Pragmatic Ethics for Generative Adversarial Networks: Coupling, Cyborgs, and Machine Learning.

This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (GAN s). I use John Dewey's criticisms of the reflex arc concept in psychology as a basis for understanding how these p...

Descripción completa

Detalles Bibliográficos
Publicado en:Contemporary Pragmatism Vol. 18; no. 1; pp. 95 - 112
Autor principal: Tschaepe, Mark
Formato: Artículo
Publicado: Brill Academic Publishers 2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=150635920&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 150635920
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        15723429
        8WEE
      jtl: Contemporary Pragmatism
      issn: 15723429
      maglogo: N
    pubinfo:
      dt: 2021
      vid: 18
      iid: 1
      pid: 639
      pub: Brill Academic Publishers
    artinfo:
      ui:
        150635920
        10.1163/18758185-bja10005
      ppf: 95
      ppct: 17
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 218KB
      tig:
        atl: Pragmatic Ethics for Generative Adversarial Networks: Coupling, Cyborgs, and Machine Learning.
      aug:
        au: Tschaepe, Mark
        affil: Associate Professor of Philosophy, Division of Social Work, Behavioral and Political Science, Prairie View A&M University, Prairie View, TX, United States
      su:
        Pragmatism
        Ethics
        Cyborgs
        Machine learning
        Floridi, Luciano
      sug:
        subj:
          Pragmatism
          Ethics
          Cyborgs
          Machine learning
          Floridi, Luciano
      keyword:
        bias
        coupling
        ethics of technology
        generative adversarial networks
        machine learning
      ab: This article addresses the need for adaptive ethical analysis within machine learning that accounts for emerging problems concerning social bias and generative adversarial networks (GAN s). I use John Dewey's criticisms of the reflex arc concept in psychology as a basis for understanding how these problems stem from human-GAN interaction. By combining Dewey's criticisms with Donna Haraway's idea of cyborgs, Luciano Floridi's concept of distributed morality, and Shaowen Bardzell's recommendations for a feminist approach to human-computer interaction, I suggest a dynamic perspective from which to begin analyzing and solving issues of injustice evident in this particular domain of machine learning.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Contemporary Pragmatism is the property of Brill Academic Publishers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Contemporary Pragmatism
      holder: Brill Academic Publishers
      dt:
        @attributes:
          year: 2021
    holdings:
      @attributes:
        islocal: N