Research Essay9 min readDraft
AI governance has no shortage of principles. What it often lacks is memory: a shared way to record incidents, compare failures, track recurrence, and learn across institutions.
Incident governance needs more than a disclosure form. It needs severity thresholds, evidence standards, reviewer roles, timelines, and feedback loops that turn failure into institutional learning.
Without memory, every incident is treated as exceptional. With memory, governance can become cumulative.
Governance improves when institutions remember what failed.
AI incidentsGovernanceInstitutional memory
