Algorithmic Hiring Bias
Algorithmic Hiring Bias is a systematic error in hiring outcomes arising from the design, data, or deployment of algorithmic decision-making systems that disproportionately disadvantages certain demographic groups, thereby perpetuating or amplifying existing social inequities in employment practices.
22
Publications
1.8K
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41
Authors
26
Institutions
Publications per year
2017–2026
21
Parents
22
Mitigating bias in algorithmic hiring
Manish Raghavan, Solon Barocas, Jon Kleinberg et al. · 2020 · 633 citations · Full text
Challenging Biased Hiring Algorithms
Aislinn Kelly‐Lyth · Oxford Journal of Legal Studies · 2021 · 98 citations
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26

Cornell University
Ithaca, United States
2 h-index
8 publications
3.1K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
773 citations

Internet Society
Fredericksburg, United States
2 h-index
2 publications
125 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
14 citations

University of Essex
Colchester, United Kingdom
1 h-index
1 publications
80 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
50 citations
Leiden University
Leiden, The Netherlands
1 h-index
2 publications
154 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
118 citations
1–8 of 26
Repository · 2 publications · 175 citations
2
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2 publications · 115 citations
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Repository · 2 publications · 125 citations
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1 publications · 118 citations
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AIEJ · 1 publications · 17 citations
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