Toward machines that behave ethically better than humans do

M.A. Pontier, J.F. Hoorn

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

With the increasing dependence on autonomous operating agents
and robots the need for ethical machine behavior rises. This paper
presents a moral reasoner that combines connectionism,
utilitarianism and ethical theory about moral duties. The moral
decision-making matches the analysis of expert ethicists in the
health domain. This may be useful in many applications, especially
where machines interact with humans in a medical context.
Additionally, when connected to a cognitive model of emotional
intelligence and affective decision making, it can be explored how
moral decision making impacts affective behavior.
Original languageEnglish
Title of host publicationProceedings of of the 34th International Annual Conference of the Cognitive Science Society
EditorsN. Miyake, B. Peebles, R.P. Cooper
Place of PublicationAustin, TX
PublisherCognitive Science Society
Pages2198-2203
Publication statusPublished - 2012
Event34th annual meeting of the Cognitive Science Society - Austin, TX
Duration: 1 Aug 20124 Aug 2012

Conference

Conference34th annual meeting of the Cognitive Science Society
Period1/08/124/08/12

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  • Cite this

    Pontier, M. A., & Hoorn, J. F. (2012). Toward machines that behave ethically better than humans do. In N. Miyake, B. Peebles, & R. P. Cooper (Eds.), Proceedings of of the 34th International Annual Conference of the Cognitive Science Society (pp. 2198-2203). Austin, TX: Cognitive Science Society.