About: Minding morality: ethical artificial societies for public policy modeling

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Minding morality: ethical artificial societies for public policy modeling
Creator	Diallo, Saikou Wildman, Wesley Leron Shults, ·
Source	Medline; PMC
abstract	Public 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.
has issue date	2020-08-07(xsd:dateTime)
bibo:doi	10.1007/s00146-020-01028-5
bibo:pmid	32836907
has license	cc-by
sha1sum (hex)	65bb0d96d9c35dbc45751924dbb0e069ebe077f1
schema:url	https://doi.org/10.1007/s00146-020-01028-5
resource representing a document's title	Minding morality: ethical artificial societies for public policy modeling
has PubMed Central identifier	PMC7411344
has PubMed identifier	32836907
schema:publication	AI Soc
resource representing a document's body	covid:65bb0d96d9c35dbc45751924dbb0e069ebe077f1#body_text
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