The false promise of risk assessments: epistemic reform and the limits of fairness

Ben Green
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引用次数: 59

Abstract

Risk assessments have proliferated in the United States criminal justice system. The theory of change motivating their adoption involves two key assumptions: first, that risk assessments will reduce human biases by making objective decisions, and second, that risk assessments will promote criminal justice reform. In this paper I interrogate both of these assumptions, concluding that risk assessments are an ill-advised tool for challenging the centrality and legitimacy of incarceration within the criminal justice system. First, risk assessments fail to provide objectivity, as their use creates numerous sites of discretion. Second, risk assessments provide no guarantee of reducing incarceration; instead, they risk legitimizing the criminal justice system's structural racism. I then consider, via an "epistemic reform," the path forward for criminal justice reform. I reinterpret recent results regarding the "impossibility of fairness" as not simply a tension between mathematical metrics but as evidence of a deeper tension between notions of equality. This expanded frame challenges the formalist, colorblind proceduralism at the heart of the criminal justice system and suggests a more structural approach to reform. Together, this analysis highlights how algorithmic fairness narrows the scope of judgments about justice and how "fair" algorithms can reinforce discrimination.
风险评估的虚假承诺:认识改革和公平的限制
风险评估已在美国刑事司法系统中大量出现。推动采用风险评估的变革理论涉及两个关键假设:第一,风险评估将通过做出客观决策来减少人类偏见;第二,风险评估将促进刑事司法改革。在本文中,我对这两个假设进行了质疑,得出的结论是,风险评估是一种不明智的工具,无法挑战监禁在刑事司法系统中的核心地位和合法性。首先,风险评估不能提供客观性,因为它们的使用创造了许多自由裁量权的场所。第二,风险评估不能保证减少监禁;相反,他们冒着使刑事司法系统的结构性种族主义合法化的风险。然后,我通过“认识改革”来考虑刑事司法改革的前进道路。我重新解释了最近关于“公平的不可能性”的结果,这不仅仅是数学指标之间的紧张关系,而是平等概念之间更深层次紧张关系的证据。这一扩展的框架挑战了刑事司法系统核心的形式主义、不分肤色的程序主义,并提出了一种更具结构性的改革方法。总之,这一分析突出了算法公平如何缩小了关于正义的判断范围,以及“公平”算法如何加剧歧视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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