AI Feedback Is Not Learning: Governing Memory and Model Updates
TL;DR AI agent memory governance begins by separating feedback from permission to change future behavior. A corrected response, a stored incident memory, a revised runbook, and updated model weights are different change mechanisms. Each needs an appropriate owner, evaluation method, release boundary, and recovery path. Preserve what happened before deciding what it teaches. Then test … Explore: AI Feedback Is Not Learning: Governing Memory and…