AI Incident Database

The AI Incident Database serves as a critical resource for tracking and analyzing real-world AI system failures, providing transparency and insight into the potential risks associated with emerging artificial intelligence technologies. By documenting incidents across different sectors—including education, healthcare, law enforcement, and social media—the database offers a systematic approach to understanding AI's unintended consequences and potential pitfalls. The database's methodology of collecting, categorizing, and presenting detailed incident reports represents an important contribution to AI safety research. By creating a publicly accessible repository of AI-related mishaps, the project enables researchers, policymakers, and technology developers to learn from past mistakes, identify recurring patterns, and develop more robust safeguards and ethical guidelines for AI system design and deployment.