Why AI decisions need audit logs
Answer:
Audit logs capture inputs, outputs, versions, and approvals so decisions are traceable, reviewable, and defensible.
The full story
If you can’t reconstruct what happened, you can’t debug it—or defend it.
Practical guidelines
- Log inputs, outputs, and tool calls.
- Store model/version and confidence.
- Record approvals, overrides, and who acted.
A good rule: start conservative, measure outcomes, then expand autonomy where the data supports it.