Ethical machine decisions and the input-selection problem

Lundgren, Björn (författare): Stockholms universitet,Umeå universitet,Institutionen för idé- och samhällsstudier,Institute for Futures Studies, Stockholm, Sweden; Department of Philosophy, Stockholm University, Stockholm, Sweden,Filosofiska institutionen,Umeå University, Sweden; Institute for Futures Studies, Sweden

(creator_code:org_t)

2021-08-30
2021
Engelska.
Ingår i: Synthese. - : Springer. - 0039-7857 .- 1573-0964. ; 199:3-4, s. 11423-11443

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Abstract Ämnesord

Stäng

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.

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