The Ethics of Artificial Intelligence in Education Practices, Challenges, and Debates

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. 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 “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 Conclusions: Toward ethical AIED Index