AI Incident Reporting

The process and system for documenting and communicating failures, harms, near-misses and unexpected behaviours of AI systems to relevant stakeholders and authorities.

A formal process for documenting when AI goes wrong; unexpected outputs, harmful decisions, system failures. Like incident reports in healthcare or aviation, creating a record to learn from.

Incident reporting is essential for learning from AI failures and improving governance over time. Your framework should define what constitutes a reportable incident, who is responsible for reporting and how incidents are investigated and resolved.