Fabricated wildlife footage generated by artificial intelligence is racking up millions of views on social media, but researchers warn it is distorting public understanding of animal behavior and could undermine support for conservation. A study published in Conservation Biology by a team at the University of Córdoba highlights the growing problem of AI-generated videos that depict animals in implausible or misleading scenarios.
The authors—José Guerrero-Casado, Tamara Murillo-Jiménez, Antonio Carpio, Francisco Tortosa, and Rocío Serrano-Rodríguez—argue that such content is increasingly shaping how the public perceives wildlife, often incorrectly. One viral AI video they cite shows various bird species sheltering chicks from the rain, widely shared with captions describing it as “true mother love.” The framing misses an established fact: in 90% of bird species, males also participate in raising young, while many reptiles, amphibians, and fish provide no parental care at all.
The paper also points to invented interactions between species, such as fabricated footage of predators and prey, or parasites and their hosts, behaving with implausible affection toward one another. Separately, the authors highlight videos showing fictional bonds between humans and wild animals, including one clip of a polar bear being rescued by fishers and reacting with exaggerated gratitude. Such scenes risk giving people a false sense of security around wild animals and could encourage demand for exotic pets, fueling illegal wildlife trade.
Conservation Funding at Risk
The researchers expect AI-generated content to skew toward mammals, since these species already tend to perform best on social media. They warn this could reinforce existing funding imbalances, with conservation projects for less popular animal groups losing out. Fake, location-tagged wildlife footage could also drive tourists to sites where the animal shown was never actually present, adding pressure on ecosystems.
The study stops short of proposing a fix, conceding that global regulation of AI content is unlikely in the near term. Instead, it calls for wider media literacy education so audiences learn to question what they see online. This concern echoes a separate warning issued this week by researchers writing in Nature Ecology and Evolution, who argue that AI-manipulated photographs, audio, and video submitted to citizen-science platforms could contaminate the data researchers rely on to track where species occur and how they behave, potentially leading to flawed ecological conclusions.
Those researchers point to over-enhancement as the more common problem, rather than outright fabrication. Editing tools can strip out or alter the physical features used to identify a species, sometimes causing it to be misidentified altogether. They cite a real case in which a photograph believed to show a red-winged blackbird, a North American species never before recorded in Brazil, was submitted to iNaturalist as a potential first sighting. The bird was in fact an epaulet oriole, a species common to the region. The image had been “rebuilt” using Google’s AI image editor, which added markings resembling the North American bird, likely reflecting that species’ heavier representation in the tool’s training data. The researchers stress the contributor had no intention of misleading anyone; their goal was purely cosmetic: a better-looking picture.
For European audiences, the implications are clear. As AI-generated content becomes more sophisticated, the line between real and fabricated wildlife footage blurs, potentially affecting public support for conservation initiatives across the continent. Europeans' Wildlife Wish List: Pandas, Elephants, and Kangaroos Top New 'Big Five' shows how public preferences already skew toward charismatic species, a bias that AI content could amplify. Meanwhile, How to Turn Your European Garden into a Wildlife Haven During Heatwaves offers practical steps for supporting local biodiversity, but such efforts rely on accurate information about animal behavior.
The study underscores a broader challenge: as AI tools become more accessible, the authenticity of digital content—from wildlife videos to political imagery—is increasingly in question. AI-Generated Image Falsely Shows Macron Kneeling Before Thai King and AI-Generated Images Used to Falsely Claim Kyiv Monastery Attack Was Staged illustrate how similar techniques can be weaponized in other domains. For conservation, the stakes are high: if the public cannot trust what they see, support for protecting endangered species may erode.
