Future-Proofing Institutional Policies for Generative AI in Higher Education, (Paperback)

Artificial intelligence (AI) has had a transformative role in higher education and academia across the globe. Since AI tools became widely available to the public, generative AI has become embedded in nearly every facet of the higher education system, often creating more concern than clarity for institutions and educators. Universities are now confronting critical questions surrounding authorship, academic integrity, assessment, data governance, and equity in ways never experienced. While some institutions have begun experimenting with AI guidelines and institutional frameworks, many are still navigating this rapidly evolving landscape without cohesive, future-oriented policies. As AI continues to solidify its place within higher education, there remains a pressing need for critical, policy-driven research that offers meaningful guidance for educators and policymakers. Future-Proofing Institutional Policies for Generative AI in Higher Education explores how higher education institutions can proactively and responsibly adapt to the new reality of AI adoption. Bridging interdisciplinary research from education, technology, ethics, and policy studies, this book articulates principles and models for future-proofing institutions in an AI-driven era. Covering topics such as AI-dependent learners, monolithic deployment, and cognitive offloading, this book is an indispensable academic resource for graduate and doctoral students, university administrators, academic boards, educational technologists, digital transformation officers, accreditation bodies, EdTech organizations, policymakers, and more.

• Future-Proofing Institutional Policies for Generative AI in Higher Education, (Paperback)
• Author: Matthew Montebello
• ISBN: 9798337370354
• Format: Paperback
• Publication Date: 2026-11-03
• Page Count: 0