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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
ly 10, 2018) (Congressional Research Service report concerning risk assessment in the federal prison system positively citing the recommendation of the Council of State Governments that independent third parties should be permitted to validate the tool to assess accuracy by race and gender). 8 EFTA00100188 The importance of
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
ly 10, 2018) (Congressional Research Service report concerning risk assessment in the federal prison system positively citing the recommendation of the Council of State Governments that independent third parties should be permitted to validate the tool to assess accuracy by race and gender). 8 EFTA00064925 The importance of
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
ly 10, 2018) (Congressional Research Service report concerning risk assessment in the federal prison system positively citing the recommendation of the Council of State Governments that independent third parties should be permitted to validate the tool to assess accuracy by race and gender). 8 EFTA00094043 The importance of
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