AI and Society:1-9 (forthcoming)

Authors
William A. Bauer
North Carolina State University
Abstract
Given that artificial moral agents—such as autonomous vehicles, lethal autonomous weapons, and automated financial trading systems—are now part of the socio-ethical equation, we should morally evaluate their behavior. How should artificial moral agents make decisions? Is one moral theory better suited than others for machine ethics? After briefly overviewing the dominant ethical approaches for building morality into machines, this paper discusses a recent proposal, put forward by Don Howard and Ioan Muntean (2016, 2017), for an artificial moral agent based on virtue theory. While the virtuous artificial moral agent has various strengths, this paper argues that a rule-based utilitarian approach (in contrast to a strict act-utilitarian approach) is superior because it can capture the most important features of the virtue-theoretic approach while realizing additional significant benefits. Specifically, a 2-level utilitarian artificial moral agent incorporating both established moral rules and a utility calculator is especially well-suited for machine ethics.
Keywords machine ethics  artificial moral agent  machine learning  virtue theory  2-level utilitarianism
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DOI 10.1007/s00146-018-0871-3
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References found in this work BETA

Thinking, Fast and Slow.Daniel Kahneman - 2011 - New York: Farrar, Straus & Giroux.
Utilitarianism.J. S. Mill - 1861 - Oxford University Press UK.

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Citations of this work BETA

Expanding Nallur's Landscape of Machine Implemented Ethics.William A. Bauer - 2020 - Science and Engineering Ethics 26 (5):2401-2410.

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