Foresight for ethical AI

被引:6
作者
Dorton, Stephen L. [1 ,2 ]
Ministero, Lauren M. [1 ]
Alaybek, Balca [1 ]
Bryant, Douglas J. [1 ]
机构
[1] MITRE Corp, Social & Behav Sci Dept, Bedford, MA 01730 USA
[2] Univ Maryland, Sch Publ Policy, College Pk, MD 20742 USA
来源
FRONTIERS IN ARTIFICIAL INTELLIGENCE | 2023年 / 6卷
关键词
artificial intelligence; naturalistic decision making; ethics; foresight; premortem; policy;
D O I
10.3389/frai.2023.1143907
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is growing expectation that artificial intelligence (AI) developers foresee and mitigate harms that might result from their creations; however, this is exceptionally difficult given the prevalence of emergent behaviors that occur when integrating AI into complex sociotechnical systems. We argue that Naturalistic Decision Making (NDM) principles, models, and tools are well-suited to tackling this challenge. Already applied in high-consequence domains, NDM tools such as the premortem, and others, have been shown to uncover a reasonable set of risks of underlying factors that would lead to ethical harms. Such NDM tools have already been used to develop AI that is more trustworthy and resilient, and can help avoid unintended consequences of AI built with noble intentions. We present predictive policing algorithms as a use case, highlighting various factors that led to ethical harms and how NDM tools could help foresee and mitigate such harms.
引用
收藏
页数:5
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