The ethics of artificial intelligence in education : practices, challenges, and debates /

"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, schoo...

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Bibliographic Details
Group Author: Holmes, Wayne, 1959- (Editor); Porayska-Pomsta, Kaska (Editor)
Published: Routledge, Taylor & Francis Group,
Publisher Address: New York, NY :
Publication Dates: 2023.
Literature type: Book
Language: English
Subjects:
Summary: "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"--
Carrier Form: xxiii, 288 pages : illustrations ; 24 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9780367349714
036734971X
9780367349721
0367349728
Index Number: LB1028
CLC: G434-05
Call Number: G434-05/E843
Contents: Learning to learn differently / Jutta Treviranus -- Educational research and AIED: identifying ethical challenges / Alison Fox -- AI in education: an opportunity riddled with challenges / Ivana Bartoletti -- Student-centred requirements for the ethics of AI in education / Lionel Brossi, Ana María Castillo and Sandra Cortesi -- Pitfalls and pathways for Trustworthy Artificial Intelligence in education / Nathalie A. Smuha -- Equity and Artificial Intelligence in education / Kenneth Holstein and Shayan Doroudi -- Algorithmic fairness in education / René F. Kizilcec and Hansol Lee -- Beyond "fairness": structural (in)justice lenses on AI for education / Michael Madaio, Su Lin Blodgett, Elijah Mayfield and Ezekiel Dixon-Román -- The overlapping ethical imperatives of human teachers and their Artificially Intelligent assistants / Benedict Du Boulay -- Integrating AI ethics across the computing curriculum / Iris Howley, Darakhshan Mir and Evan Peck -- Conclusions: toward ethical AIED / Kaśka Porayska-Pomsta and Wayne Holmes.