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ited in the DOJ Report. See DOJ Report at 38-39 nn.20-24. " See DOJ Report at 28 (discussing multiple algorithmic measures of racial bias). 15 See Melissa Hamilton, Debating Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessm
eate PATTERN.14 This is consistent not only with the transparency directives in the FSA,l5 but also with the advice of leading organizations such as the National Center for State Courts, which recommends that independent evaluators determine whether their independent "research findings support or contradict conclusions drawn by the
ited in the DOJ Report. See DOJ Report at 38-39 nn.20-24. " See DOJ Report at 28 (discussing multiple algorithmic measures of racial bias). 15 See Melissa Hamilton, Debating Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessm
eate PATTERN.14 This is consistent not only with the transparency directives in the FSA,l5 but also with the advice of leading organizations such as the National Center for State Courts, which recommends that independent evaluators determine whether their independent "research findings support or contradict conclusions drawn by the
ited in the DOJ Report. See DOJ Report at 38-39 nn.20-24. " See DOJ Report at 28 (discussing multiple algorithmic measures of racial bias). 15 See Melissa Hamilton, Debating Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessm
eate PATTERN.14 This is consistent not only with the transparency directives in the FSA,l5 but also with the advice of leading organizations such as the National Center for State Courts, which recommends that independent evaluators determine whether their independent "research findings support or contradict conclusions drawn by the
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