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“Provably fair” algorithms may perpetuate racial and gender bias: a study of salary dispute resolution.

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Title: “Provably fair” algorithms may perpetuate racial and gender bias: a study of salary dispute resolution.
Authors: Hale, James1,2, jahale@usc.edu, Kim, Peter H.1, kimpeter@marshall.usc.edu, Gratch, Jonathan2, gratch@ict.usc.edu
Source: Autonomous Agents & Multi-Agent Systems; Jun2025, Vol. 39 Issue 1, p1-15, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183661918
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: “Provably fair” algorithms may perpetuate racial and gender bias: a study of salary dispute resolution.
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  Data: <searchLink fieldCode="AU" term="%22Hale%2C+James%22">Hale, James</searchLink><relatesTo>1,2</relatesTo>, <i>jahale@usc.edu</i><br /><searchLink fieldCode="AU" term="%22Kim%2C+Peter+H%2E%22">Kim, Peter H.</searchLink><relatesTo>1</relatesTo>, <i>kimpeter@marshall.usc.edu</i><br /><searchLink fieldCode="AU" term="%22Gratch%2C+Jonathan%22">Gratch, Jonathan</searchLink><relatesTo>2</relatesTo>, <i>gratch@ict.usc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Autonomous+Agents+%26+Multi-Agent+Systems%22">Autonomous Agents & Multi-Agent Systems</searchLink>; Jun2025, Vol. 39 Issue 1, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183661918
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        Value: 10.1007/s10458-025-09703-x
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: “Provably fair” algorithms may perpetuate racial and gender bias: a study of salary dispute resolution.
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            NameFull: Hale, James
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            NameFull: Kim, Peter H.
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              Text: Jun2025
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              Y: 2025
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