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Building an AI-Ready University: A Holistic Strategy for Higher Education Leaders [Pehme köide]

  • Formaat: Paperback / softback, 198 pages, kõrgus x laius: 229x152 mm, kaal: 390 g, 27 Tables, black and white
  • Ilmumisaeg: 12-Mar-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041142064
  • ISBN-13: 9781041142065
  • Formaat: Paperback / softback, 198 pages, kõrgus x laius: 229x152 mm, kaal: 390 g, 27 Tables, black and white
  • Ilmumisaeg: 12-Mar-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041142064
  • ISBN-13: 9781041142065

Building an AI-Ready University offers step-by-step guidance for higher education leaders and administrators throughout the entire artificial intelligence (AI) adoption cycle—from initial readiness checks and stakeholder interviews to long-term governance, scenario planning, and continuous improvement.

Grounded in design thinking, bottom-up engagement, and scenario-based strategy, this book provides the roadmaps, pilot toolkits, and decision templates necessary to deploy AI responsibly, address real campus challenges, and safeguard institutional integrity. Readers learn to set clear objectives, such as improving student retention, expanding research capacity, or advancing equity, and then select, pilot, evaluate, and refine AI solutions that address these needs without losing sight of academic freedom or ethical standards.

Presidents, provosts, deans, faculty champions, senior administrators, and others will be better prepared to rally stakeholders, mitigate risks, measure impact, and adapt as conditions change.



Building an AI-Ready University offers step-by-step guidance for higher education leaders and administrators throughout the entire artificial intelligence adoption cycle—from initial readiness checks and stakeholder interviews to long-term governance, scenario planning, and continuous improvement.

Arvustused

An invaluable field manual and playbook for colleges and universities coming to terms with the imperative of artificial intelligence. It pairs insight and perspective with checklists, guardrails, and decision templates that hold up under real-world constraints. Use it to move from isolated pilots to enterprise capability across teaching, research, operations, and governance. Rigorous, ethical, and relentlessly practicalrequired reading for anyone charged with making AI work on campus.

Michael M. Crow, President, Arizona State University

AI adoption in higher education is ultimately about peopletrust, capability, and shared purpose. Building an AI-Ready University provides leaders with a humane and practical path: equip faculty and staff, communicate honestly, design small wins, and scale what works. With concrete tools and case studies, it balances urgency with care, and rigor with compassion, so progress strengthens community rather than frays it. This book is a steadying and actionable guide for leaders in a demanding moment.

Beverly Wendland, Former Provost and Executive Vice Chancellor for Academic Affairs, Washington University in St. Louis

This book gives higher education leaders a shared language and practical strategies to take charge of our technology future. It shows us where AI creates value, when it creates risk, and how to manage both through shared governance, data stewardship, and capacity-building. Pragmatic, equity-minded, and actionable, it helps institutions move fast without breaking faith with their mission.

Dr. Charlton McIlwain, Vice Provost at NYU, Author of Black Software

About the Author Preface Acknowledgments
Chapter 1: Understanding the
Imperative of AI in Higher Education
Chapter 2: Establishing Your Baseline
Through Interviews and Focus Groups
Chapter 3: Crafting a Strategic AI Plan
with Design Thinking
Chapter 4: Unifying Infrastructure, Data Governance, and
Ethical Oversight
Chapter 5: Integrating AI into Faculty Development and
Learning Design
Chapter 6: Driving Research and Innovation with AI
Chapter 7:
Sustaining Stakeholder Engagement and Future-Readiness
Chapter 8: Final
Thoughts
Ruopeng An advances the responsible use of artificial intelligence to reduce health disparities and social inequities. He holds the Constance and Martin Silver Endowed Professorship in Data Science and Prevention at New York University and directs the Constance and Martin Silver Center on Data Science and Social Equity. His research has been supported by federal agencies and public/private partners, including OpenAI and Amgen.