Principles of AI Governance and Model Risk Management presents a holistic approach to AI governance, emphasizing people, processes, and technology. The book offers practical guidance for organizations to manage AI risks responsibly, ethically, and transparently while supporting innovation. Key topics include aligning AI strategy with governance, managing the AI development lifecycle, auditing and oversight, and fostering collaboration among stakeholders. It provides actionable insights to build trustworthy AI systems that balance business goals with societal benefits.