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ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
ll and 58% of men);' that high scores are likely driven by static factors such as age of first conviction and criminal history 26 See Richard Berk, Acturag, and Fairness for Juvenile Jmike Risks Assessments, 16 J. EMPIRICAL LEG. STUD. 175, 184 (2019). 26 See DOJ Report at 29 (referring implicitly to wh
rk, NY 1007 Tel (212) 417-8738 report (DOJ Report) confirms the need to assess PATTERN for accuracy and bias. For example, reported data indicates PATTTERN will have a racially disparate impact, particularly on black males. As illustrated in the charts below, based on the DOJ Report, white males are far
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