β Scribed by Wayne Holmes, KaΕka Porayska-Pomsta
No coin nor oath required. For personal study only.
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.
Cover
Half Title
Title Page
Copyright Page
Table of Contents
List of illustrations
Acknowledgements
Foreword 1
Foreword 2
List of contributors
Introduction
PART 1: Introduction to Part I
1. Learning to learn differently
2. Educational research and AIED: Identifying ethical challenges
3. AI in education: An opportunity riddled with challenges
4. Student-centred requirements for the ethics of AI in education
5. Pitfalls and pathways for Trustworthy Artificial Intelligence in education
PART 2: Introduction to Part II
6. Equity and Artificial Intelligence in education
7. Algorithmic fairness in education
8. Beyond βfairnessβ: 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
Conclusions: Toward ethical AIED
Index
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