A dashboard or report card that tracks key metrics (e.g., bias incidents, compliance audits) to measure AI governance effectiveness over time.
Consolidates quantitative KPIs (e.g., average audit findings per model, percentage of projects with ethics sign-off, mean time to incident resolution) and qualitative assessments (board satisfaction, user trust surveys) into a visual scorecard. Scorecards inform governance bodies, expose gaps, and highlight areas for targeted improvement.
A financial-services firm publishes a quarterly AI Governance Scorecard showing: 100% of new models passed privacy-impact assessments; bias incidents dropped by 20%; average incident-resolution time fell from 14 to 7 days - providing the board with clear visibility on governance progress.
