Causal Fairness
Causal Fairness is a formal framework in algorithmic fairness that belongs to the class of fairness definitions based on causal reasoning, distinguished by its explicit modeling of cause-effect relationships to assess and ensure fairness through interventions on sensitive attributes in structural causal models.
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3.4K
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106
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65
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2017–2026
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Fairness testing: testing software for discrimination
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou · 2017 · 398 citations · Full text
Babak Salimi, Luke Rodriguez, Bill Howe et al. · 2019 · 144 citations · Full text
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Quantitative BioSciences
Solana Beach, United States
2 h-index
2 publications
45 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
66 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
479 citations
University of Oxford
Oxford, United Kingdom
2 h-index
4 publications
183 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
2 publications
45 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
138 citations
Vector Institute
Toronto, Canada
2 h-index
2 publications
22 citations

Pennsylvania State University
State College, United States
2 h-index
6 publications
306 citations
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Repository · 11 publications · 354 citations
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Conference · 2 publications · 248 citations
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1 publications · 18 citations
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Conference · 1 publications · 28 citations
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1 publications · 28 citations
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