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.
In plain language
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.
Why this matters
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.
Relevance
GovernanceIncident reporting systems are governance processes that enable continuous learning and improvement across AI operations.
Related terms
Putting ai incident reporting into practice in your organisation?
Ready to transform your AI strategy?
Partner with Australia's AI strategy and governance specialists. From adoption roadmaps to ISO 42001 audit readiness.