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dc.contributor.authorDiallo, Saikou
dc.contributor.authorShults, F. LeRon
dc.contributor.authorWildman, Wesley J.
dc.date.accessioned2021-03-11T07:50:15Z
dc.date.available2021-03-11T07:50:15Z
dc.date.created2020-11-18T15:06:57Z
dc.date.issued2020
dc.identifier.citationDiallo, S., Shults, F. L. & Wildman, W. J. (2020). Minding morality: ethical artificial societies for public policy modeling. AI & Society, 36, 49-57.en_US
dc.identifier.issn1435-5655
dc.identifier.urihttps://hdl.handle.net/11250/2732718
dc.description.abstractPublic policies are designed to have an impact on particular societies, yet policy-oriented computer models and simulations often focus more on articulating the policies to be applied than on realistically rendering the cultural dynamics of the target society. This approach can lead to policy assessments that ignore crucial social contextual factors. For example, by leaving out distinctive moral and normative dimensions of cultural contexts in artificial societies, estimations of downstream policy effectiveness fail to account for dynamics that are fundamental in human life and central to many public policy challenges. In this paper, we supply evidence that incorporating morally salient dimensions of a culture is critically important for producing relevant and accurate evaluations of social policy when using multi-agent artificial intelligence models and simulations.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMinding morality : ethical artificial societies for public policy modelingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.subject.nsiVDP::Humaniora: 000::Filosofiske fag: 160::Etikk: 164en_US
dc.source.pagenumber49–57en_US
dc.source.journalAI & Societyen_US
dc.identifier.doihttps://doi.org/10.1007/s00146-020-01028-5
dc.identifier.cristin1849352
cristin.qualitycode1


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