Governing AI in Higher Education

Leadership, Shared Governance, and Institutional Accountability
Erscheinungsjahr 2027
ISBN: 978-3-032-39687-7
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 463 Seiten, Format (B × H): 148 mm x 210 mm

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.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Viktor

Fachgebiete

• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Bildungspolitik, Bildungsreform
• Sozialwissenschaften Pädagogik Pädagogik Bildungswesen: Organisation und Verwaltung
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen

Inhaltsverzeichnis

Chapter 1: Why Trustworthy AI, Why Now.- Chapter 2: The No-Fear Culture: Psychological Safety as an AI Prerequisite.- Chapter 3: Shared Governance in the Age of AI: Decision Rights and Accountability.- Chapter 4: Administrative Theater vs Responsible Accountability in AI Adoption.- Chapter 5: Trust, Transparency, and Explainability: What Leaders Must Require.- Chapter 6: Data Governance for Higher Education: Privacy, Consent, and Stewardship.- Chapter 7: Bias, Equity, and Fairness: From Policy Language to Measurable Practice.- Chapter 8: Academic Integrity and Assessment: Moving Beyond Detection Politics.- Chapter 9: AI in Teaching and Learning: Standards for Quality, Rigor, and Faculty Autonomy.- Chapter 10: AI for Advising and Student Support: Benefits, Risks, and Guardrails.- Chapter 11: Procurement, Vendors, and Security: Contracting for Trustworthiness.- Chapter 12: Implementation Playbook: Pilots, Metrics That Matter, and Continuous Improvement.

Über Autor(innen)

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.