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ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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
ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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
ntana, New York, Ohio, South Dakota, Texas, West Virginia, and Wisconsin. Although the Bureau reported tha
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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