When the Algorithm Itself Is a Racist: Diagnosing Ethical Harm in the Basic Components of Software.

Computer algorithms organize and select information across a wide range of applications and industries, from search results to social media. Abuses of power by Internet platforms have led to calls for algorithm transparency and regulation. Algorithms have a particularly problematic history of proces...

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Publicado en:International Journal of Communication (19328036) Vol. 10; pp. 4972 - 4991
Autores principales: SANDVIG, CHRISTIAN, HAMILTON, KEVIN, KARAHALIOS, KARRIE, LANGBORT, CEDRIC
Formato: Artículo
Publicado: University of Southern California, USC Annenberg Press 2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: When the Algorithm Itself Is a Racist: Diagnosing Ethical Harm in the Basic Components of Software.
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          SANDVIG, CHRISTIAN
          HAMILTON, KEVIN
          KARAHALIOS, KARRIE
          LANGBORT, CEDRIC
        affil:
          University of Michigan, USA
          University of Illinois at Urbana-Champaign, USA
      su:
        Social media
        Computer systems
        Social structure
        Algorithms
        Computer programming
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        subj:
          Social media
          Computer systems
          Social structure
          Other Computer Related Services
          Custom Computer Programming Services
          Computer systems design and related services (except video game design and development)
          Computer Systems Design Services
          Algorithms
          Computer programming
      keyword:
        algorithms
        applied ethics
        information and communication technologies (ICT)
        Internet studies
        science and technology studies (STS)
        algorithms
        applied ethics
        information and communication technologies (ICT)
        Internet studies
        science and technology studies (STS)
      ab: Computer algorithms organize and select information across a wide range of applications and industries, from search results to social media. Abuses of power by Internet platforms have led to calls for algorithm transparency and regulation. Algorithms have a particularly problematic history of processing information about race. Yet some analysts have warned that foundational computer algorithms are not useful subjects for ethical or normative analysis due to complexity, secrecy, technical character, or generality. We respond by investigating what it is an analyst needs to know to determine whether the algorithm in a computer system is improper, unethical, or illegal in itself. We argue that an "algorithmic ethics" can analyze a particular published algorithm. We explain the importance of developing a practical algorithmic ethics that addresses virtues, consequences, and norms: We increasingly delegate authority to algorithms, and they are fast becoming obscure but important elements of social structure.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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