Agency Laundering and Information Technologies.

When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call "agency laundering." At root, agency laundering involves obfuscating one's moral responsibility by enlisti...

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Publicado en:Ethical Theory & Moral Practice Vol. 22; no. 4; pp. 1017 - 1042
Autores principales: Rubel, Alan, Castro, Clinton, Pham, Adam
Formato: Artículo
Publicado: Springer Nature Aug2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Rubel, Alan
          Castro, Clinton
          Pham, Adam
        affil:
          University of Wisconsin-Madison, Madison, WI, USA
          Florida International University, Miami, FL, USA
      su:
        Money laundering
        Information technology
        Decision making
        Responsibility
        Criminal sentencing
      sug:
        subj:
          Money laundering
          Information technology
          Decision making
          Responsibility
          Criminal sentencing
      keyword:
        Agency
        Agency laundering
        Algorithm
        Automation
        Autonomy
        Big data
        COMPAS
        Ethics
        Responsibility gap
        Transparency
      ab: When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call "agency laundering." At root, agency laundering involves obfuscating one's moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number of recent cases involving automated, or algorithmic, decision-systems. We apply our conception of agency laundering to a series of examples, including Facebook's automated advertising suggestions, Uber's driver interfaces, algorithmic evaluation of K-12 teachers, and risk assessment in criminal sentencing. We distinguish agency laundering from several other critiques of information technology, including the so-called "responsibility gap," "bias laundering," and masking.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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