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Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates [Kietas viršelis]

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  • Formatas: Hardback, 288 pages, aukštis x plotis: 229x152 mm, weight: 589 g, 3 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Išleidimo metai: 11-Aug-2022
  • Leidėjas: Routledge
  • ISBN-10: 036734971X
  • ISBN-13: 9780367349714
Kitos knygos pagal šią temą:
Ethics of Artificial Intelligence in Education: Practices, Challenges, and DebatesDidesnis paveikslėlis
  • Formatas: Hardback, 288 pages, aukštis x plotis: 229x152 mm, weight: 589 g, 3 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
  • Išleidimo metai: 11-Aug-2022
  • Leidėjas: Routledge
  • ISBN-10: 036734971X
  • ISBN-13: 9780367349714
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780367349714.html
Raktažodžiai:
"The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasinglybeing implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning"--

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.



The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts.

Recenzijos

"Pursuing educational AI along more ethical lines requires considerable time and effort, and a considerable amount of deliberation, debate, dialogue, and consensus building. All of this implies replacing ambitions of scaling-up with a commitment to slowing-down. This book takes a great initial step in the right direction." Neil Selwyn, Distinguished Professor in the Faculty of Education, Monash University, Australia, from his foreword

"This book contributes importantly to inform and sensibilize readers towards encoding ethics in the AI used in education, at times challenging the status quo, as well as current pedagogical and technological practices." Gabriela Ramos, Assistant Director-General for Social and Human Sciences, UNESCO, from her foreword

List of illustrations
vii
Acknowledgements ix
Foreword 1 x
Foreword 2 xii
List of contributors
xviii
Introduction 1(20)
PART 1 Introduction to Part I
21(126)
Wayne Holmes
Kaska Porayska-Pomsta
1 Learning to learn differently
25(22)
Jutta Treviranus
2 Educational research and AIED: Identifying ethical challenges
47(27)
Alison Fox
3 AI in education: An opportunity riddled with challenges
74(17)
Ivana Bartoletti
4 Student-centred requirements for the ethics of AI in education
91(22)
Lionel Brossi
Ana Maria Castillo
Sandra Cortesi
5 Pitfalls and pathways for Trustworthy Artificial Intelligence in education
113(34)
Nathalie A. Smuha
PART 2 Introduction to Part II
147(124)
Kaska Porayska-Pomsta
Wayne Holmes
6 Equity and Artificial Intelligence in education
151(23)
Kenneth Holstein
Shayan Doroudi
7 Algorithmic fairness in education
174(29)
Rene F. Kizilcec
Hansol Lee
8 Beyond "fairness": Structural (in)justice lenses on AI for education
203(37)
Michael Madaio
Su Lin Blodgett
Eluah Mayfield
Ezekiel Dixon-Roman
9 The overlapping ethical imperatives of human teachers and their Artificially Intelligent assistants
240(15)
Benedict Du Boulay
10 Integrating AI ethics across the computing curriculum
255(16)
Iris Howley
Darakhshan Mir
Evan Peck
Conclusions: Toward ethical AIED 271(11)
Kaska Porayska-Pomsta
Wayne Holmes
Index 282
Wayne Holmes teaches Learning Sciences and Innovation in the Institute of Education at University College London, UK, and is Consultant on AI and Education for the International Research Centre for Artificial Intelligence (IRCAI), UNESCO, and The Council of Europe.

Kaka Porayska-Pomsta is Professor of Artificial Intelligence in Education at the Department of Culture Communication and Media in the Faculty of Education at University College London, UK.