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原文連結
論文資訊
- 類型：已發表論文
- 日期：2023-09-04
摘要
We provide a selective survey of the literature on discrimination by criminal justice 智能體s, and argue for a taxonomy of harms that differs from conventional approaches. Discrimination can be self-defeating if it reduces welfare among targets of discrimination while serving no legitimate purpose for the discriminating party. Even if a legitimate purpose is served, discrimination can be deliberative or demeaning, resulting in welfare losses that need to be accounted for. Deliberative and demeaning discrimination can also be self-defeating through general equilibrium effects on witness 合作, clearance rates, and preemptive and retaliatory violence. We consider how harmful discrimination can be detected and avoided, as well as changes in our understanding of discrimination resulting from the pro
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