Ethical machine decisions and the input-selection problem

Björn Lundgren

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)11423
    Number of pages11443
    JournalSynthese
    Volume199
    DOIs
    Publication statusPublished - Dec 2021

    Keywords

    • Machine decisions
    • Uncertainty
    • Factual uncertainty
    • AI ethics
    • Datachoices
    • Input choices
    • Input-selection problem
    • Trade-ofs
    • Data protection
    • Privacy
    • Transparency
    • Opacity
    • Cost–beneft
    • Time-sensitive machine decisions

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