Most AI Audits today are dangerously polite.
They check policies, diagrams, and model cards, then conclude the system is “under control.”
But real risk rarely lives in documents. It lives in behavior.
An AI system can pass every checklist and still fail in production because no one audited how decisions propagate, where humans stop questioning, or how edge cases are silently normalized over time.
AI Audit is not a compliance exercise.
It is an inquiry into power, delegation, and erosion of judgment.
If your audit never asks:
– Where does human authority truly end?
– Which decisions have become invisible because “the model usually works”?
– What failures would go unnoticed for months?
Then you’re not auditing AI.
You’re auditing comfort.