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GenAI in Higher Education

Ethical Frontiers, Challenge and Sustainable Pathways

  • 1st Edition - July 25, 2026
  • Latest edition
  • Editor: Upasana Gitanjali Singh
  • Language: English

GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways fills a critical gap in discussing generative AI’s ethical impact on higher education. With AI adop… Read more

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Description

GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways fills a critical gap in discussing generative AI’s ethical impact on higher education. With AI adoption accelerating, the book provides a resource that offers clear, actionable guidance on implementing AI responsibly, focusing on academic integrity, fairness, and governance. It helps to ensure that AI is a tool for inclusive, transparent, and sustainable learning.

Key features

  • Provides comprehensive frameworks for understanding and navigating the ethical implications of generative AI, offering guidelines that educators, researchers, and administrators can implement within their institutions
  • Includes real-world examples from diverse educational contexts that illustrate successful implementations of generative AI and highlight best practices, challenges faced, and lessons learned
  • Presents practical tools and templates for creating governance policies around AI use in education, focusing on mitigating bias, ensuring transparency, and promoting fairness

Readership

Higher Education Administrators – involved in policy-making, governance, and the integration of AI in academic institutions; Educational Technologists – professionals exploring AI-driven teaching and learning tools; Academics and Researchers – focused on ethics, AI, and its implications in education; EdTech Developers – working on AI solutions for educational purposes; Graduate Students – studying AI, ethics, or educational technology

Table of contents

1. Reimagining Academic Publications: A Meta-Model for Scholarly Writing with Large Language Models

2. Embedding Ethical Generative AI in Higher Education: FAIRSPOT and TPACK-AI Integrator Frameworks

3. Applications, challenges and opportunities of AI integration in STEM education

4. Navigating the Dark Side of AI in Academia: Case Studies and Strategies for Ethical Safeguards

5. Ai-Assisted Learning in Research Education: Considerations for Ethical Integration of Digital Pedagogy to Develop And Refine Research Problem Statements

6. Artificial Intelligence in Higher Education: Insights from a Bibliometric Perspective

7. The International AI Talent Pipeline: How US Historically Black Colleges and Universities Can Promote African Workforce Development

8. Befriending the Technological Hydra: Ethical AI Navigation in Teacher Education

9. Bridging Policy and Practice in Competency-Based Education – Aligning with Educational Agenda 2030

10. How can AI literacy work in tandem with decolonisation efforts to produce more equitable educational outcomes?

11. Human-Centered and Responsible AI: Emphasizing Transparency, Accountability, and Inclusivity in Educational Systems

12. Generative AI in Curriculum Design: Advancing or Undermining Decolonisation Efforts?

13. Appreciating oral assessments “more” in the postplagiarism era

14. Global Perspectives on Generative AI in Higher Education: Comparative Analysis of Ethical Adoption, Policy, and Stakeholder Roles

15. Rethinking Assessment in the Age of AI: Towards Authentic and AI-Resilient Practices

16. Ethical Challenges of Generative AI in Academia: Addressing Misuse Through Policy and Practice

17. The African technological puzzle: Decolonisation, AI, education, equity, and equality

18. Socially responsive teaching strategies and AI: Three academic developers’ insider perspectives

19. The perks and perils of artificial intelligence on the digital divide

20. Redefining Instructor Roles and Responsibilities in the Era of Generative AI

21. A synthesis of the applications and implications of AI in STEM education – Scope for the future

22. A Framework to Enhance Ethical Generative Artificial Intelligence Use in Academia

23. An Ethical Code of Conduct: Inculcating Gen-AI Ethics into the everyday learner

24. From Tutor to Test: A New Framework for AI Literacy That Preserves Critical Thinking

25. Mind the Gap: Practice-Based Insights on Bridging the Digital Divide through Accessible and Intentional Generative Artificial Intelligence Integration

26. Ethical integration of Generative AI (GAI) in higher education

Product details

  • Edition: 1
  • Latest edition
  • Published: July 27, 2026
  • Language: English

About the editor

US

Upasana Gitanjali Singh

Professor Upasana Singh is the Academic Leader and Associate Professor in Information Systems and Technology at the University of KwaZulu-Natal, Durban, and an Adjunct Senior Lecturer at the Victorian Institute of Technology, Australia. With a Ph.D. from the University of South Africa and over 15 years of teaching experience, she specializes in IT-related subjects and Educational Technologies. Professor Singh has an extensive publication record, including books, journal articles, and conference papers, contributing significantly to digital teaching, learning, and assessment. As Chair of the digiTAL2K conference, she promotes global collaboration in educational technologies. Her research, particularly during the pandemic, has been instrumental in guiding online learning transitions, with a focus on quality assurance and gender-specific models. She has received numerous accolades for her leadership and contributions to digital education, including the Distinguished Teachers Award and recognition from ASCILITE’s Women in Academic Leadership initiative
Affiliations and expertise
University of KwaZulu-Natal, South Africa