AI incident response · ODA3 Institute
AI-IRF™ v1.0AI Incident Response Framework
A response lifecycle for AI incidents that preserves evidence, authority, traceability, and bounded conclusions.
Open the authoritative framework ↗Architecture context
From institutional framework to operational practice.
My work on AI-IRF™ focuses on translating AI incident-management requirements into accountable response stages, decision points, evidence artefacts, and traceable closure conditions.
AI-IRF™ provides an operational lifecycle for preparing for, detecting, analysing, containing, recovering from, and learning from AI incidents. It complements UAIF™: classification establishes a consistent incident record; response coordinates what authorized teams do next.
- 01Preparation
- 02Detection
- 03Analysis
- 04Containment and recovery
- 05Learning and closure