This book examines how universities can govern artificial intelligence responsibly through effective leadership, shared governance, and institutional accountability. Rather than treating AI as simply a technological innovation, it presents AI as a governance challenge requiring clear decision rights, transparency, human oversight, ethical leadership, and continuous organizational learning. The book provides practical frameworks for presidents, provosts, deans, faculty leaders, policymakers, and governing boards to implement AI while protecting academic quality, institutional trust, and public accountability. It addresses psychological safety, shared governance, administrative accountability, transparency, explainability, data governance, bias and fairness, academic integrity, faculty autonomy, AI-enabled teaching and advising, procurement, vendor management, cybersecurity, and institution-wide implementation strategies. Combining research with practical guidance, this book offers a comprehensive roadmap for building trustworthy, AI-ready institutions while preserving the core values and mission of higher education.