Wayne Holmes,
Kaska Porayska-Pomsta
Taylor & Francis
1e druk, 2022
9780367349721
Ethics of Artificial Intelligence in Education
Practices, Challenges, and Debates
Specificaties
Paperback, 288 blz.
|
Engels
Taylor & Francis |
1e druk, 2022
ISBN13: 9780367349721
Rubricering
Levertijd ongeveer 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9780367349721
Trefwoorden:ethiek, Kunstmatige intelligentie, Artificiële intelligentie
Taal:Engels
Bindwijze:paperback
Aantal pagina's:288
Uitgever:Taylor & Francis
Druk:1
Verschijningsdatum:11-8-2022
Hoofdrubriek:IT-management / ICT
Inhoudsopgave
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
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
