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Cited by 36Ethics and Social Impacts of AIArtificial Intelligence in EducationOnline Learning and Analytics

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Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education

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Fenu, Gianni, Galici, Roberta, Marras, Mirko·2022·Lecture Notes in Computer Science
DOI 10.1007/978-3-031-11644-5_20
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References 19 · Cited by 36

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Metadata

Authors
Fenu, G., Galici, R., & Marras, M.
Affiliations
University of Cagliari (IT)
Corresponding author
Galici, Roberta
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2022
Pages
243-255
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-031-11644-5_20
OpenAlex
W4283830183
Cited by
36
References
19
Citations by year
2026: 7 · 2025: 13 · 2024: 9 · 2023: 6 · 2022: 1
FWCI
7.20
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion, other-oa)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Education › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
algorithmic fairness, algorithmic bias, educational technology, expert opinion, learning data

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CoChat. (2026). Citation check: Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education. https://app.cochat.ai/papers/10.1007/978-3-031-11644-5_20
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Fenu, G., Galici, R., & Marras, M. (2022). Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for Education. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-11644-5_20