Epstein Secrets

ment developers.)912 • DOJ Report at 50. 7 See supra note 4. See Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENTT; REP. 167, 167 (2014). • FSA at Tide I § 101(a) (codified at 18 U.S.C. § 3632(a)(5)(A)). See DOJ Report at 42-43. "See supra notes 1 &2. 'Pamela

ng Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessment, 31 BEHAV. So. & L. 8, 16- 18 (2013). 16 See general? Sarah L. Desmarais et al., Performance of Recidivism Risk Assessment Instruments in U.S. Correctional S

ment developers.)912 • DOJ Report at 50. 7 See supra note 4. See Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENTT; REP. 167, 167 (2014). • FSA at Tide I § 101(a) (codified at 18 U.S.C. § 3632(a)(5)(A)). See DOJ Report at 42-43. "See supra notes 1 &2. 'Pamela

ng Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessment, 31 BEHAV. So. & L. 8, 16- 18 (2013). 16 See general? Sarah L. Desmarais et al., Performance of Recidivism Risk Assessment Instruments in U.S. Correctional S

ment developers.)912 • DOJ Report at 50. 7 See supra note 4. See Michael Tonry, Legal and Ethical Issues in the Prediction of Recidivism, 26 FED. SENTT; REP. 167, 167 (2014). • FSA at Tide I § 101(a) (codified at 18 U.S.C. § 3632(a)(5)(A)). See DOJ Report at 42-43. "See supra notes 1 &2. 'Pamela

ng Algorithmic Fairness, 52 UC DAVIS L REV. ONLINE 261 (2019); Jay P. Singh, Predictive Validi?Perfonnance Indicators in Violent Risk Assessment, 31 BEHAV. So. & L. 8, 16- 18 (2013). 16 See general? Sarah L. Desmarais et al., Performance of Recidivism Risk Assessment Instruments in U.S. Correctional S