Post-incident reviews and corrective action governance refer to the structured process of analyzing incidents after they occur, identifying root causes, and implementing measures to prevent recurrence. This approach ensures accountability, continuous improvement, and adherence to organizational policies. Governance involves oversight and monitoring of corrective actions to verify their effectiveness, track progress, and maintain compliance with regulatory or internal standards, ultimately enhancing overall operational resilience and safety.
Post-incident reviews and corrective action governance refer to the structured process of analyzing incidents after they occur, identifying root causes, and implementing measures to prevent recurrence. This approach ensures accountability, continuous improvement, and adherence to organizational policies. Governance involves oversight and monitoring of corrective actions to verify their effectiveness, track progress, and maintain compliance with regulatory or internal standards, ultimately enhancing overall operational resilience and safety.
What is a post-incident review in AI model governance?
A structured retrospective analysis of AI-related incidents after they occur, aimed at identifying what happened, why it happened, and how to prevent recurrence, with documentation for accountability.
What is root cause analysis and why is it important?
A method to uncover the fundamental underlying causes of an incident (not just symptoms). It helps design effective fixes and reduce the chance of recurrence.
What is corrective action governance and what does it include?
A framework to define, approve, implement, and verify actions that address root causes, assign ownership, set timelines, track progress, and ensure alignment with organizational policies.
What are the typical steps in a post-incident review for AI systems?
Detect/contain the incident; collect data; perform root cause analysis; design corrective actions; implement and verify effectiveness; and document learnings to inform policy updates.