Epstein Secrets

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

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

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

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

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

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