Addressing Algorithmic Discrimination: Considering the intersection of technical design and civil rights when building and using classification algorithms.

The article scrutinizes the relationship between civil rights and racial discrimination with algorithmic decision-making. Examples of algorithmic decision-making vulnerable to discrimination are offered including screening of potential employees and the alleged inadequacy of current employment law f...

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Publicado en:Communications of the ACM Vol. 65; no. 1; pp. 25 - 28
Autor principal: Kim, Pauline T.
Formato: Artículo
Publicado: Association for Computing Machinery Jan2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Addressing Algorithmic Discrimination: Considering the intersection of technical design and civil rights when building and using classification algorithms.
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        au: Kim, Pauline T.
        affil: Daniel Noyes Kirby Professor of Law, Washington University School of Law, St. Louis, MO, USA
      su:
        Discrimination (Sociology)
        Race discrimination
        Algorithms
        Employee screening
        Labor laws
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          Discrimination (Sociology)
          Race discrimination
          Algorithms
          Employee screening
          Labor laws
      ab: The article scrutinizes the relationship between civil rights and racial discrimination with algorithmic decision-making. Examples of algorithmic decision-making vulnerable to discrimination are offered including screening of potential employees and the alleged inadequacy of current employment law for algorithmic discrimination is described.
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    language: English
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