Owning Decisions: AI Decision-Support and the Attributability-Gap.

Artificial intelligence (AI) has long been recognised as a challenge to responsibility. Much of this discourse has been framed around robots, such as autonomous weapons or self-driving cars, where we arguably lack control over a machine’s behaviour and therefore struggle to identify an agent that ca...

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Publicado en:Science & Engineering Ethics Vol. 30; no. 4; pp. 1 - 20
Autor principal: Zeiser, Jannik
Formato: Artículo
Publicado: Springer Nature Aug2024
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Owning Decisions: AI Decision-Support and the Attributability-Gap.
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        au: Zeiser, Jannik
        affil: https://ror.org/0304hq317 Leibniz Universität Hannover, Institut für Philosophie, Im Moore 21, 30167, Hannover, Germany
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        Accountability
        Agency
        Artificial intelligence
        Attributability
        Decision-support systems
        Machine learning
        Responsibility
      ab: Artificial intelligence (AI) has long been recognised as a challenge to responsibility. Much of this discourse has been framed around robots, such as autonomous weapons or self-driving cars, where we arguably lack control over a machine’s behaviour and therefore struggle to identify an agent that can be held accountable. However, most of today’s AI is based on machine-learning technology that does not act on its own, but rather serves as a decision-support tool, automatically analysing data to help human agents make better decisions. I argue that decision-support tools pose a challenge to responsibility that goes beyond the familiar problem of finding someone to blame or punish for the behaviour of agent-like systems. Namely, they pose a problem for what we might call “decision ownership”: they make it difficult to identify human agents to whom we can attribute value-judgements that are reflected in decisions. Drawing on recent philosophical literature on responsibility and its various facets, I argue that this is primarily a problem of attributability rather than of accountability. This particular responsibility problem comes in different forms and degrees, most obviously when an AI provides direct recommendations for actions, but also, less obviously, when it provides mere descriptive information on the basis of which a decision is made.
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    language: English
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