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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
despite indication of need.'' Access to quality programs also varies from one institution to another.5 This is unfortunate because programs such as Federal Prison Industries (also known by its trade name, UNICOR) has been proven to reduce recidivism by 24%.6 Participants in FPI are also 14% more likely than similarly si
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
despite indication of need.'' Access to quality programs also varies from one institution to another.5 This is unfortunate because programs such as Federal Prison Industries (also known by its trade name, UNICOR) has been proven to reduce recidivism by 24%.6 Participants in FPI are also 14% more likely than similarly si
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
despite indication of need.'' Access to quality programs also varies from one institution to another.5 This is unfortunate because programs such as Federal Prison Industries (also known by its trade name, UNICOR) has been proven to reduce recidivism by 24%.6 Participants in FPI are also 14% more likely than similarly si
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