As AI technology is integrated into an increasing number of safety-critical systems — entering domains such as transportation, healthcare, and energy — the potential impact of this technology’s failures similarly grows. The AI Incident Database (AIID) is a tool designed to help us better imagine and anticipate these risks, collecting more than 1,200 reports of intelligent systems causing safety, fairness, or other real-world problems.
As a central, systematized repository of problems experienced in the real world as a result of AI, this crowdsourced database can help AI practitioners mitigate or avoid repeated bad outcomes in the future. Discover previously contributed incident reports or submit your own today.
When AI Systems Fail: Introducing the AI Incident Database