Algorithmic Bias
Algorithmic Bias is a systematic and unfair distortion in the outputs of an algorithmic system that results from the design, data, or deployment context, thereby differentiating it from general computational errors or statistical inaccuracies by its ethical and societal implications in decision-making processes.
440
Publications
45.4K
Citations
1.4K
Authors
646
Institutions
Publications per year
2017–2026
418
Variants
Algorithmic Discrimination
Parents
440
Solon Barocas, Andrew D. Selbst · SSRN Electronic Journal · 2016 · 2.1K citations · Full text
Batya Friedman, Helen Nissenbaum · ACM Transactions on Information Systems · 1996 · 1.1K citations · Full text
Addressing Bias in Artificial Intelligence in Health Care
Ravi B. Parikh, Stephanie Teeple, Amol S. Navathe · JAMA · 2019 · 766 citations
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646
Carnegie Mellon University
Pittsburgh, United States
12 h-index
28 publications
3.1K citations

Cornell University
Ithaca, United States
10 h-index
21 publications
6.2K citations
Stanford University
Stanford, United States
10 h-index
12 publications
1.2K citations
University of Michigan
Ann Arbor, United States
10 h-index
12 publications
1.4K citations
New York University
New York, United States
10 h-index
14 publications
936 citations
University of Oxford
Oxford, United Kingdom
10 h-index
22 publications
1.8K citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
14 publications
1.7K citations
University of Pennsylvania
Philadelphia, United States
9 h-index
17 publications
12K citations
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Repository · 22 publications · 3.4K citations
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Repository · 22 publications · 904 citations
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6 publications · 761 citations
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4 publications · 223 citations
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4 publications · 328 citations
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