GenAI in Higher Education

Nyhet

Ethical Frontiers, Challenge and Sustainable Pathways

Häftad, Engelska, 2026

1 539 kr

Kommande

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

Produktinformation

Utgivningsdatum2026-07-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieChandos Information Professional Series
Antal sidor350
FörlagElsevier Science
ISBN9780443367755

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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

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 fairness3. Human-Centered and Responsible AI in Education: the importance of human-centered and responsible AI in education, including the need for transparency, accountability, and inclusivity4. 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 integrity5. 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 plagiarism6. 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 learning7. Generative AI and the Future of Higher Education: explores the potential of generative AI to transform higher education, including opportunities for innovation, accessibility, and equity8. 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 accountability9. 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 inclusivity10. 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