Fairness
Fairness is a normative construct in algorithmic systems that specifies criteria for equitable treatment and allocative justice, distinguishing itself from related ethical principles by focusing on the absence of discriminatory bias in automated decision-making processes with respect to sensitive attributes such as race, gender, or socioeconomic status.
6.2K
Publications
420.7K
Citations
14.3K
Authors
3.1K
Institutions
Publications per year
2017–2026
2.8K
6.2K
How to generate and exchange secrets
Andrew Chi-Chih Yao · 1986 · 3.7K citations
Cynthia Dwork, Moritz Hardt, Toniann Pitassi et al. · 2012 · 3.4K citations
Charging and rate control for elastic traffic
F. P. Kelly · European Transactions on Telecommunications · 1997 · 3K citations · Full text
1–5 of 6.2K
14.3K
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Max Planck Institute for Software Systems, Germany
24 publications · 2.7K citations
20
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15
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1–5 of 14.3K
3.1K
Carnegie Mellon University
Pittsburgh, United States
46 h-index
166 publications
19.6K citations
University of Oxford
Oxford, United Kingdom
36 h-index
136 publications
14.4K citations
University College London
London, United Kingdom
34 h-index
101 publications
9K citations
University of Illinois Urbana-Champaign
Urbana, United States
34 h-index
106 publications
7.8K citations
Stanford University
Stanford, United States
33 h-index
94 publications
10.3K citations
University of Maryland, College Park
College Park, United States
33 h-index
121 publications
7.7K citations
University of California, Berkeley
Berkeley, United States
33 h-index
117 publications
10.5K citations
Harvard University
Cambridge, United States
32 h-index
92 publications
10.8K citations
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Repository · 298 publications · 13.3K citations
49
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97 publications · 7.8K citations
42
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100 publications · 4.5K citations
40
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Repository · 140 publications · 5.2K citations
38
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TON · 52 publications · 9.7K citations
37
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