AI governance board reporting
AI Governance Board Reporting
Board reporting should translate AI governance into decision-useful information: material use cases, key risks, gaps, remediation status, and evidence readiness.
What boards need
Boards do not need every technical detail. They need a clear view of exposure, ownership, risk level, unresolved gaps, and management action.
Useful report elements
A concise AI governance report can include score trends, domain gaps, high-risk vendors, model-risk issues, privacy concerns, and upcoming remediation milestones.
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