The Animal AI Incident Observatory

René Itah and a collaborator are building a public platform to track incidents of AI-caused harm to non-human animals, such as autonomous vehicles hitting animals and robots disrupting wildlife. The platform will use an LLM to detect incidents from multiple sources, with human review before publication on a public dashboard.

René Itah mailto:itah.rene@gmail.com and I are building a public platform to track incidents of AI-caused harm to non-human animals. Some examples of these harms include autonomous vehicles hitting animals on roads, smart home systems creating unsafe conditions for companion animals, and robots interfering with nesting and migratory patterns in wildlife. Our design ingests data from multiple different sources and uses an LLM to detect instances of AI-caused harm to non-human animals. These instances are then reviewed by a human prior to publication on a publicly accessible dashboard. We want to build this with input from people already working on AI+animal welfare, so if this is a space you care about, we’d love your take. AI systems increasingly make decisions that affect animals, but there's no central place tracking when those systems cause harm. Reporting spans a variety of sources from news reports to mandatory reporting ex. NHTSA to research papers. Some AI incident databases already exist, like the legal hallucinations database https://artificialauthority.ai/p/hallucinations-case-database-faq and We’d very much appreciate your feedback either in the comments below or by email mailto:courtsims09@hotmail.com .