GenAI in Higher Education
Ethical Frontiers, Challenge and Sustainable Pathways
- 1st Edition - July 1, 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
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
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
1. Ethical Considerations for Teaching and Learning with Generative AI: the ethical implications of using generative AI in teaching and learning, including issues of academic integrity, bias, and fairness
2. Governance and Policy Frameworks for Responsible AI in Higher Education: the development of policies and frameworks for the responsible use of generative AI in higher education, including strategies for mitigating bias and promoting fairness
3. Human-Centered and Responsible AI in Education: the importance of human-centered and responsible AI in education, including the need for transparency, accountability, and inclusivity
4. Navigating the Ethical Terrain of AI in Higher Education: explores the ethical challenges and opportunities presented by generative AI in higher education, including issues of bias, fairness, and academic integrity
5. The Impact of Generative AI on Academic Integrity and Educational Policy: examines the implications of generative AI on academic integrity and educational policy, including strategies for promoting academic honesty and preventing plagiarism
6. Responsible AI for Employability and Educational Outcomes: discusses the role of responsible AI in promoting employability and educational outcomes, including the need for skills development and lifelong learning
7. Generative AI and the Future of Higher Education: explores the potential of generative AI to transform higher education, including opportunities for innovation, accessibility, and equity
8. Ethical AI for Teaching and Learning in Higher Education: focuses on the development of ethical AI systems for teaching and learning in higher education, including strategies for promoting fairness, transparency, and accountability
9. Navigating the Ethics of Generative AI in Online and Blended Learning: examines the ethical implications of using generative AI in online and blended learning environments, including issues of accessibility, equity, and inclusivity
10. Global Perspectives on the Ethics of Generative AI in Higher Education: the global perspective on the ethics of generative AI in higher education, including comparative analyses of policies, practices, and challenges across different regions and countries
2. Governance and Policy Frameworks for Responsible AI in Higher Education: the development of policies and frameworks for the responsible use of generative AI in higher education, including strategies for mitigating bias and promoting fairness
3. Human-Centered and Responsible AI in Education: the importance of human-centered and responsible AI in education, including the need for transparency, accountability, and inclusivity
4. Navigating the Ethical Terrain of AI in Higher Education: explores the ethical challenges and opportunities presented by generative AI in higher education, including issues of bias, fairness, and academic integrity
5. The Impact of Generative AI on Academic Integrity and Educational Policy: examines the implications of generative AI on academic integrity and educational policy, including strategies for promoting academic honesty and preventing plagiarism
6. Responsible AI for Employability and Educational Outcomes: discusses the role of responsible AI in promoting employability and educational outcomes, including the need for skills development and lifelong learning
7. Generative AI and the Future of Higher Education: explores the potential of generative AI to transform higher education, including opportunities for innovation, accessibility, and equity
8. Ethical AI for Teaching and Learning in Higher Education: focuses on the development of ethical AI systems for teaching and learning in higher education, including strategies for promoting fairness, transparency, and accountability
9. Navigating the Ethics of Generative AI in Online and Blended Learning: examines the ethical implications of using generative AI in online and blended learning environments, including issues of accessibility, equity, and inclusivity
10. Global Perspectives on the Ethics of Generative AI in Higher Education: the global perspective on the ethics of generative AI in higher education, including comparative analyses of policies, practices, and challenges across different regions and countries
- Edition: 1
- Latest edition
- Published: July 1, 2026
- Language: English
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