Citizen science platforms must mitigate against the…

Citizen science platforms are facing a growing threat from AI-manipulated media that risks compromising the integrity of biodiversity research and species tracking. As generative models become more accessible, the submission of fabricated or over-enhanced photographs to these platforms threatens to introduce spurious data into scientific records.

What happened

A notable incident involved an image uploaded to iNaturalist that was presented as a potential first Brazilian record of a red-winged blackbird, a migratory North American species. Upon investigation, it was discovered that the image was actually a locally common epaulet oriole. The contributor had used Google’s AI image editor to 'rebuild' the photo, inadvertently creating a likeness of the extralimital species. While the contributor did not have a malicious desire to deceive, the manipulation removed salient field marks necessary for accurate identification. This case highlights a broader issue where generative AI tools introduce artifacts that distort scientific data. Because platforms like iNaturalist rely on millions of user-submitted images to map species occurrence and behavior, such contamination can lead to significant errors in ecological inference. Beyond direct fabrication, the over-enhancement of images has become a frequent problem, necessitating urgent efforts to educate contributors on how digital processing can jeopardize the accuracy of the global scientific record.