral part of the site already, and the energy/resources will still be spent trying to correct all the mistakes made by this AI. We have enough issues with the CV already. In conclusion, it's other people's Ids and guidance that helped me appreciate the complexities of nature and identifying, it's the community of people that makes this place truly special.
Commenting to echo the concerns of others. Generative AI is unreliable and spreads inaccurate information. A user-contributed wiki seems like a much better investment.
I won't go into too much detail because so many others have already expressed the same privacy, accuracy, and community trust-related concerns, but I'm very worried about this decision. I agree with @edanko that there may be some interesting or new insights that come out of this, but I can't imagine that it will be a common occurrence or justify the inevitable amount of incorrect information that will be put out there. That said, I'll try my best to keep an open mind.
Assuming the iNat team decides to go through with this, what I ask and can hope for is for the LLM-generated text to not be public by default. If this info would be on the taxon pages, please have a human-made wiki alongside a (curator-approved) LLM blurb, or at least make the LLM text editable by curators.
If the LLM text will show up in the CV suggestions, please have that be an opt-in setting.
Whatever decision iNat staff makes, I hope it doesn't destroy the wonderful community we have here.
I do not need to reiterate any of the criticisms already stated by others. My personal take on this—the CV is already terrible for a great many taxa—just look at earthworms, where there are tens of thousands of misidentified photos as “Lumbricus terrestris” which makes iNaturalist useless for most oligochaete records. This feature can only make that situation even worse. Add on all the experts who won’t be using inat because of AI, and suddenly we have a website that churns out misinformation by the bucketload.
Why not just have user-written comments that pop up the exact same way as these potentially pointless AI comments? I would welcome that feature, since it would be an extremely useful way to give disclaimers such as “The CV cannot identify species of [Taxon]” or “There are undescribed species in this genus; see these observations” or “Species A and Species B are only identifiable from photos of the underside”. Carefully worded statements written by experts (who can, unlike an AI, then be contacted for specific questions!) could bring much good to iNaturalist.
The post says it, actually—iNaturalist’s great strength definitely is its network of volunteer identifiers and experts, and while there will never be enough of those, they cannot be replaced by generative AI.
Adding a comment since I think the size of the community response (# of comments here) is important
I've been a monthly donor since 2020, and I just put my donation on pause pending how this turns out. Lost donations are definitely something I hope the iNat team considers... Although donors shouldn't necessarily be able to dictate how an organization runs, it is also our prerogative to not give if they feel like the organization doesn't align with their values. Besides donating (an admittedly small amount), I am also an ecologist who uses iNaturalist data in my research, have contributed thousands of observations and IDs, including many in an obscure group of insects very few others identify. I have spent many years spreading the good word about iNaturalist, including in my PhD exit seminar this week (yay, PhDone)!, where I mentioned it as one of the top ways people can help conservation. I love this site and this community. And so do so many others, which is why the responses are so passionate. In this era of corporate oligarchy, organizations that you can really trust are honestly so rare. So, huge credit to the iNaturalist team for their stewardship which has made iNaturalist so successful so far.
I agree with pretty much all the ethical objections to this; facilitating Google's greenwashing (shout out to the de-google movement), the environmental impact, etc. See above for many more. But even if you think all those concerns are wrong, this is such a powerful community backlash, that it should not be dismissed as business as usual. Although the response has been overwhelmingly negative here, I imagine there will be people who staff interact with who think this reaction is overblown, they'll get used to it, etc. I hope the iNat team will listen to the people in the community. Part of this could mean surveying the community on genAI use, although I think this response is more than enough to make an informed decision. I've seen a few comments (not that many though, really) that are dismissive of people's concerns, calling it "knee-jerk," "misinformation," "naive," etc. This strong negative reaction is in part because people in the community don't feel like they agreed to this. And that leads to yes, an emotional response, myself included. And there's nothing wrong with that. If this community and movement is going to grow, we should try to understand the response instead of being dismissive.
Even if ethics and community are left aside (they shouldn't be), it also just... isn't a great solution for this problem. The stated goal of this is to synthesize ID information. Why not just implement one of the many possible solutions proposed by the community for years, and implemented with great success on other sites? I've never really understood the resistance to a taxon page wiki system where ID information can live, but if that's not an option, why not an upvote system for comments/IDs based on ID helpfulness. It is extremely scalable, doesn't erode community trust, and doesn't erode identifier incentives. Other, highly-upvoted proposals can be found on the forum.
All of these potential solutions have the great benefit of making ID information more findable, which reduces the burden on identifiers by deputizing new identifiers with reliable information. I expect the genAI explanations to be unreliable, or at least will be perceived that way, and will also discourage identifiers from contributing, leading to worse identification rates. iNaturalist already has credibility issues and an identification gap (many observations never get outside identifications), in large part because there already aren't enough incentives for identifiers as is. GenAI could further erode those incentives. A big reason identifiers ID at all is because it is outreach, a direct connection to the community, and ultimately, the natural world we love. Personally, I would have less incentive to identify if I knew my comments -- communicated to real people -- were going to be scraped and fed into a model, accurate or not. It just feels so impersonal. If other, more important/prolific identifiers feel the same way and start to leave, the site loses so much of its usefulness. Maybe they don't feel that way (although I have a guess based on this reaction), but I don't think the iNaturalist team knows, and that's important information to have before implementing something like this.
sorry, long comment continued below, lol
I assume this response wasn't anticipated by iNaturalist staff -- why not? In the end, this is a relatively small grant with, in my opinion, the likeliest outcome (if iNat continues with it) being a tool that is tried out but ultimately rolled back because it doesn't work very well. But my biggest concern is that there are steps leading up to this where the community's sentiment on this topic wasn't really considered, or was at least misjudged. As another user said, this is a serious and controversial topic, which should be treated with similar sensitivity as something like introducing ads. I think iNaturalist has recently done a good job surveying its community, just not on this yet, so I'm hopeful about the resolution. When organizations start to consistently disregard community sentiment, it is a death-knell for the community. So I think this is a great opportunity to course-correct. It's not worth burning good will and trust of the community (not to mention donations, observations, and IDs) over a relatively small amount of money that has no guarantee of leading to a useful outcome anyway.
In the spirit of trying to be constructive, here are a few things that might help:
I've made my feelings known in the forums, so I'm going to just pop in here and comment that the things others have said about humans being more energy-intensive/environmentally destructive is genuinely upsetting to see. People are more than numbers on a graph. To see people, with all of their experiences and passions, reduced to nothing but wiki-typing automatons in an argument in support of an actual machine is genuinely gross. Sure, the raw data might show that an LLM might be more carbon-friendly than 100 iNaturalist curators, but to disregard the lives those 100 people have beyond contributing to an iNat wiki is just, sad.
Most of my concerns have been expressed by others, but chiming in to add that I have serious reservations about this. Even suspending the potential ethics/privacy concerns for a moment, this could severely damage the credibility of iNat as a scientific resource. The people are what makes iNat special. I have been a monthly supporter since 2020, but this has me reconsidering that support.
Absolutely DESPICABLE. The last good thing I had. Bye, Inaturalist! I’ll be deleting my account. And recommending others do the same.
How do we opt out?
Hmmm. I suppose if the LLM is trained solely by a user-created (and peer-reviewed) wiki of identification advice, acting in the same way as a chat bot to display the right data at the right time, and none of this data leaves iNat (at least without the user's express consent), then this could be useful.
If it's just making up the usual hit-and-miss Gen AI from open source content, and has the usual LLM failure of making stuff up rather than saying "I don't have enough information", then that will result in some hallucinatory nonsense that could jeopardise iNat's usefulness as a learning tool. That would be a hard no from me.
iNat's power is its amazing community, which isn't utilised anywhere near where it should be. I feel that a large scale ID insights project would be exciting to a vast swathe of your community who would gladly give their time and expertise for free. That should be the focus, with any AI elements reduced to how that information is surfaced to users.
I am heartbroken to hear that iNaturalist is partnering with Google and their AI. I agree with all of the ethical and environmental concerns mentioned in all the comments above. Machine learning is great for science - but Generative AI is a whole different ball of garbage.
I work with teachers and promote iNat and Seek to them as a way to engage students in thinking about observing and quantifying the world around them. I likely won't be doing that going forward, because I don't want to reinforce the idea that Generative AI is legit.
Heavens: far too much here -
I asked Gemini AI for a summary and it says that iNat wont allow it to access the comments. A pity - I would love to see what it would have summarized it to.
Don't mess with perfection - iNat is great as is.
@graham_montgomery I'm sure iNaturalist did not expect this negative response because they have used "AI" before for features like Computer Vision, and the text search using AI to match observations with similar photos. They also announced this a year ago, and while some people thought more AI was not necessarily positive, it never had the backlash at the time.
While I also respect people have concerns about how more AI will be environmentally unfriendly, I don't think any of us have the knowledge to justify this besides a general fear. No one seems concerned how much impact iNaturalist already has environmentally, with its servers and existing features like CV. How much, or how much more impact would this new build add? I think it's a little disingenuous to say it'll "double" or "triple" iNat's harm to the environment. Personally think it will not add much, especially compared to the rising server needs the site develops over time. But I simply ask that people consider what we know versus what we are afraid of.
The leading terms of "more AI" and "Google" have charged this discussion in a much more negative way than I thinkwas needed. Google only has its name on the grant, they are not having any control over iNat. Computer Vision already puts AI in iNaturalist, so I don't know why we've suddenly crossed into "bad AI territory" from this and not previously.
Granted, I think this is a tenuous project that will probably not be very useful for anyone in the long run. However they did specify that the generated notes will be vetted, so this should prevent the other fear of incorrect notes.
Want to "improve species suggestions"? Keep the status quo. Or better yet, use the grant money to add the user wiki people have been asking for.
Companies have been adding Generative AI to their interfaces prematurely and haphazardly for the past few years and I've yet to see any mainstream platform where this has been well-received. This is anecdotal, but almost any instance I've seen of people actively speaking out in support of Generative AI integration has been at least one of the following:
(1) People with limited grasp of technology, who essentially view GenAI as magic (presumably not the main userbase for an online platform like iNat)
(2) People who are highly business-oriented (isn't iNat a nonprofit?)
(3) People with socially conservative political leanings (iNat is predominantly American, and the political right in the US currently tends towards anti-intellectualism and conspiracy theories, so unlikely to make up a large portion of the userbase on a citizen science website)
So why on earth would this be a good idea? Why would it benefit people on here?
There's so many ways to make iNat more technologically advanced without making rash decisions to piggyback on a halfbaked fad like Generative AI (I echo some other users here in comparing it to NFTs or cryptocurrency, though I would add that at least cryptocurrency often does what it's supposed to even if it's objectionable for other reasons). Maybe you could aggregate comment threads on existing observations of certain species – aggregate only, not synthesize. As in, going to a taxon page would show not just About, Taxonomy, Map, Similar Species, but also a new tab with a paginated list of comment threads (with usernames and timestamps included) discussing identification of that species. Maybe even having this be built into the Similar Species tab. There could probably be an AI use case here still, in the form of filtering out threads where the only comments say things like "Great photo!" with no identification discussion involved.
I have enough interest in tech to not harbour some kind of blanket hatred for all AI. But I'm already somewhat bearish on Computer Vision in its current state (Dargida procinctus. Don't make me tap the sign.), and outright hawkish on Generative AI considering its ineffectiveness at reliably doing anything other than writing code or corporate emails. I do believe that GenAI will have potential someday, but it's really just not there yet, and it's disappointing how much it's being rushed out everywhere without any regard for users. There's no reason to jump headfirst into GenAI right now the way that every big tech corporation has already been doing. I really don't think having a system that provides poor-quality or outright misleading identification information is worth alienating many of your most active users.
In the absence of actually listening to community input, hopefully it won't have to come to this, but with iNat being open-source...I don't have the technical skills myself, but from what I've seen from this community so far, I do have faith that someone will set up a competing website minus the GenAI if need be. (Worst case scenario).
I can't believe I have to be this crass, but ignore the AI-haters. These people obviously didn't read a word of your post or Google's, have no idea how this works, and are just doing a typical Twitter knee-jerk reaction to the word "AI" and trying to "cancel" you. I really expected better of such a scientific, mission-focused community, but here we are screaming on the internet like children.
If people are willing to pull their contributions in objection to AI explaining its reasoning (instead of not explaining its reasoning like it does now? lol), then they were never serious about this project, science, or nature.
As a user of nearly ten years, a monthly contributor for three, and as an artist whose career has been taken out back and shot by generative AI, the decision to tie iNat in with Google's systems in this way (generating identification cues) has honestly broken my heart. I'm glad that so many are making their opinions known.
@dianastuder re: "For Africa, its observers and identifiers I will wait and see. It could be helpful, and we mostly don't have access to 'taxonomy and original descriptions behind a paywall in academia'. "
Plazi.org may be of interest to you.
I feel that the discussion has become emotionally charged.
Let the grant be spent on looking at some tools. Should the tools not work, produce unacceptable results, or turn out to be substandard, we can drop it.
But give the technology a chance. 30 years ago we did not have internet, smart camaras and iNaturalist. Who knows: AI ++ may just deliver tools that specialist taxonomists (and I am one) will find indispensable. Imagine if sentiments had killed iNaturalist in 2010: "how on earth can laymen contribute to science and conservation: what an absurd notion! It will be useless: inadequate photos, wrong identifications, a confusing mess interfering with science and taxonomy."
Please, I am begging you not to do this. The joy and beauty of iNaturalist is the crowd-sourced energy of real, actual humans. And the irony of a website about cataloging the natural world partnering with a technology that is actively destroying the natural world is devastating.
Half the pro-genAI statements here seem to be going "um... did you guys know that iNat already uses an AI for its photo identification feature? 😏" I think most of us very well understand that they're incredibly different types of AI. We do not want this incoming generative AI. I'm adding my voice to the list of scientists and educators here as an incoming entomology PhD student to say I strongly oppose using genAI to summarize user comments to produce identifying characters for taxa.
Sure, this might work for something as distinct and common as an American robin. Many species, especially local favorites, are charismatic enough to have genAI probably write an accurate description for them. But the vast majority of species cannot be identified with the naked eye, let alone with even a few photographs, and such organisms are misidentified often on iNaturalist. A lot of people have been demonstrating that LLMs are reaching near human levels of accuracy, but much of iNaturalist's community is understandably not that accurate or completely lacks the ability to even guess when it comes to very small and/or indistinct species like invertebrates, plants, and fungi. An LLM trained on iNaturalist comments would not fare much better on these species, if there's even a bank of comments for those species to pull from. There doesn't seem to be a point of adding genAI if it's going to keep making the same mistakes or have the same knowledge gaps as the data it's trained on.
Furthermore, professional species descriptions that exist for many indistinct organisms are 1. barely available on the wider internet and 2. written in incredibly arcane language that even some scientists have a hard time parsing. Some terms even mean different things for different organisms. Especially for point 2, I doubt a LLM would be able to regurgitate such information accurately, let alone properly summarize it into common terms. Oftentimes, such species descriptions have no choice but to use extremely specialized jargon. It's the nature of taxonomy. We are dividing species by literal hairs sometimes.
Instead of focusing efforts to futilely ID such organisms to species, we should save writing these explanations for broader, more easily-identifiable taxa. Even obscure species would get some label, and researchers who know those groups may even be able to use those observations from there. I completely understand that writing a concise, accurate, and accessible description for every species is impossible. It would be near impossible even with automation. Both genAI and humans would need fact-checking when writing these. So why not just stick with humans, who can definitely feasibly write descriptions for the much fewer broader taxa out there? The species that genAI could easily write for could also be easily and quickly written by people! There's over 1 million species of insects, but probably only a few thousand or less insect families. I implore iNaturalist to keep encouraging community participation by hiring experts or organizing trusted and knowledgeable volunteers to write the descriptions for these broader taxa.
Please do not go through with this. I understand there is a need for keys and tips for accurately IDing. There is extremely limited accurate information for IDing most species online, and a huge disparity between the amount of data on common/charismatic species compared to everything else. I do not believe that generative AI will be able to find accurate information for identifying most species, especially those that are understudied, and that combined with hallucinations would probably lead to a spread of misinformation and an epidemic of people confidently giving incorrect IDs. I do not think it will be as bad as people are making it sound like, but putting authority behind something as fallible as AI for an application as difficult as species identification will likely do more harm than good.
As for why so many people are so aggressively opposing this change, I have some guesses. One of the great things about iNat is the humanity of the site. It is a great community, and one of the few remaining safe places online for many people. Opening the door to one of the actors (generative AI) that has been perceived to have ruined the rest of the internet is putting iNat on the opposite side of an emotionally charged political issue than most of its dedicated user base. That makes this a bad move socially as well.
That is not to say that I am against the current computer vision software that iNat uses (which is completely different to generative AI). I think that is great and very accurate for 95% of the observations I make. It has been an established part of the site for long enough that people know to use it as a starting guess and not the definitive truth.
A human editable wiki would be an amazing alternative, especially if it requires citing sources. I'm sure there are enough people invested enough in the site who would be willing to double check wiki edits before they are published to ensure accurate information. It would be far easier to accurately ID other people's observations if I could reference a trustworthy wiki instead of digging through research papers and bugGuide post comments to try and track down the wisdom of the one expert in the world who knows the key for IDing a species.
Again, please do not do this, Google is a for-profit company, they are doing this to extract value from iNat in some way, please do not get taken advantage of!
If iNat goes through with this change, I won't stop contributing my time to iNat or delete my account over this, but I won't be so eager to recommend it to everyone I meet.
@peaceblaster
Keep at it, the more that people who do support this decision continue to insult and invalidate the concerns and feelings of those against it, the worse your side looks. You're seriously telling everybody here that we were "never serious about this project, science, or nature"? I'm certain most who have threatened to leave are only doing so because they wholeheartedly believe that this change runs completely counter to the mission of this project. Passionate iNaturalist users from around the world have been trying for years to implement something like this but made through the work of human hands and collaboration, and to see all of that dedication and effort being dismissed as a "knee-jerk reaction" is frankly insulting. The hostility being shown to the people who feel rightfully betrayed and ignored by this announcement isn't going to save iNaturalist, I can tell you that much.
I've read every comment here and on the forum which includes some good and convincing arguments all round. I don't have the technical knowledge to follow many of the comments but it is clear that for many of us there is a deep mistrust with AI and forging closer links with mega-corporations.
Now, some of this mistrust may be unfounded but without advance community consultation I think such a negative reaction should have been predicted given the poor reputations of AI and Google.
I'm certainly not ready to delete my account and see thousands of hours of painstaking, loving work disappear into the ether. But I'm going to step back for a few days and see what happens.
For what it's worth, I'm concerned about what Google gets out of this, I'm concerned about the environmental cost of genAI and I'm concerned about the loss of community and data if users leave the site. Maybe there's no need to be...but I am and it seems a lot of other users feel the same. I'm hoping for clear communication from iNat that addresses the concerns raised by users, either to explain why the concerns are not as bad as many people seem to think they are and the safeguards that are in place to secure the programme as a net positive. Or to reverse the decision and explore other, community-driven avenues that will continue to improve this wonderful site for all.
I love this site, I love this community, I'm going to step back and see what happens.
@pythakorean It is only being applied to species that are "in" the CV, and have justifiable use for the added "remarks". They are also manually vetting them for accuracy before they are released. I have been reading paragraphs of people explaining why this will fail on obscure species or those that you can't identify from photos. It clearly will. But as far as I see this isn't going to be a problem because of the prior requirements. Little to no efforts are being used to futilely ID such organisms (aside from those that shouldn't be in CV, but that's a separate issue entirely).
It also isn't going to scan the internet for species descriptions. The project, and when it was proposed a year ago, outlines that it is using existing CV training to produce "text explanations" of how it selects certain options. It is not going to make anyone redundant, because the whole CV as it stands is a continual collaboration among everyone. If anything, this may be an improvement because it will be bringing ID commentary across observations to a more accessible location.
Personally I see many occasions where identifiers din't leave comments or explain IDs, and so I then comb through every observation or spend time online trying to understand. Sometimes I can't figure it out. I think this situation could help solve some of these issues. Knowledge to identify species should be available for all. This will not be a perfect solution, but it will be a start.
The biggest flaws of this project are, I still argue, the same as CV at present, which are people who blindly agree with suggestions given to them. That's going to happen, as it always has, and while it might theoretically increase the instances of this, at the end of the day we should be encouraging users to do their due diligence either way.
PS. and yes, while they are "different" kinds of AI, the overall system is still part of CV and so that's why I group it like that.
Why the heck would you adopt a technology that will burn/boil into oblivion all of the species you and your users are trying to find, identify, enjoy, and celebrate?
Sort yourselves out.
Please don't partner with Google AI!!! Aside from how incorrect it can be, the horrendous environmental impact of AI data centers is completely antithetical to iNaturalist's purpose. NO AI!!!
To collaborate with Google on tools such as these is a slap in the face to much of the userbase, including a multitude of biological experts and conservationists across the globe.
They claim that they will work hard to make sure that the identification information provided by the AI tools is of the highest quality, which I do not entirely doubt from this team. I would hope that there is a thorough vetting process in place for this information (Though, if you need people to vet the information, what's the point of the generative AI over a simple wiki of identification criteria). Nonetheless, if you've seen Google's (or any other tech company's) work in this field in the past, which you likely have, you will know that these tools are not ready to explain the nuances of species identification, as they continue to provide heavy amounts of complete misinformation on a daily basis. Users may be able to provide feedback, but should a casual user look to the AI for an explanation, many would not realize if what they are being told is wrong.
Furthermore, while the data is not entirely my concern, as the service has been using our data for years to train its 'computer vision' model into what it is today, and they claim to have ways to credit people in place, it does make it quite concerning that Google is involved in this deal. I can't say for certain that they will do anything more with the data given, but Google has proven time and again to be highly untrustworthy as a company.
Though, that is something I'm less concerned by than I am by the fact that a non-profit so dedicated to the biodiversity of the earth and the naturalists on it would even dare lock in a deal of this nature. Not only making a deal to create yet another shoehorned misinformation machine, that which has been proven to use more unclean energy and water (among other things) than it's worth for each unsatisfactory and untrustworthy search answer, but doing so with one of the greediest companies on the face of the earth, a beacon of smog shining in colors antithetical to the iNaturalist mission statement. It's a disgrace.
In conclusion, I want to believe in the good of iNaturalist. The point stands, though, that to do this is a step in the worst possible direction. Especially when they, for all intents and purposes, already had a system that works! With their 'computer vision' model providing basic suggestions (if not always accurate in and of itself), and user suggested IDs providing further details and corrections where needed.
Yeah, no. The failure modes for this are bad (can you imagine people repeating bad mushroom ID rules once they read them?), and I'm not loving either "genAI slop now being part of iNat" or "iNat providing training data for genAI".
I used to trust inaturalist as a project pretty implicitly (knowing the computer vision engine itself isn't perfect--still a great tool). This feels like stepping off a cliff.
Can we opt out? Or are we stuck deciding whether to delete our accounts / thousands of uploads if we don't want your LLM garbage?
@ennenine
Even if this particular use case isn't environmentally costly, the very idea of well-known nature platform iNaturalist joining a generative AI program will undoubtedly make even more of the public think "oh ok, then it can't be that bad for the environment, right?". Call this speculative fearmongering or whatnot, but I don't think it's a risk that needs to be taken. Even just the current backlash is big enough to where the admins absolutely know they have to do something to save this situation, and it's going to take something drastic to even start to undo the damage. I hope they do, because like many others I love this website and what it is supposed to stand for. There is nothing else on earth like it. Many of us don't want to see another thing we hold so dear getting slowly worsened by the endless need to extract value from everything in existence.
This is a terrible decision, your focus is clearly on short-term profits and not conservation and I don't know if I can continue using this app in good conscience if you follow through with this decision. At the very least give us the option to opt-out of gen AI data collection and gen AI-related features. You've alienated your user base with this decision, we're all so tired of AI being forced down our throats like a bunch of ducks being force fed to produce foie gras .
Damn. So much for iNaturalist. Sigh.
It's been a very long time since I've seen such agreement about a topic from such a wide variety of people. Mistaken or not, for better or worse, I think iNat should side with what appears to be the overwhelming majority of users and rethink this idea. Any benefit to the ID process provided by genAI would be vastly outweighed by the harm that it would cause to the community as mentioned by so many above. The voice of the people says that they would very much rather have ID tips on the species page.
@spidercat we are already there - https://plazi.org/posts/2023/05/training-s-african-scientists/
The issue is lots of taxa, few taxonomists, most types in Europe, Rand is worth 1 20th of a $ or £, political priorities do no include science, past taxonomy is biased to dissected dry specimens (not so useful in photographs).
Any tools that allow the few specialists to do lots of work are most welcome.
A concern I have is how exactly groups with many similar species (that can pretty accurately by identified by the CV model) are going to be approached. Sometimes there are dozens of possibilities, and without already knowing how to separate them, only a wall of complicated text can allow the average person to accurately diagnose their specimen. Personally, I do not trust in AI to accurately generate information on obscure, but common species, that only a select few humans know how to identify. I have spent a lot of time identifying obscure beetles on here, and would gladly write about their differences on species pages if I could, I believe a user curated wiki is the best move. Adding AI generated ID remarks to CV suggestions (or similar) seems near pointless in my opinion. It is such an easy way to spread false ID tips, and if remarks are going to be reviewed or rated by curators (or normal users) already, why not just have these curators write their own remarks? Also, I like the CV because not only is it convenient, but it provides no explanation, which in my opinion creates a level of distrust in its suggestions, which I believe to be good, as (hopefully) the average user understands that it may be mistaken. If this AI feature will be implemented, I would at least want it to not provide information when it is uncertain, similarly to the CV.
@neontetraploid please actually read both the original post and the comment you're replying to before @'ing me like that.
Yes, if you're willing to delete your data because you don't like the word "AI", then you are saying "my personal hangups are more important than science", and that's pretty much unassailable. I stand by that, and if you want to stop adding more data, that makes me sad but it's fine, but to say "I'm going to deliberately pull all the work I've ever done here" is a pretty selfish and destructive action.
Literally all this does is have the auto-ID show its work. That's it. That's the only change here. I cannot for the life of me understand how that's some sort of moral betrayal. I'm seeing people talking about crypto, Republicans, all sorts of conspiracy theories, it just feels like a very unserious discussion here and makes me think no one read or understood the post and/or people just have some existing hangup with AI and just want an excuse to rant about it.
I saw above the concern that people are lumping other iNat use into the 'carbon cost' calculation. I guess i am concerned in the other direction, that focus on the carbon cost of this one use of AI in particular (rather than the obviously harmful overall cost of this form of AI) just leads to people not wanting to drive to do ecological surveys, not want to use their phones and computers to record biodiversity data, and instead just turning off their lights and sitting in their rooms waiting to die. It is important that we don't waste resources but ultimately if we have a situation where the people who care most about nature stop doing anything while those who don't care keep intentionally being wasteful, we end up with more harm than good. Avoiding waste, and efficiency, are important, but we also need to recognize that the answer to climate change is never going to be "some people minimize their impact while others do nothing". It will be societal change to other energy sources and better conservation and restoration of habitats. (and, of course, much of the discussion is a massive distraction and why oil companies invented the "carbon footprint" concept in the first place) Unless one is being excessive, like idling an H2 next to a wetland for an hour while you observe orchids or watever, i don't think angsting over the carbon impact of collecting biodiversity data, which has to account for like 0.00000000001% of carbon emissions and promotes conservation of carbon-sequestering habitats, is actually productive.
That's just to address that one issue. I still think that any further iNat collaboration with "Gulf of Capitulation" "Wait, no, be evil now" google is a bad bad idea, that ignoring the wishes of the user base is a bad idea, and that ignoring so many other user requests while doing this thing that no one wanted is really frustrating.
@peaceblaster "Literally all this does is have the auto-ID show its work. That's it. That's the only change here." This is a gross misrepresentation of what is going on here.
And if you truly think the overwhelming push against this initiative is because of "personal hangups," you've also misunderstood what hundreds of folks have stated.
"They are also manually vetting them for accuracy before they are released"
Who will do the vetting? Obviously experts on the specific taxa, otherwise there's no point. But these experts are eager to write their own identification notes and have been saying it for years. They just need iNat to create infrastructure for that (all the talk about user-edited wiki). Writing is fun and creative work — even more if done communally and collaboratively. It allows you to think through the topic again and sharpen your insight. Vetting somebody else's writing is a chore. Vetting a computer-generated, impersonal output would be soul-crushing and I can't imagine many people being super motivated to do that.
"the overall system is still part of CV"
Why do you think so? They say "For years we have grappled with how to surface the most useful identification tips shared by these members of the community, and we think that generative AI could provide a scalable way to synthesize and share useful information about how to identify the 100,000 different species included in our current modeling process." That sounds much more like a separate system working in parallel with CV. This generative AI would be synthesizing user's comments. It wouldn't interact with CV. In fact, I can't really imagine these two systems working together. CV doesn't even "know" why it suggests an identification, so it can't communicate that information to the LLM for it to create a human language summary... assuming such connection, bridging two very different types of SW, would be even possible.
i do not consent to my data being scraped and used by google's generative AI crap. thanks for shilling out :))))) quick cash grabs are more important than people's online safety, the promotion of science, and the environment, huh? so why wont yall ever make a statement or acknowledge people's concerns over how much generative AI actually affects the environment? or how their data is going to be scraped and clearly sold to other companies for profit? your statement here is just buzzwords on top of buzzwords instead of actually addressing anything. amazing.
I feel absolutely sure the iNat staff did this with only the best motivations and expectations. No question. There's no way they expected this kind of response, and I know they're working through this as best they can. I'd be happy to burn Google, Meta, and the rest right to the ground (figuratively), but none of what has happened changes my belief that the iNat staff is acting in good faith.
To the iNat staff - I sure don't envy the position you're in right now, but just know that this isn't a reflection on you. You're collateral damage in a firestorm of exasperation with this technology. Whatever decision you make, I know you'll do only what you believe is in the best interests of iNat.
@peaceblaster
People saying they're going to leave and delete their observations isn't a "pretty selfish and destructive action". It's a threat. iNat is nothing without its userbase. This is the way users can make their voice heard to show their displeasure at the decision. If enough users quit and delete their data, that would jeopardize the entire site. Now, are the people defending this decision willing to risk letting that happen just so the CV can "show its work"?
And it's fine if you don't personally see it as a moral betrayal, but clearly many people do. AI has done a lot more harm than good to many, and the people who are pushing it the hardest are also the ones who are exploiting the vulnerable and dismantling our civil liberties. How is that a conspiracy theory? The very people who are calling upon the government to arrest their neighbors and friends are the ones who are asking for laws banning the regulation of AI. It's normal, even expected for decent people who care about things to be afraid of that. People are being negatively affected by this stuff and those who champion it. To voice your concerns about that is absolutely not a "very unserious discussion".
@coreyhusic I feel like if there were so much more to it, you would have said that in response instead of just saying I don't understand... and yes, I do fully believe these are personal hangups about the words "AI" and "Google". We can call it ideology if we want to dignify it to that degree, but this is looks like a typical Twitter storm to me. Let me go through what I'm seeing in this thread, and feel free to point out what I'm missing:
Complaints about Republicans, crypto, profits, etc.: fully irrelevant, sounds like they just want someone to talk to
Complaints about carbon impact: this is a pretty low impact model, certainly lower impact than the one that actually does the IDing. Fortnite on your phone is probably using more power than this model.
Complaints about Google: Sorry you don't like Google? This is basically a grant- no one's giving them data, no one's giving them money, and at most, this is just Google buying some PR (e.g. "look at us! we support this cool non-profit!").
Something something scraping data for gen AI: iNaturalist is an open dataset anyone can use for anything, and has probably already been scraped by every major LLM.
Something something AI IDs suck: yeah, probably, but that's why we have people confirm them. AI is not replacing anyone here. Also, don't pretend everyone here has a PhD- literally anyone can download this app, and the AI we have now is probably better at IDing than most users.
I'm just saying that either not reading, or deliberately misunderstanding the post, and then responding by pulling your contributions is short-sighted at best and outright selfish at worst. Your data has already been scraped for AI- all you're doing is taking it away from science and what you see as legitimate use (I think AI is a legitimate use, but that's another discussion).
@silversea_starsong I was unclear sorry, I know the genAI is only going to be trained on iNat comments, I just brought up outside academic species descriptions as a further point on why I'm worried about genAI writing its own descriptions. That was probably a little unnecessary to add.
It makes it better that it will only use organisms in the CV. I still worry that a lot of species in there are due to either user error or the CV's own "thought process(?)" that may not be consistently sound within the context of a given taxon (like it may ID a species correctly but for the wrong or inconsistent reasons). One of the draws of iNat to me was that people's observations and identifications were always training the CV which ends up being a great jumping-off point in an observation, but I think at the end of the day I'd rather a taxonomist or someone similar be writing ID tips for a taxon rather than a middleman. It feels a little different for a LLM to be writing the site's definitive standards for a taxon even if it gets vetted by people compared to the CV giving the first guess on an observation. I think that's why people range from concerned to furious about this. Like the CV was always a thing and it's still a major component of this new feature but it's doing way more that people want to do directly, I suppose.
Definitely true that many users don't explain how they identified an organism. I'm scared to ask sometimes! I'm about to study a group of insects that have really subtle characteristics that I'm desperately trying to find comprehensive keys for. Knowledge should be available to all, it's true! I would rather these characters be implemented on iNat with a wiki that trusted contributors could work on, if both AI and humans make mistakes and need peer review anyway. For taxa that are reliably in the CV, I think it wouldn't be an incredible time sink for people to do it instead because it's likely that there's people out there who could describe them quickly too. Comments here have definitely demonstrated a large amount of people willing to do this kind of work.
I also agree that a big problem is that people just take everything they see on iNat at face value. This probably is relevant to the larger issue of tech literacy, which people in every generation lack to some degree. Hopefully however iNat implements these ID tips, it'll help a little.
Very well said @neontetraploid
Very sad to see this.
This news is disappointing for a number of reasons. AI is becoming more and more difficult to avoid, and as this blog post states, more and more users are joining iNaturalist, meaning that this will increasingly contribute to the harmful impact that AI is having on the environment. No one ever asked for these services and I fail to see how they align with this community's care for nature. Even if these new descriptions appear to be helpful, they eliminate the need for critical thinking, which is an essential part of making observations and being a naturalist.
@peaceblaster
I get what you're trying to say, but you're not gonna convince anybody who's threatening to leave to stop and come back. You're not even refuting or countering the points people are making. You're calling those points irrelevant, immature, ignorant. And for what it's worth, "everything has already been scraped by AI" isn't even a good defense. Even if everybody has been affected by something negative, it's still important that we try to stop it from affecting people in the future, no?
What I've always appreciated about iNaturalist was the combination of the machine learning algorithm and human expertise. I am concerned that this devalues human expertise. Additionally, generative AI has major problems with hallucinations, as well as extreme environmental impacts.
"No one seems concerned how much impact iNaturalist already has environmentally, with its servers and existing features like CV."
@silversea_starsong I mean it is perhaps not discussed to the extent the proposed project here has been, but those discussions have happened (even recently; see https://forum.inaturalist.org/t/is-the-inaturalist-use-of-artificial-intelligence-damaging-this-planet/64159)
Just yesterday I was lamenting generative AI's parasitic appropriation of the intellectual labour of human beings. (I trust the iNat community will pardon any slight my metaphor might implicitly express against actual parasitic organisms, which have their legitimate place in the natural order.)
My perspective is informed by the principle of subsidiarity popularized in the late 19th century by the previous Pope Leo, number XIII, and later paraphrased by the Catechism of the Catholic Church: "neither the state nor any larger society should substitute itself for the initiative and responsibility of individuals and intermediary bodies."
If appropriate attitudes are held, the Compendium of of the Social Doctrine of the Church explains, "intermediate social entities [here read: identifiers] can properly perform the functions that fall to them without being required to hand them over unjustly to other social entities of a higher level, by which they would end up being absorbed and substituted, in the end seeing themselves denied their dignity and essential place" (186, emphases added). The torrent of disappointed comments here is a predictable consequence of "an absent or insufficient recognition of private initiative … and the failure to recognize its public function" (Compendium, 187).
I make heavy use of pattern recognition by iNat's computer vision feature, always understood to be subject to human verification. Generative AI is a different matter altogether. Setting aside the problems of hallucinations and environmental externalities, I see gen AI as ultimately corrosive of the community that has made iNat so appealing to me.
I see the grant as a trojan horse, and I struggle to imagine the conditions under which I would be prepared to continue participating if the funded project proceeds.
here are some ways iNat could have used technology and AI beneficially, in my opinion:
-improve the photo inputs to the existing AI so it works better. Not by 'frassing' photos or policing photo 'quality', rather by allowing 'tagging' of the specie in question in the frame within the photo (like Facebook lets you tag friends), and a data quality assessment entry to check when a photo is sufficient for ID, but not sufficient to train the AI. Also create in-app and in-website photo clipping or framed zooming to facilitate AI-ready image quality.
-allow the AI to identify more than one species in the photo and suggest adding additional observations if you haven't observed said species nearby already.
-Making the iNat AI able to identify multiple species in an image and then using it to identify species in cases like historic photos or possibly even google street view (caveat: google is garbage and i don't want to collaborate with them but just as an example).
-Allowing the AI to look at more than one photo at a time when making an ID, including on the app.
-Training the AI to make tentative annotations on things like phenology.
-Working with experts to flag taxa where the AI can not actually identify to species level (like certain spiders) and making sure AI does not go beyond the acceptable taxonomic level.
-using AI to make it easier to manage data, such as calling to attention problems such as vague location (if not intentional), addition of a species that is way out of range (may not be wrong but should be checked, dates that make no sense like a flower blooming in Iceland tagged as January, etc)
-Using AI to facilitate more organized surveys such as plant plots where you rapidly take a photo of each plant in a 100 square meter plot (or whatever) and the AI helps organize and classify each plant species.
-Expand AI to sound recordings, and potentially other things such as genetic fingerprints, the sonogram images from Merlin, etc).
-Leverage AI AI to increase taxonomic flexibility so that multiple taxonomic schemes can be used or taxonomic changes can be rectified more appropriately with the sorts of resources available to all users - but as a database tool, not by scraping comments.
-Use AI to add tentative IDs to unnecessarily coarse or 'life' observations. Make them carry no weight compared to a human user (still require 2 humans to get research grade), but tag the observation initially so that it's easier for experts to find.
-Use AI to find research grade observations where the AI strongly disagrees with the existing community ID. In some cases they may be community ID errors and in other cases they may be AI errors or else cases where a photo isn't appropriate for AI use, and could be flagged as described above.
Here are some ways iNat should NOT use AI:
-Partnering with Google without major protections and legally binding agreements from Google, which is to say the least not a trustworthy organization right now.
-Recreating ChatGPT but worse
-Doing things the community overwhelmingly doesn't want
-doing things experts say will lead to bad data.
Like i get that Google won't fund just anything but, i am actually not 100% opposed to these new technologies, and i think the way iNat is doing this is going to anger the community a lot, cause some mild degradation of data quality, and distract from actual improvements such as the ideas above plus the idea for an ID wiki and just general improvements like fixing notifications, fixing curation/moderation so taxonomy and moderation of human behavior aren't in the same subset, optional draft mode between the app upload and the website publication, ability to see ones own obscured observations on maps with the true location, and making sure the new app works 100% without cell service including allowing placeholder IDs (that the AI can help with later). I know i've got my own gripe list, and i am not intending to use this to bring up old arguments (i'm basically semi retired from the community beyond my own observations because of arguing too much and getting harassed) but i just think as a long time iNat member it's worth posting these few posts i've posted here.
Dang. . . this is going to confuse beginners even more when using CV for identification as misinformation is inevitable with a LLM. If you're going to do something AI related on INaturalist, maybe improve the scope and accuracy of the CV without changing it too much? It works fine.
why not let the hard-working users control this feature, instead of implementing a system to scrape their knowledge (along with who-knows-what-else)?
If nothing else, let this be the ultimate question. What does the site have to gain from following this course, and what would it lose? Is it worth it?
I am extremely disappointed that iNat is adding AI, for many reasons. Even more disappointed in how they chose to relay this information to it's users. If AI is truly going to be incorporated into iNat, then I will cancel my monthly donation and likely delete my account.
Disregarding environmental and ethical concerns that are being voiced very well by other people here: The ability for community curation of species differentiation notes is crucial. I've seen so many observations with perpetuated reasons for identification that are incorrect or within the morphological range of multiple species - just because sources are few and some are incorrect.
I'd be very worried about the perpetuation of incorrect or unhelpful identification notes through this and the possibility for it to fundamentally undermine the quality of 'research grade'
Wow there’s a lot of people here.
I feel like we should see what’s going to happen before jumping to any conclusions. I could see this going both well or bad. I do feel like a human-led wiki would be better than AI regardless, though.
Some questions:
Also, looking at the site stats page (https://www.inaturalist.org/stats), the amount of active users has dropped pretty significantly since June 5th, possibly correlated to this blog post?
I'm with @charlie on this one. Lots of good uses of AI with iNat that could have been explored (really hoping for the sound CV)--but this isn't one.
I'm seeing lots of ill-informed reasons why people don't like the proposed use of genAI (well summarized by @peaceblaster). For example, one can run genAI on a laptop--not all genAI needs a coal-powered plant to run it. But there are still reasons why it's not the best course of action (if only because of the distrust). I think it's pretty obvious that there's nothing that the iNat staff can say that will give users faith in this approach.
I really dislike this idea. I love CV (who doesn't), but this one seems inappropriate for the website, especially given there are thousands of people willing to help with a similar thing, but not run on genAI goop
This undermines the scientific, educational and environmental goals of iNaturalist, as LLMs are known for creating false informations and being very energy-consuming.
If this is implemented I'll delete my observations and account.
Even if staff responded on this post, it would be buried amidst 200, 300 comments.
@pfau_tarleton agree that this isn't a necessary feature, especially given the pushback it seems to be getting. I still think that pushback is teeming with misinformation, blind rage, and an appalling lack of nuance, but I'm still worried how many people are willing to delete their contributions regardless.
I don't trust it.
I am a hobbyist photographer whose curiosity in id grew out of that. I don't have expertise. I've seen enough over a couple decades to understand that sometimes the proper ways to identify species are ones that I don't expect, or that I'm not going to get from the way I photograph (minimal disturbance to creatures, no touching, the most artistic/accessible angles in mind first). I try to cross-reference what I get suggested by the image model by comparing my photos to what's suggested and close species in my area. Sometimes I get comments on why it's still wrong. And, yes, the image model is still useful even if sometimes I'm quite confused by its suggestions.
Adding generative AI though is another level. I'm afraid that text would make it sound way more authoritative as if that text is based on some reputable source, when it's not. It wouldn't have much to do with legitimate ID keys. And when I've looked into it, many times due to this AI craze hitting site after site after company after app, AI tends to hallucinate in double digit percentages.
I agree with others that a wiki would be better. Perhaps targeted information with real sources to give users some of those id keys. When I've looked into such things myself sometimes they're over my head (say, getting into the nitty gritty of some insect parts that are only visible in the lab or if you really know what you're looking for at good magnification). It still would be quite nice to know at the very least that I can't make my initial id suggestion down at species level or even genus with that kind of info. And if I can, wonderful!
I've been a major supporter of iNaturalist, but this gives me pause. Going to reflect, but I don't think this is something I want to be a part of and am strongly considering deleting all of my contributions as well.
@peaceblaster I encourage you to thoughtfully read what so many people are saying. You are accusing folks of acting on emotion, but your replies have been aggressive and dismissive without providing intellectual insight into these claims of "misinformation." Does everyone have the facts entirely correct? Probably not, but that doesn't immediately mean that their opinions, concerns, and questions aren't valid. The reality is that for many, the use of generative AI in this way completely goes against the mission and values that iNaturalist has claimed to uphold. If that is someone's opinion, why is it unreasonable that they leave the platform?
And on the point of "misinformation," it seems to be that most of the issues raised here are rooted in valid, accurate concerns about (a) generative AI and (b) how this fits into the iNaturalist community. If you have comprehensible arguments to refute what is being stated by the vast majority of users here, please share them! So far, your arguments have amounted to just about "trust me" and "you mad, bro?"
Stop for a second and consider that people are upset, regardless of whether you understand why. Rather than simply dismissing them, try to understand where they are coming from. I think you'll find that you're on a different wavelength and approaching this issue from a different perspective—and that doesn't necessarily make opposing opinions invalid.
This is very, very weird and in my honest opinion, just gross. Many of the users here have already expressed opinions that are very much in line with how I myself am feeling but if I’m to put in my two cents I just have to ask. Why? What is the point of an LLM that scrapes from user discussions to provide ID tips when you could create a basically identical system that simply relies on those actual human identifiers to write out the knowledge? I myself have seen the discussions on this site and know for a fact that absolutely not every single one would be trustworthy to source these “tips” from, which I get is why the feedback system is mentioned, but that just reinforces the “why”. You would not NEED a feedback system if you already had a group of trustworthy figures curating these ID tips together. I fail to see how a human curated system of the same nature would be less efficient than a Google sponsored AI. Which I guess leads me to add another concern. There is absolutely no way that iNaturalist staff have not seen the poor performance of Google’s AI systems or LLM AI systems in general. In just the last several months Google’s search engine AI has lied to me about there being a breeding population of white sturgeon in Mexico, as well as lied to me about the names used to refer to certain sturgeon hybrids, all while confidently linking websites that completely DISAGREED with everything the AI was sourcing them for. Once again, with how we ALL know these LLM programs falter, it is just impossible to properly fathom any non profit-based incentive at this stage that would genuinely lead to iNaturalist seeing an AI-curated system like this being beneficial to the platform. Thousands of users, myself included, have left countless comments on forum posts and the like discussing how willing we would be to contribute to a human curated system just like this, not to mention to guides and potentially a database far more in depth. It feels, to me, very disgusting, knowing that iNaturalist staff have most certainly seen these prevalent discussions and have now decided that instead of inviting the community into more collaborative work, the platform will now have an AI to scrape their contributions and regurgitate them into something most of them don’t even want to be a part of. In my eyes, that is iNaturalist telling it’s users they are resources to be sourced from more than they are the contributors that built this amazing platform to what it is now over the last 2 decades.
But dont we already have Wiki? How will another "Wiki" on iNat help? We dont have enough specialists to do Wiki just service, how will creating another WIki help at all? The Wiki is one of the tabs on the species page: There is a click to adding an entry or updating the Wiki page already on iNaturalist.
What is this really about? What is proposed is that the current CV (which we already have) will now have an explanation as to how it made its ID. The CV is OK, but it giving a reason is not.
Personally I would welcome that there is a diagnostic feature. Within my groups, I would be more than happy to vet the reasons, and flag those reasons that were erroneous.
Also, this would be a product of the ID training: it would not be a live explanation with every ID - the "energy" use will be part of the training - it would not use computation or energy when making IDs. If a particular ID made does not measure up to the reason, or is ambiguous, that would be obvious in the choices presented .
This reaction is similar to past proposals to give specialists and experts more say in the identification process. A vehement pushback that IDs are driven by the community, and not by scientists - or now it seems by the CV too.
GenAI would be filled with errors and it would only worsen wrong confident identifications. A user created wiki would make problems less rarely and could fix them easily. Truly this is a spit to the face of every identifier on this site.
@tonyrebelo I think this would be like the CV--regularly updated as new comments became available. You said: "I would welcome that there is a diagnostic feature. Within my groups, I would be more than happy to vet the reasons, and flag those reasons that were erroneous." I think you'd have to revet everytime the model is rerun because the genAI output would be different with each iteration.
I agree that the Wiki would never cover a large number of taxa and isn't a substitute for what they're trying to do.
This is an exciting opportunity. iNaturalist's success has always come from combining its incredible community with a willingness to embrace new technologies while maintaining high standards. To stay at the forefront of biological recording, it's essential to explore the cutting edge.
The pace of progress in this field is staggering, and I don't see this as an "either/or" choice between AI and a user-driven wiki. The two approaches could be complementary, even symbiotic. I'm optimistic about this experiment and trust the iNat team to navigate it thoughtfully.
@pfau_tarleton - that is one model, but not an efficient one. A more efficient model would be that the reasons would build on previous reasons, and consider previous flags.
And yes, I would appreciate a summary of any updates to review with each iteration. In the same way that the new species added are summarized with each iteration.
I have over 800 videos and 2000 photos, which will equal somewhere in the ballpark of 500+ observations, sitting on my computer waiting to be processed and uploaded to iNat. I'm not going to bother going through them until you change your stance and clarify what is going on. It's your move, iNat. You're making me withhold valuable data because I no longer feel comfortable sharing my observations with y'all.
How awful! All we need is a wiki, not generative AI slop. Just awful.
@tonyrebelo
"What is this really about? What is proposed is that the current CV (which we already have) will now have an explanation as to how it made its ID. The CV is OK, but it giving a reason is not."
The CV doesn't make its IDs with logic like the kind you and I use. it makes its IDs by analysing many images and going "the ones with these coloured pixels in this arrangement are often identified as these species". it doesn't know what a wing or a nose or whatever are, so whatever text you get isn't actually a reflection of how it identified the species, it's an amalgamation of other people's comments pasted onto the CV's guess, most likely with very little acknowledgement of what features are visible in the actual observation.
The kind of AI that generates text is, for all intents and purposes, basically overly fancy predictive text. It learns what words tend to come after each other when different words are present and then puts words together in a convincing sounding order. It can't think or know things the way humans can. It can just make sentences that sound like a sentence a person would put together
I am a biologist as well as a scientific illustrator. I use iNaturalist to help me get in touch with researchers working in my region on species I see but know less about (such as undescribed invertebrates), to help me identify plants I see when doing my own work with vertebrates, and also to get a sense of what animals and plants are found in regions I have been commissioned to do illustrations for.
All of this work becomes devalued by the introduction of genAI. Association with genAI becomes an association with anti-climate, anti-environmental work of questionalble value and quality and validity. I would not trust anything put out by genAI in this context. Likewise, I do not want any of my own observations used to train google's AI and will be removing my multiple years of taxa observations, including some undescribed species, from iNat's database if this is to go through.
Please reconsider. No association with google's genAI should be permitted for the iNat database if it is to remain a valuable research and learning tool.
So I'll add a few thoughts. I think the intent here is positive. Many people who are novices have said something along the lines of, "I wish iNat would tell me why this is a Plantago wrightiana rather than a Plantago helleri. This is meant to be able to explain that, probably in more of a layperson's terms, which makes nature more accessible than plugging away for hours with a dichotomous key.
This said, I do understand concerns people have, particularly if they haven't explicitly agreed to have their notes and comments used this way. I wonder how this gets into details with Terms of Service. If this data gets scraped, and somebody deletes their account, is the data still available in perpetuity or does it get removed from CV model / LLM suggestions?
Clarification is needed. If our images and comments will be shared with Google to help them create generative AI models then thousands of users will be deleting their observations. Please consider what effect losing your most dedicated supporters will do to the platform. This is enshittification.
Why not leave things like this to the huge and knowledgable userbase we already have on this site, instead of outsourcing human teaching interactions to an AI that uses unconscionable amounts of energy to achieve usually less accurate results? I would be really disappointed to see the site management follow through with this. For me, iNaturalist is a place to learn from other people and share my own knowledge. I'm sure I'm not alone in enjoying the genuine human interactions I experience here, especially in a world that seems more and more focused on replacing those with computer models.
This isn't even going into the possible safety issues that would arise should people trust an AI 100% to tell them what mushrooms are safe to eat, etc.
Please take some time to consider whether incorporating the technology-of-the-moment is worth robbing human users of the joy of sharing our knowledge with others. As someone who was hoping to monetarily support the site in future, I can safely say I won't be doing that if this comes to fruition.
GenAI is harmful not only to people's creative property, but also incredibly energy inefficient and harmful to our planet. This is terrible and goes against what iNaturalist should stand for. Do better. I'm among top identifiers for several species. I'm happy to and already do explain to people why an observation is one species or another. We do NOT need genAI for this.
If you want to keep your apps integrity you will not implement this. All this for a feature users could easily help implement.
Your response also fails to distinguish issues of GenAI from other forms of AI. We know iNaturalist has always used AI for things like computer vision. The issue is not all AI, it is GenAI and its reliability on content scraping and inefficient energy consumption.
Yeah… no. Absolutely not.
The reason we joined this community is to learn from experts, not robots who hallucinate. Please do not scare off the community that is built here.
Going to Google and asking for generative AI, when your userbase is dedicated to conservation, education, and appreciation of our world's environment and biodiversity? You will lose donors, you will lose users, you will lose observations, you will lose scientists, you will lose public opinion, and you will gain a lot of bad blood if you incorporate Google's genAI into this website.
To be honest, more than the actual substance of this change (which this post did not clarify all that much), this whole thing has affected my impression of the iNat leadership. Even if it ends up being done in the best way possible, it would be hard to miss the strong anti-AI sentiment in the science, art, and naturalist communities that make up the core of iNat's user base. Dropping this without doing anything to assuage even the most obvious concerns – especially doing so in a short social media post, without even having this blog post prepared – makes me worried there's a major disconnect between the leadership and users that could lead to a serious community breakdown.
Frankly, no thank you.
Generative AI and the whole host of issues that come with it are antithetical to the community here and their mission. As a relatively new user, I’m super disappointed to see yet another cool company succumb to Gen AI. It’s everywhere and we don’t want it. Please get rid of it, your community here doesn’t want it.
I'm not a fan of this at all, the greed and resource strain of Google and AI are the antithesis to conservation of the natural world. I guess the almighty dollar is more important to iNat.
Really disappointed about this to be honest. I really do not not want gen ai in my inaturalist. This is no Reese’s peanut butter cups.
Please reconsider this, or at least give users the option of opting out of having their comments and images scraped by Google's Generative AI. Adobe almost made the same mistake last year but fotunately backtracked on that
Please don’t do this. I’m a huge fan of iNaturalist and recommend it to people often, but I wouldn’t feel comfortable doing that or even using the site if it suggested information on identification made by AI. This will likely turn iNaturalist into a platform that spits out misinformation, and even at its best it will discourage people from doing their own research. Experts understand nuance, Generative AI is a just space heater that lies to you.
Many other users have stated my concerns more eloquently, but I would like to add my voice as one of many deeply concerned by this. While I think the overall proposed function (outputting an explanation of why an ID was suggested) is very useful, especially for learning unfamiliar taxa where such species-level identifications are feasible from photos, the data privacy issues and environmental costs of genAI make this a nonstarter for me.
I come to iNat for the people. I know that the suggested taxon may not be correct, and use it mainly to narrow down possibilities knowing that humans will review them and correct them when wrong. I put in plenty of time myself checking IDs for the taxa I know well. Adding genAI to this will only cause misIDs to proliferate. And aside from these practical issues effecting site functionality, I do not upload my observations with the expectations they'll be mined for genAI purposes, especially in association with Google. I did not consent to that when I started posting, and I certainly do not now!
I am a faculty member and have built assignments around iNat in the past. I've used it for preliminary distribution data in rare taxa in my area. I've recommended it to everyone from my students to random people I meet while out in the field. This decision would make me reconsider all of that. I would very likely delete my account and all of my observations rather than let them be used for training genAI, and I am clearly far from alone in that.
I know this grant is a substantial amount of money, but I beg you- please change course. The goodwill and community you have here that you will lose is incomparably more valuable.
Oh absolutely not. There are a whole host of issues raised by the use of generative AI that are annoying at BEST, and downright lethal at worst. There's plenty of examples of people using identification books written with the use of genAI being told that something is entirely safe, when in reality it ends up very deadly (button mushroom vs destroying angel is the first that comes to mind).
And that's glossing over the fact that to even use gen AI, there's a ton of resources that are being used up. Clean water that would be better used for drinking or watering plants is getting sucked up by greedy companies to keep the machines cool, there's a ton of unclean energy being used to even power these things, etc etc. Personally I'd rather NOT have my data get used for something as soul-suckingly earth-destroying as this. ESPECIALLY by a group that seems to care about the planet a lot.
None of us want this genAI slop in our identification app. Especially not when it's hand-in-hand with the corporate greed that google has been shown to have. I am incredibly disappointed and I hope that this gets removed promptly.
absolutely do not under any circumstances add generative ai to your app. there is no reason to. The system you have in place frequently guesses as accurately as genus and is corrected by human users when in error. Especially do not take money from a massive monopolizing mega corporation to add their practically worthless service to inaturalist. You will gain nothing from this but the distrust of a user base far more dedicated to science than brand loyalty who will have zero issue flocking to other, better services as soon as possible.
iNaturalist's strength is its community. There's a risk that emphasizing generative AI could inadvertently reduce human interaction on this platform, which is where a lot of learning and mentorship happens. How will you maintain that balance and ensure identifiers for certain taxa don't leave the website, effectively leaving iNaturalist with just the generative AI (which can then go completely unmoderated.) I'm assuming only experts will have the knowledge to actually be able to validate the AI's claims on many species, so will you be hiring taxon experts to do this? It's one thing to have experts such as botanists, entomologists, mycologists, etc volunteering to help identify organisms on this platform, but expecting them to moderate all of the AI's comments as well and ensure it doesn't spread misinformation is going to be considerably more difficult. I wonder if a financial benefit will be required as I worry this is looking very labour intensive and in many regards requiring highly qualified expertise. Without constant moderation this AI could spread a lot of misinformation and all it takes is a difficult taxa to only have one or two experts who either leave the platform or stop watching the AI and the AI could effectively spout as much nonsense comments as it likes for as long as a taxon expert is unavailable on the site to correct its behaviour. Normal everyday people are not going to know when the generative AI is lying or making things up. The only people who can correct this false information generated by the generative AI would be the taxon experts who specialize in said taxon. This is putting a much bigger strain on them... Many difficult taxa only have one or two identifiers... I'm assuming you'll be paying these taxon experts if their work will be absolutely necessary for the accuracy and success of this generative AI's implementation? Surely a failure to get these highly educated identifiers onboard will mean the AI is spouting information and you'd have no real idea on it's validity? Generative AI is known to often produce factually incorrect yet seemingly confident responses, I imagine it'll especially try to do this with difficult to ID taxa as well. Who is actually going to moderate this when only a very select few can actually confirm or contest what the AI is saying anyway?
An example I'd like to give: An expert identifier could state in previous comments that the incredibly rare Greater Spotted Haggis Fly has a furrier abdomen compared to the Lesser Spotted Haggis Fly. If there were only one taxon expert identifying these Haggis Flies on iNaturalist and then the expert was to disappear... Who will correct the AI if it started saying that the Lesser Spotted Haggis Fly is completely hairless? Who would even know the AI is lying if it's making things up or warping the facts about an obscure species that nobody has the expertise to correct? In this kind of instance the only way to ensure the AI doesn't do this is to pay people to moderate it, yet in regards to the Haggis Flies there is only one person on the website who is knowledgeable to identify them in the first place. Would iNaturalist pay this identifier to stick around and ensure the AI doesn't lie? Many normal everyday people will not be able to differentiate different genera of flies, never mind species. It seems likely the only people capable of validating or refuting the AI's claims are those who are experts in the taxa already.
Users must be given powers to curtain AI before it's roled out even further.. I have close to 40 000 identifications of Ramaria and Phaeoclavulina. The iNat's AI accuracy is close to 0% for this group. AI frequently calls Ramaria as Phaeoclavulina, to the point people commonly think Ramaria are Phaeoclavulina (which look completely different)! What's the point of having an AI explain why it's correct if it has 0% accuracy?
@naelin Its silly to suggest that our concerns are invalid. This is the perfect forum and one opportunity we have to stop a change that's detrimental to iNat. And yes, I believe computer vision should be binned entirely. It arguably does more hard than good at least for Gomphaceae
Terrible decision. What happened here? Whose families are being held hostage for a nonprofit environmentally-focused organization to decide on the random implementation of GenAI?
I mean seriously, if we think about how iNat's image recognition AI (which is COMPLETELY different from GenAI) can change its mind on a post, and how its opinions can differ even between platforms, then that means that we will 100% be facing an amount of generations OVER one per post, which is just an absurd amount of energy and water at the rate that iNat's database is growing.
I get that there's money tied to this decision but in the long run using a generative AI is by far a worse option (for the environment, and for the accuracy of information) than having an alternative like a user curated description would be. if the generative AI is added to inat i will seriously consider leaving and no lo ny er contributing.
I am very disappointed by this announcement. If this goes forward I will withdraw my support and my contributions to iNaturalist
It's extremely disappointing to see iNaturalist using Gen AI. Between the amount of energy usage and pollution generation of Gen AI and its habit of confidently producing inaccurate information, this feels fully counter to iNaturalist's mission. Consider the Gen AI-produced mushroom foraging guides that recommended harvesting and eating toxic mushrooms. Further, if the LLM continues to collect data from iNaturalist, any errors that users accept as accurate will then be reincorporated into the data pool, leading to even grosser mistakes.
At the very least, make gen AI usage actively opt-in.
Hell no. I’ll delete alll my observations and withdraw my donations if you do this. INaturalist is about people and planet and the beings we love and want to know more of. It brings us closer to nature. Google and LLM use enormous amounts of fossil fuels to run their servers that if we apply this to everything our observations will be nothing more than a museum of dead creatures.
I want absolutely nothing to do with Generative AI. I'm sorry to say it, but if iNaturalist goes forward with any sort of Gen AI partnership, I will be discontinuing use of the platform, removing any trace of myself on it including my IDs and observations, and actively advising others in my communities to do the same. We do not need Gen AI in our science, it has no place here.
I posted something similar to this on the forums, but I think it's important to get it both places for posterity and to make sure it's seen. iNat is extremely important to me as an epicenter of citizen science and a source of truth for identifying and documenting the wildlife around me.
It’s extremely worrying for me to see that iNat is accepting this grant, because there are a ton of problems I can see from reading both the public grant terms, and from my personal experience with genAI in the tech industry.
GenAI algorithms have a persistent and incurable problem with hallucinating statistically likely but baseless information when they’re invoked, and it’s an artifact of the way they’re made. This is not a correctable problem. This is not fixable by some kind of multi-model oversight, by some kind of “reasoning” framework, or by anything else. It’s embedded into how genAI frameworks are created and trained.
GenAI algorithms are also, at this point in their development, experiencing significant issues with diminishing returns on capability based on the saturation of their training data with genAI-created content. This will be a problem for any genAI system that is intended to produce output in natural language, or that is descended from any major model in use today. Like the hallucination issue, this is not a correctable problem.
Additionally, after reviewing the public grant terms, I can immediately see a poison pill embedded into them:
This is a trap, pure and simple. You can’t run a genAI model without access to compute power, and Google will definitely be ensuring that you’re running on Google Cloud. Cloud credits are ruinously expensive - the only way that Anthropic, OpenAI, and all the other getAI providers can exist is because they’re getting free cloud credits from Google and Microsoft.
I know iNat is always concerned with server costs and infrastructure costs – a nonprofit science website doesn’t exactly rake in the cash. Think about what happens if you integrate genAI, and then Google pulls your Cloud Credits. Suddenly, you’re not just paying for your own servers and infrastructure, you’re paying whatever Google wants to charge you for a critical portion of your infrastructure. Your site has become a hostage to Google – and you can’t remove the genAI because Google's experts helped you integrate it in a lynchpin position. This outcome would OBLITERATE iNat’s funding, and the only assurance you’d have of it not happening would be Google saying “we would never!”
This is not an exhaustive list of my concerns, but it’s the top few. We cannot allow the seductive lure of money from an untrustworthy benefactor to compromise the functionality, integrity, and usability of iNaturalist, under any circumstances.
I would find this idea interesting if, rather than pretending to be an ID aid, it was instead a form of introspection for iNat’s existing CV system. I’m not interested in an AI telling me (probably incorrectly or unreliably) how it thinks a particular species could be identified, but a tool which allows some insight into the “black box” and reveals why the CV “thinks” that a photo shows a particular species could be very useful for debugging and improving the CV.
As with many other iNat users, I’ve long dreamed of iNat having some sort of user-curated list of ID tips for each species. Whenever an expert corrects one of my IDs I make sure to ask what they were looking at to try to become a better identifier myself, but this knowledge gets buried in comments of old observations.
IMO one of the great strengths of iNat’s approach is using the CV to do 80% of the work and letting experts handle the much more difficult 20%. A similar approach could be applied here: e.g. using an LLM to search iNat comments for “why did you ID this thing like that” questions and use the answers to seed a wiki of ID tips, which could then be refined and expanded by users.
iNat has a huge problem with observer:identifier ratios, and some sort of user-curated tool to help people ID better could go a long way to solving this. If the outcome of this grant ended up being “the AI sucked at telling us how to ID stuff, but we got a bunch of money to improve the CV and build+seed a database of user-curated ID suggestions” I’d be very happy.
After carefully reading your description, I remain unconvinced and urge iNaturalist to drop this plan to add AI functionality in partnership with Google. The environmental footprint of generative AI is unacceptable. I suspect that Google stands to gain far more value in access to training data than iNaturalist will receive. The output of genAI models is fundamentally flawed and unreliable. I don't trust Alphabet/Google and don't want my observation data used by that company. If you proceed, it will undermine one of the last great places on the internet, and I am likely to cease contributing.
"and we think generative AI could be used to support the hard work done by folks making IDs on iNaturalist."
No. Generative AI will make this work harder, uglier, and more depressing. That's what it does in every other context.
Generative AI is seductive, very seductive. Lots of smart people know that. The sentiments being expressed here are overwhelmingly of caution and concern. In my own experience of doing > 97k identifications of plants, many observations will never be identifiable to species, no matter how well AI is trained, because the observers don't show the features (most often the leaves) that are essential for correct identification. AI won't be able to fix that. Educational tools for serious observers could improve the quality of some observations. Taxon-specific Wiki pages with expert-contributed tips for identification AND observation sounds like a great idea.
I agree with what most everyone has said about iNaturalist remaining mostly human-controlled. I do not trust Google or GenAI to have our best interests in heart or to preserve the privacy of the data on this site. If people put in the work, they can find information on distinguishing features of organisms through already existing resources made by humans. I see no reason why we need AI to consolidate information that has the chance to be incorrect into a summary of distinguishing characteristics when we can have people who already happily volunteer to ID these organisms type up a few sentences about these characteristics themselves. I understand how this could possibly be a good addition, but I trust the work our community is doing now more than what GenAI could ever accomplish. Why pawn work off to AI when you have an army of willing people ready to do the work themselves, likely on a level AI cannot achieve?
This is a terrible idea. Google is not a trustworthy company. Generative AI/LLMs makes things worse, not better. The data centers that are built for AI are a negative impact on the environment. Others are more well versed with their dissent against AI than I am, but I agree with them. Google just wants more of our data to feed its machine that can't do anything useful even with all of the data of the internet.
If iNaturalist goes through with this deal, then I will remove my data and delete my account
What good could this possibly do that couldn't be done by a user-driven wiki? It would be more accurate, effective, and, to my understanding, cheaper. Every usage of generative AI for informational purposes I've seen has required so much fact checking and correction that you would've been better off not using it at all. This is absurd. I'm betting this will be taken out in less than five years if for no other reason than the inaccuracy.
I say this as an enthusiastic user of iNaturalist with over 11,000 observations to date who deeply values this platform and the community of naturalists it has fostered. This idea would be a mistake to implement.
As many have said, this is a risky idea to begin with and there are better solutions that preserve the integrity of iNaturalist while also allowing continued improvements to the platform. Implementing GenAI (particularly in association with a company like Google) is a huge mistake. The environmental impact of GenAI combined with the major privacy concerns are enough to discourage any use of GenAI in association with something like iNaturalist. Considering the risk of jeopardizing the relationship iNaturalist has with its users and the wider scientific community, the picture just gets worse. iNaturalist already has a community of experts ready to contribute this kind of information, we don't need Gen AI lying to us while Google steals our data and destroys the environment.
If this feature is opt-in by default, many users will leave iNaturalist. Like other commenters have mentioned, this partnership with Google will have more drawbacks than benefits. For example: server space, energy consumption, and ethics.
@naelin i think the only possible pro is convenience. but there are many more possible cons imo: misinformation will likely be spread, our observation data (or as you suggest, more of it) could be used as training data without our consent (this could become illegal in a number of years, rendering it pointless for poor Daddy Google too) , the community would generally be less tight with less people explaining their IDs, server space and energy would be wasted on it, and of course, it would further exploit people and the earth in a world of pre-ai laws. but technology is always abused until the law catches up i guess so its not like im surprised iNat's jumping on the bandwagon. anyway, these are all pretty minor effects but considering the limited benefits it just seems like a bad decision. at best, pointless. at worst, harmful.
I don't like, or trust, the use of AI—which is literally a "what word is most likely to come next" generator—to give me identification about species. I trust the people here to say "oh, that's a European paper wasp" or "oh, that's a yellowjacket", and get it right, or if they're wrong, it's because they are species that look very similar. If an AI told me a difference, I would not trust it, and would go check myself, which would serve only to waste water.
Please do not do this.
In principle, I think providing explanations of how an ID suggestion is made is a good idea, but is that actually what is happening if you use generative AI to explain how the CV (non-generative) AI made an ID? Isn't that just two AI tools running in parallel? I can imagine cases where the standard CV ID is sound, but the image uploaded don't actually show some feature mentioned in the explanation the (generative) AI provides. Then you may just confuse users. "Where is the white stripe? I don't see any stripe in my picture. I must be misunderstanding...".
seconding the user-curated wiki solution - surely that must be simpler and more effective to implement
This makes me feel completely unsafe and uncomfortable adding any more observations that I make with the Cornell Cooperative Extension, from a place of academic integrity and respect for the First Nations which Google is participating in the oppression of.
I'd like to respectfully offer an alternative in addition to a user-generated wiki:
Just do this but make it user-generated. Boom. Money saved. Time saved. Community saved- I could go on.
Make it so that when a user makes an ID, they are encouraged to elaborate on it briefly. Could be in the form of a popup or dedicated textbox. And users can upvote/downvote the explanation so that the best reason makes it to the top. Should be able to see who upvoted/downvoted too so that we know if its an expert or just some joe shmoe. This would be cool to have alongside a wiki because some observations are nuanced and benefit from such explanations.
Now this is much more of a million dollar idea than what those Google staff could come up with lol
Not reading the entire thread.
But please, please, don't. This is one of the only social media platforms left on the internet that hasn't been ruined by AI. Please don't take this step. Please don't ruin the amazing thing that you have created here.
This is a terrible idea and strongly discourages me from wanting to use this site. I'm not the most prolific IDer, but I've done a decent number of IDs and I like to leave comments explaining my reasoning as often as possible. I will refrain from contributing any more of my expertise to iNat if it decides to use generative AI in identification suggestions. You have a massive userbase with many people willing to help create manual ID guides/wikis/identification tip pages. It'll be slower, sure, but it'll be accurate and won't destroy the planet in the process. I'd expect better from a supposed naturalist company. There is a huge difference between the AI used for the computer vision and the GenAI proposed here. I will not be using this site any longer if it becomes a GenAI shitshow.
@lothlin sooooo true
I dont know how you recover from this. I think whatever is planned needs to be put on hold until the community gets on board with it. Significant transparency is needed.
In 5 hours there will probably be another 100 comments with most not in favor.
Please let the amazing naturalists on this site write descriptions for species and help Inaturalist stay unique. Too many websites are using AI as their main source of information. Code should never be the reason humans lose their expertise. I don't want false information being advertised because an AI thinks so. I made https://www.inaturalist.org/journal/yayemaster/111412-a-guide-to-identifying-difficult-plant-genera-on-long-island without any AI help and has helped many Inatters get better photos and IDs.
AI will only bring Inaturalist further away from its goals of connecting users to nature and exploring the biodiversity of this amazing planet. This will inevitably lead to many users(including me) to leave Inaturalist.
In my opinion, the world was better off without AI, and so Inat should refrain from this grant.
I feel this is a massive step in the wrong direction. This is a dusrespect to much of the userbase, including the many expert biologists and conservationists across the globe that carefully curate many parts of iNaturalist. Generative AI is not in any place to ensure the academic integrity necessary in the nuances of species ID, and I hope this is reconsidered.
iNat has functioned without this for nearly 2 decades. Pretty please, no.
I just joined this website a couple months ago. As somebody who wants to study biology in college, and as somebody who is very passionate about nature and science, I LOVED this website. I have learned so much from the PEOPLE on here, even though I haven't been here that long. I am very disappointed that this situation is occurring right now. If this actually happens I will be deleting all of my data and never coming on here again. I do not trust AI, I do not support AI, and I certainly will not be letting AI use my data.
iNaturalist, this is a very, very bad idea.
This website is very useful as an amateur scientist and it would deeply sadden me to have to leave because it will be taken over by AI, like many other websites have. I hate AI, I don't want anything to do with AI. I want real opinions, real interactions, real identifications and real people. I am fully prepared to delete all of my data and leave this platform. Such a shame, really, such a shame.
GOOGLE?!?!? 😨
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