Epstein Secrets

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

ral Bureau of Prisons, https://www.bop.gov/inmates/custody_and_care/unicor_about.jsp (estimating the participation rate at 8%). 2 See Oversight of the Federal Bureau of Prisons Before the H. Subcomm. on Crime, Terrorism, Homeland Stain? and Investigations of the H. Comm. on the Judiciafy, 115th Cong. 20 (2018) (BOP Director Inch). 3 See Dep't o

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

ral Bureau of Prisons, https://www.bop.gov/inmates/custody_and_care/unicor_about.jsp (estimating the participation rate at 8%). 2 See Oversight of the Federal Bureau of Prisons Before the H. Subcomm. on Crime, Terrorism, Homeland Stain? and Investigations of the H. Comm. on the Judiciafy, 115th Cong. 20 (2018) (BOP Director Inch). 3 See Dep't o

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

ral Bureau of Prisons, https://www.bop.gov/inmates/custody_and_care/unicor_about.jsp (estimating the participation rate at 8%). 2 See Oversight of the Federal Bureau of Prisons Before the H. Subcomm. on Crime, Terrorism, Homeland Stain? and Investigations of the H. Comm. on the Judiciafy, 115th Cong. 20 (2018) (BOP Director Inch). 3 See Dep't o