The ethics of artificial intelligence in education : practices, challenges, and debates / edited by Wayne Holmes and Kaśka Porayska-Pomsta.
Publisher: New York, NY : Routledge, 2023Description: xxiii, 288 pages : illustrations ; 23 cmContent type:- text
- unmediated
- volume
- 9780367349721
- 23 371.334 Et37 2023
- LB1028.43 .E75 2023
Item type | Current library | Collection | Call number | Status | Barcode | |
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Senior High School Library General Circulation Section | GC | GC 371.334 Et37 2023 (Browse shelf(Opens below)) | Available | SHS000830 |
Browsing Senior High School Library shelves, Shelving location: General Circulation Section, Collection: GC Close shelf browser (Hides shelf browser)
GC 371.252 R54 2023 Strategies for differentiating instruction : best practices for the classroom / | GC 371.3 Si64 2015 Opening doors to equity : | GC 371.30281 M45 2019 How to be a successful student : | GC 371.334 Et37 2023 The ethics of artificial intelligence in education : practices, challenges, and debates / | GC 371.3344678 C83 2017 Going Google : | GC 371.9 V46 2016 RTI in the common core classroom : | GC 371.9 V46 2020 Strategies for teaching students with learning and behavior problems / |
Includes bibliographical references and index.
Learning to learn differently
Educational research and AIED: Identifying ethical challenges
AI in education: An opportunity riddled with challenges
Student-centred requirements for the ethics of AI in education
Pitfalls and pathways for Trustworthy Artificial Intelligence in education
Equity and Artificial Intelligence in education
Algorithmic fairness in education
Beyond "fairness": structural (in)justice lenses on AI for education
The overlapping ethical imperatives of human teachers and their Artificially Intelligent assistants
Integrating AI ethics across the computing curriculum
Conclusions: toward ethical AIED
"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"-- Provided by publisher.
Senior High School All Strand
English
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