Human Oversight, Post-Deployment Monitoring, and Incident Response

What happens after launch: designing human oversight that actually works, catching drift before it becomes harm, governing model changes and logs, running AI incident response against real regulatory clocks, and learning from the world’s incident databases.

Content current as of 2026-09.

Lessons

1. Designing human oversight that survives contact with volume
2. Drift: how models rot, and how monitoring catches it
3. Change governance and the logging backbone
4. AI incident response against real clocks
5. Learning from incidents — and ending systems well