GenAI in Higher Education: Ethical Frontiers, Challenge and Sustainable Pathways: Chandos Information Professional Series
Editat de Upasana Gitanjali Singhen Limba Engleză Paperback – iul 2026
- 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 illustrate successful implementations of generative AI and highlight best practices, challenges faced, and lessons learned
- Includes practical tools and templates for creating governance policies around AI use in education, focusing on mitigating bias, ensuring transparency, and promoting fairness
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Specificații
ISBN-13: 9780443367755
ISBN-10: 0443367752
Pagini: 350
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Chandos Information Professional Series
ISBN-10: 0443367752
Pagini: 350
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Seria Chandos Information Professional Series
Cuprins
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