  Mature industrial sectors (e.g., aviation) collect their real world failures
in incident databases to inform safety improvements. Intelligent systems
currently cause real world harms without a collective memory of their failings.
As a result, companies repeatedly make the same mistakes in the design,
development, and deployment of intelligent systems. A collection of intelligent
system failures experienced in the real world (i.e., incidents) is needed to
ensure intelligent systems benefit people and society. The AI Incident Database
is an incident collection initiated by an industrial/non-profit cooperative to
enable AI incident avoidance and mitigation. The database supports a variety of
research and development use cases with faceted and full text search on more
than 1,000 incident reports archived to date.
