What happens when AI is wrong after deployment?
AI failures often begin after deployment, not before it.
This article explains how weak signals, missing escalation paths, and unclear accountability turn model problems into governance failures.
- Weak signals in production
- Behavior drift and live risk
- Intervention and accountability