AI Governance Foundations

Master the foundations of AI Governance through 25 industry-focused chapters covering Responsible AI, enterprise AI risks, governance frameworks, ethics vs compliance, AI lifecycle management, stakeholder accountability, governance maturity models, AI incidents, cross-border data risks, KPIs, executive adoption, and enterprise transformation. Includes real-world case studies, simulations, and the proprietary 7 Pillars of Responsible AI (Durga Framework).