Governing AI in Higher Education
Leadership, Shared Governance, and Institutional Accountability
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Beschreibung
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.
Viktor Wang is Professor of Educational Leadership and Technology at California State University, San Bernardino, USA. An internationally recognized scholar, he has authored and edited more than 270 peer-reviewed publications, including over 80 refereed books. His research focuses on educational leadership, lifelong learning, career and technical education, and artificial intelligence in higher education.
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.
Provides conceptual foundations, practical frameworks, governance considerations, and actionable recommendations Presents a comprehensive governance framework rather than a technology-centered discussion Addresses a growing need for evidence-informed guidance on how institutions can move beyond fragmented AI initiatives
Autor*in
Viktor Wang
Themen in »Governing AI in Higher Education«
educational leadership artificial intelligence institutional accountability institutional governance accountability frameworks higher education governance