The Ethics of Artificial Intelligence in Education
Practices, Challenges, and Debates
1st Edition
Published on 11. August 2022
Book
Paperback/Softback
288 pages
978-0-367-34972-1 (ISBN)
Description
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.
Reviews / Votes
"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
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Illustrations
16 s/w Zeichnungen, 3 s/w Tabellen, 16 s/w Abbildungen
3 Tables, black and white; 16 Line drawings, black and white; 16 Illustrations, black and white
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 17 mm
Weight
457 gr
ISBN-13
978-0-367-34972-1 (9780367349721)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Wayne Holmes | Kaska Porayska-Pomsta
The Ethics of Artificial Intelligence in Education
Practices, Challenges, and Debates
Book
08/2022
1st Edition
Routledge
€206.90
Shipment within 15-20 days
Wayne Holmes | Kaska Porayska-Pomsta
The Ethics of Artificial Intelligence in Education
Practices, Challenges, and Debates
E-Book
08/2022
1st Edition
Routledge
€55.49
Available for download
Wayne Holmes | Kaska Porayska-Pomsta
The Ethics of Artificial Intelligence in Education
Practices, Challenges, and Debates
E-Book
08/2022
1st Edition
Routledge
€55.49
Available for download
Persons
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.
Kaska 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.
Kaska 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.
Content
Part I: Ethics of AI In Education: An Outside Perspective 1. Learning to learn differently 2. Educational research and Artificial Intelligence in education: Identifying ethical challenges 3. AI in education: An opportunity riddled with challenges 4. Student-centered requirements for the ethics of AI in education 5. Pitfalls and pathways for trustworthy Artificial Intelligence in education Part II: Ethics of AI In Education: An Inside Perspective 6. Equity and Artificial Intelligence in education: Will "AIED" amplify or alleviate inequities in education? 7. Algorithmic fairness in education 8. Beyond "Fairness:" Structural (in)justice lenses on AI for education 9. The overlapping ethical imperatives of human teachers and their Artificially Intelligent assistants. 10. Integrating AI ethics across the computing curriculum