Ethical machine decisions and the input-selection problem.

This article is about the role of factual uncertainty for moral decision-making as it concerns the ethics of machine decision-making (i.e., decisions by AI systems, such as autonomous vehicles, autonomous robots, or decision support systems). The view that is defended here is that factual uncertaint...

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Publicado en:Synthese Vol. 199; no. 3/4; pp. 11423 - 11444
Autor principal: Lundgren, Björn
Formato: Artículo
Publicado: Springer Nature Dec2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Ethical machine decisions and the input-selection problem.
      aug:
        au: Lundgren, Björn
        affil:
          Department of Historical, Philosophical and Religious Studies, Umeå University, Umeå, Sweden
          Institute for Futures Studies, Stockholm, Sweden
          Department of Philosophy, Stockholm University, Stockholm, Sweden
      su:
        Statistical decision making
        Decision support systems
        Autonomous robots
        Machinery
      sug:
        subj:
          Statistical decision making
          Decision support systems
          Autonomous robots
          Machinery
      keyword:
        AI ethics
        Cost–benefit
        Data choices
        Data protection
        Factual uncertainty
        Input choices
        Input-selection problem
        Machine decisions
        Opacity
        Privacy
        Time-sensitive machine decisions
        Trade-offs
        Transparency
        Uncertainty
      ab: This article is about the role of factual uncertainty for moral decision-making as it concerns the ethics of machine decision-making (i.e., decisions by AI systems, such as autonomous vehicles, autonomous robots, or decision support systems). The view that is defended here is that factual uncertainties require a normative evaluation and that ethics of machine decision faces a triple-edged problem, which concerns what a machine ought to do, given its technical constraints, what decisional uncertainty is acceptable, and what trade-offs are acceptable to decrease the decisional uncertainty.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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