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Digital prediction technologies in the justice system: The implications of a ‘race-neutral’ agenda
Theoretical Criminology ( IF 1.9 ) Pub Date : 2020-01-22 , DOI: 10.1177/1362480619896006
Pamela Ugwudike 1
Affiliation  

This article critically analyses the nexus of race and risk prediction technologies applied in justice systems across western jurisdictions. There is mounting evidence that the technologies are overpredicting the risk of recidivism posed by racialized groups, particularly black people. Yet the technologies are ostensibly race neutral in the sense that they do not refer explicitly to race. They are also compliant with race equality laws. To investigate how apparently race neutral technologies can nevertheless yield racially disparate outcomes, the article draws on insights distilled from the sociology of race and the sociological scholarship on standardization. It uses themes from these two scholarships to unravel the intersecting structural and creational dynamics capable of fomenting the digital racialization of risk.

中文翻译:

司法系统中的数字预测技术:“种族中立”议程的影响

本文批判性地分析了应用于西方司法系统司法系统的种族和风险预测技术之间的关系。越来越多的证据表明,这些技术高估了种族化群体,尤其是黑人造成的累犯风险。然而,这些技术表面上是种族中立的,因为它们没有明确提到种族。他们也遵守种族平等法。为了调查种族中立技术如何明显地产生种族不同的结果,本文借鉴了从种族社会学和标准化社会学学术中提炼出来的见解。它使用这两项奖学金的主题来解开能够煽动风险的数字种族化的交叉结构和创造动态。
更新日期:2020-01-22
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