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rs."" For a fuller listing of the information that must be known and why, I am attaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at
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
rs."" For a fuller listing of the information that must be known and why, I am attaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at
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
rs."" For a fuller listing of the information that must be known and why, I am attaching as Exhibit A the Federal Defenders' letter to the NIJ. 12 Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENT'G REP. 167, 167 (2014). " 18 U.S.C. § 3632(a)(5)(A). 14 See DOJ Report at
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
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