Minding morality: ethical artificial societies for public policy modeling

被引:16
作者
Diallo, Saikou Y. [1 ]
Shults, F. LeRon [2 ,3 ]
Wildman, Wesley J. [4 ,5 ]
机构
[1] Old Dominion Univ, Virginia Modeling Simulat & Anal Ctr, 1030 Univ Blvd, Suffolk, VA 23435 USA
[2] Univ Agder, Ctr Modeling Social Syst NORCE, Univ Veien 19, N-4633 Kristiansand, Norway
[3] Univ Agder, Inst Global Dev & Social Planning, Univ Veien 19, N-4633 Kristiansand, Norway
[4] Ctr Mind & Culture, 745 Commonwealth Ave, Boston, MA 02215 USA
[5] Boston Univ, 745 Commonwealth Ave, Boston, MA 02215 USA
关键词
Multi-agent artificial intelligence; Social simulation; Public policy; Ethics; Morality; Cultural norms; HUMAN SIMULATION;
D O I
10.1007/s00146-020-01028-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:49 / 57
页数:9
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