Overview
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.
