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Moral dilemmas for moral machines

Name: Moral dilemmas for moral machines
Creator: Travis LaCroix
Keywords: FOS: Computer and information sciences, 0301 basic medicine, Computer Science - Computers and Society, 03 medical and health sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computers and Society (cs.CY), 05 social sciences, 0501 psychology and cognitive sciences

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 08 Mar 2022Embargo end date: 01 Jan 2022 English Publisher:Springer Science and Business Media LLCJournal:AI and Ethics, volume 2, pages 737-746 (issn: 2730-5953, eissn: 2730-5961,

Authors: Travis LaCroix;

doi: 10.1007/s43681-022-00134-y , 10.48550/arxiv.2203.06152

arXiv: http://arxiv.org/abs/2203.06152

Moral dilemmas for moral machines

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Abstract

Autonomous systems are being developed and deployed in situations that may require some degree of ethical decision-making ability. As a result, research in machine ethics has proliferated in recent years. This work has included using moral dilemmas as validation mechanisms for implementing decision-making algorithms in ethically-loaded situations. Using trolley-style problems in the context of autonomous vehicles as a case study, I argue (1) that this is a misapplication of philosophical thought experiments because (2) it fails to appreciate the purpose of moral dilemmas, and (3) this has potentially catastrophic consequences; however, (4) there are uses of moral dilemmas in machine ethics that are appropriate and the novel situations that arise in a machine-learning context can shed some light on philosophical work in ethics.

AI Ethics (2022)

Related Organizations

Dalhousie University
Canada

Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computers and Society (cs.CY)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%