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- Autorius: Clara Hawking, Darren Coxon
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 216
- ISBN-10: 1041120907
- ISBN-13: 9781041120902
- Kalba: Anglų
Atsiliepimai
Aprašymas
Ethical AI and Education: Reality, Opportunities, Governance, and Consequences of AI in the Classroom examines how artificial intelligence is entering schools and what responsible use requires from educators, leaders, and policymakers. It moves beyond claims of inevitable transformation to ask how decisions about AI are made, who holds responsibility, and what is at stake when educational judgment is shaped by automated systems.
The book develops a governance-based approach to artificial intelligence in education, grounded in ethics, law, and institutional practice. It addresses core issues including bias, datafication, academic integrity, teacher agency, and global inequality, while placing recent developments such as generative AI within a longer trajectory of educational technology. Drawing on international frameworks, including the European Union Artificial Intelligence Act, it provides practical guidance for schools seeking to implement AI in ways that are lawful, accountable, and educationally meaningful. The central argument is that ethical AI in education depends not on tools alone, but on structures of oversight, professional judgment, and institutional responsibility.
For researchers, educators, and policymakers seeking to understand not only how artificial intelligence is entering education, but how it should be governed, this book provides both analysis and direction.
- Autorius: Clara Hawking, Darren Coxon
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 216
- ISBN-10: 1041120907
- ISBN-13: 9781041120902
- Kalba: Anglų
Ethical AI and Education: Reality, Opportunities, Governance, and Consequences of AI in the Classroom examines how artificial intelligence is entering schools and what responsible use requires from educators, leaders, and policymakers. It moves beyond claims of inevitable transformation to ask how decisions about AI are made, who holds responsibility, and what is at stake when educational judgment is shaped by automated systems.
The book develops a governance-based approach to artificial intelligence in education, grounded in ethics, law, and institutional practice. It addresses core issues including bias, datafication, academic integrity, teacher agency, and global inequality, while placing recent developments such as generative AI within a longer trajectory of educational technology. Drawing on international frameworks, including the European Union Artificial Intelligence Act, it provides practical guidance for schools seeking to implement AI in ways that are lawful, accountable, and educationally meaningful. The central argument is that ethical AI in education depends not on tools alone, but on structures of oversight, professional judgment, and institutional responsibility.
For researchers, educators, and policymakers seeking to understand not only how artificial intelligence is entering education, but how it should be governed, this book provides both analysis and direction.
Atsiliepimai