AI Incident Database – Search over 3000 reports of AI Harms. Why “AI Incidents”? Intelligent systems are currently prone to unforeseen and often dangerous failures when they are deployed to the real world. Much like the transportation sector before it (e.g., FAA and FARS) and more recently computer systems, intelligent systems require a repository of problems experienced in the real world so that future researchers and developers may mitigate or avoid repeated bad outcomes. The initial set of more than 1,000 incident reports have been intentionally broad in nature. Current examples include,
- An autonomous car kills a pedestrian
- A trading algorithm causes a market “flash crash” where billions of dollars transfer between parties
- A facial recognition system causes an innocent person to be arrested
You are invited to explore the incidents collected to date, view the complete listing, and submit additional incident reports. Researchers are invited to review our working definition of AI incidents…”
