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ies, including disparities among similarly classified prisoners of different demographic groups, in such rates."); FSA at Tide I, § 107© (requiring the Independent Review Committee to submit to Congress a report addressing the demographic percentages of inmates ineligible to receive and apply time credits, including by age, ra
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
ies, including disparities among similarly classified prisoners of different demographic groups, in such rates."); FSA at Tide I, § 107@ (requiring the Independent Review Committee to submit to Congress a report addressing the demographic percentages of inmates ineligible to receive and apply time credits, including by age, ra
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
ies, including disparities among similarly classified prisoners of different demographic groups, in such rates."); FSA at Tide I, § 107@ (requiring the Independent Review Committee to submit to Congress a report addressing the demographic percentages of inmates ineligible to receive and apply time credits, including by age, ra
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
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