GenAI in Higher Education

Ethical Frontiers, Challenge and Sustainable Pathways

Upasana Gitanjali Singh

• Publisher: Elsevier
• Year: 2026
• Topic: Languages & Linguistics
• eBook ISBN:
  9780443367762
• Subtopic: Library & Information Science
• Index: Languages & Linguistics

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. - 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

Table of contents

• Title of Book
• Chapter 1. Reimagining academic publications: A meta-model for scholarly writing with large language models
• Chapter 2. Embedding ethical generative AI in higher education: Applying FAIRSPOT and TPACK-AI integrator frameworks
• Chapter 3. Applications, challenges and opportunities of AI integration in STEM education
• Chapter 4. Navigating the dark side of AI in academia: Case studies and strategies for ethical safeguards
• Chapter 5. AI-assisted learning in research education: Considerations for ethical integration of digital pedagogy to develop and refine research problem statements
• Chapter 6. Artificial intelligence in higher education: Insights from a bibliometric perspective
• Chapter 7. The international AI talent pipeline: How US historically black colleges and universities can promote African workforce development
• Chapter 8. Befriending the technological hydra: Ethical AI navigation in teacher education
• Chapter 9. Bridging policy and practice in competency-based education—aligning with education agenda 2030
• Chapter 10. How can AI literacy work in tandem with decolonization efforts to produce more equitable educational outcomes?
• Chapter 11. Human-centered and responsible AI: emphasizing transparency, accountability, and inclusivity in educational systems
• Chapter 12. Generative AI in curriculum design: Advancing or undermining decolonization efforts?
• Chapter 13. The value of oral assessments in a postplagiarism era
• Chapter 14. Global perspectives on generative AI in higher education: Comparative analysis of ethical adoption, policy, and stakeholder roles
• Chapter 15. Rethinking assessment in the age of AI: Towards authentic and AI-resilient practices
• Chapter 16. Ethical challenges of generative AI in academia: Addressing misuse through policy and practice
• Chapter 17. The African technological puzzle: Decolonization, AI and education
• Chapter 18. Socially responsive teaching strategies and AI: Three academic developers' insider perspectives
• Chapter 19. The perks and perils of artificial intelligence on the digital divide
• Chapter 20. Redefining instructor roles and responsibilities in the era of generative AI
• Chapter 21. A synthesis of the applications and implications of AI in STEM education—Scope for the future
• Chapter 22. A framework to enhance ethical generative artificial intelligence use in academia
• Chapter 23. An ethical code of conduct: Inculcating Gen-AI ethics into the everyday learner
• Chapter 24. From tutor to test: A new framework for AI literacy that preserves critical thinking
• Chapter 25. Mind the gap: Practice-based insights on bridging the digital divide through accessible and intentional generative artificial intelligence integration
• Chapter 26. Ethical integration of generative AI (GAI) in higher education
• Index