Group Fairness
Group Fairness is a fairness criterion in algorithmic decision-making that, as a member of the class of fairness metrics, requires that outcomes or predictions be statistically comparable across predefined sensitive groups to ensure equitable treatment or impact.
353
Publications
24.9K
Citations
811
Authors
348
Institutions
Publications per year
2017–2026
241
353
Cynthia Dwork, Moritz Hardt, Toniann Pitassi et al. · 2012 · 3.4K citations
Rich Zemel, Yu Wu, Kevin Swersky et al. · 2013 · 1K citations
Fairness in Criminal Justice Risk Assessments: The State of the Art
Richard A. Berk, Hoda Heidari, Shahin Jabbari et al. · Sociological Methods & Research · 2018 · 992 citations
Fairness theory: Justice as accountability.
Robert Folger, Russell Cropanzano · 2001 · 601 citations
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348

Cornell University
Ithaca, United States
11 h-index
18 publications
1.9K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
23 publications
1.8K citations

Harvard University Press
Cambridge, United States
9 h-index
15 publications
1.3K citations
University of Michigan
Ann Arbor, United States
9 h-index
15 publications
426 citations
University of Oxford
Oxford, United Kingdom
9 h-index
16 publications
684 citations
Max Planck Institute for Software Systems
Saarbrücken, Germany
8 h-index
24 publications
1.8K citations
National University of Singapore
Singapore, Singapore
8 h-index
17 publications
408 citations
University of California, Berkeley
Berkeley, United States
8 h-index
14 publications
1K citations
1–8 of 348
Repository · 52 publications · 3K citations
24
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Conference · 11 publications · 450 citations
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EJSP · 9 publications · 409 citations
9
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Repository · 9 publications · 244 citations
9
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Repository · 7 publications · 751 citations
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