AI Governance Maturity Models

AI governance is not a static capability. As organizations adopt more AI systems and face evolving regulatory, operational, and ethical challenges, governance programs must mature over time. This lesson explores AI governance maturity models and how organizations assess, benchmark, and improve their governance capabilities. Learners will examine maturity levels, assessment criteria, capability measurement, continuous improvement practices, and governance benchmarking approaches. Understanding governance maturity enables organizations to identify strengths, address weaknesses, prioritize investments, and establish long-term governance strategies that support trustworthy, accountable, and sustainable AI adoption.