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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
rs Legislative Committee 52 Duane Street, 10.K Floor New York, NY 1007 Tel: (212) 417-8738 multidisciplinary team that includes policymakers and stakeholdersi3—rather than solely data scientists. For example, the decisions on the cut-points, which necessarily impact fairness measures such as false positive
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
rs Legislative Committee 52 Duane Street, 10.K Floor New York, NY 1007 Tel: (212) 417-8738 multidisciplinary team that includes policymakers and stakeholdersi3—rather than solely data scientists. For example, the decisions on the cut-points, which necessarily impact fairness measures such as false positive
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
rs Legislative Committee 52 Duane Street, 10.K Floor New York, NY 1007 Tel: (212) 417-8738 multidisciplinary team that includes policymakers and stakeholdersi3—rather than solely data scientists. For example, the decisions on the cut-points, which necessarily impact fairness measures such as false positive
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