Generative AI in Higher Education: Ethical Governance, Skills, and Employability

Volume 2
1. Auflage 2026
ISBN: 978-1-032-81798-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 312 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 453 g

Reihe: CRC Press Reference Books in Computer Science

Building upon the foundational principles established in the first volume, this second volume of Generative AI in Higher Education advances the debate on AI beyond theoretical frameworks toward concrete institutional practice. Where the first volume developed guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, this volume introduces original, research-informed frameworks that redefine employability as an ethical, adaptive, and human-centred practice. It presents distinctive models including Skills Dynamics, the Justice–Responsibility Framework for Human Flourishing, and the AI Dialogic Partner frameworks that move decisively from principles to practice.

The book integrates ethical governance, curriculum design, and skills formation through actionable models such as the Double ERL Framework (Ethical Regulation Literacy and Ethical Reflexive Learning), the ERL Justice Framework, and the Institutional AI Stewardship Lab (IASL) model. Uniquely combining philosophical depth with policy relevance, it bridges global and local perspectives—drawing on UNESCO, OECD, and regional policy frameworks—to address the ethical, social, and regulatory dimensions of AI in higher education. The volume includes comprehensive international policy analysis, diverse global case studies, and practical tools that transform conceptual exploration into implementable guidance.

Generative AI in Higher Education: Ethical Governance, Skills, and Employability serves as essential reading for university leaders, policymakers, educators, and employers seeking to align AI innovation with justice, inclusion, and sustainability. Its practical frameworks and transparency principles empower institutions to position education not merely as a response to technological change but as a transformative force for human flourishing, providing both scholarly contribution and actionable roadmap for embedding ethical AI in higher education practice.

Zielgruppe

Postgraduate, Professional Practice & Development, Professional Reference, Professional Training, and Undergraduate Advanced

Autoren/Hrsg.

Nartey, Emmanuel K

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Sozialwissenschaften Pädagogik Pädagogik Bildungswesen: Organisation und Verwaltung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Introduction

Chapter 1: What Generative AI: The Discourse

Chapter 2: Literature Review in Higher Education
Chapter 3 Generative AI and Employability
Chapter 4: The Guiding Principles at UK Higher Education
Chapter 5: How to Use GenAI in Teaching and Learning

Über Autor(innen)

Emmanuel K Nartey is a Reader (Associate Professor) in International Law and Artificial Intelligence. He holds extensive academic and professional experience across international legal practice and AI governance. His work focuses on ethical technology, global regulation, and advancing human rights within emerging digital societies.