GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways fills a critical gap in discussing generative AIs 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.
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
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 ASCILITEs Women in Academic Leadership initiative
