AI Governance
AI Compliance Questions Boards Are Beginning to Ask
Responsible AI governance requires documented ownership, risk assessment, vendor oversight, and a process for ongoing review.
April 2026 · 6 min read
These practical considerations are intended to help teams organize their approach to complex matters. The appropriate strategy will always depend on the facts, governing rules, and advice of qualified counsel.
Key considerations
- Assign accountable owners for AI use cases and risk decisions.
- Maintain records of system purpose, data use, testing, and human oversight.
- Evaluate vendors and monitor material changes throughout the lifecycle.
This material is provided for general informational purposes only and is not legal, medical, or professional advice.