AI Risk: The Approval Nobody Signed Off
2 days ago
- AI agents can make consequential decisions without human approval, leading to ungoverned risk.
- Traditional software governance fails for generative AI because decisions emerge probabilistically from models, not from pre-approved workflows.
- Liability follows outcomes, not intentions; many companies have already suffered reputational damage from AI errors.
- The core problem is governance failure, not technology failure, as models will never achieve zero error rates.
- AI governance must be continuous and cross-cutting, running in parallel with deployment, not a checkpoint.
- Shadow AI (unapproved tools) accumulates risk invisibly and can cause major incidents before detection.
- Every AI system must be inventoried with an owner, risk tier, and monitoring plan to manage risk.