AI governance guide
Generative AI Risk Management
A practical guide to generative AI risk management for leaders covering data, hallucination, bias, vendors, policies and oversight.
Guide
Practical board-level starting point.
Generative AI risk management starts with knowing where the tools are used and what they are allowed to do. Hidden usage creates hidden risk.
Common risks include confidential data exposure, inaccurate outputs, biased recommendations, copyright concerns, vendor dependency and over-reliance on automated drafting.
Good controls include approved tools, staff training, human review, vendor assessment, output checking, incident reporting and regular board-level reporting for material use cases.
Next steps
Turn the guide into action.
Board AI Readiness Scorecard · AI Use Case Risk Classifier · AI Policy Generator