AI Incident Management
Incident management provides a structured process for identifying, assessing, responding to, documenting, and learning from AI-related incidents.Purpose
Incidents can reveal previously unknown risks, control weaknesses, governance failures, or changes in the operating environment. Incident management connects operational response with governance improvement.Core activities
Incident handling may include:- detection and reporting
- initial assessment
- classification and escalation
- response
- containment or remediation
- evidence preservation
- stakeholder communication
- root-cause analysis
- corrective action
- follow-up review
Governance impact
Significant incidents may trigger reassessment of risk, controls, approval status, monitoring requirements, or intended use.Source
The canonical procedure is maintained in:guidance/02-procedures/08-AIGO-AI-Incident-Management-Procedure-v0.1.md