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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
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
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
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
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
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
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