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.
Table of Contents
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 fairness2. 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
