An AI governance maturity model measures governance practices across data, process, and people.
- •Five levels (Ad Hoc to Optimized) guide organizations from reactive to adaptive governance
- •80% of organizations claim AI governance, but fewer than half demonstrate measurable maturity
- •Five dimensions: Strategy & Leadership, Policy & Ethics, Risk Management, Data Governance, Monitoring & Observability
- •Model inventory with data lineage and NIST AI RMF form the foundation for mature governance
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