AI Incident Database

The AI Incident Database, maintained by the Partnership on AI, is a repository of documented cases where AI systems caused harm or behaved in unexpected ways in real-world deployments. As of 2024 it contains over 700 incidents. The database is searchable by harm type, affected population, deployer, and AI system type. AICI regards it as an essential reference for AI risk assessment — not because every incident is equally serious, but because the database provides the empirical foundation for claims about AI risk that would otherwise rely on hypothetical scenarios. Before conducting an AI risk assessment, review the incident database for the deployment context you are assessing.

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