Law Commons^™

Boots And Bail On The Ground: Assessing The Implementation Of Misdemeanor Bail Reforms In Georgia, Andrea Woods, Sandra G. Mayson, Lauren Sudeall, Guthrie Armstrong, Anthony Potts

Scholarly Works

This Article presents a mixed-methods study of misdemeanor bail practice across Georgia in the wake of reform. We observed bail hearings and interviewed system actors in a representative sample of fifty-five counties in order to assess the extent to which pretrial practice conforms to legal standards clarified in Senate Bill 407 and Walker v. Calhoun. We also analyzed jail population data published by county jails and by the Georgia Department of Community Affairs. We found that a handful of counties have made promising headway in adhering to law and best practices, but that the majority have some distance to …

Boots And Bail On The Ground: Assessing The Implementation Of Misdemeanor Bail Reforms In Georgia, Sandra Mayson, Andrea Woods, Lauren Sudeall, Guthrie Armstrong, Anthony Potts

Scholarly Works

This Article presents a mixed-methods study of misdemeanor bail practice across Georgia in the wake of reform. We observed bail hearings and interviewed system actors in a representative sample of fifty-five counties in order to assess the extent to which pretrial practice conforms to legal standards clarified in Senate Bill 407 and Walker v. Calhoun. We also analyzed jail population data published by county jails and by the Georgia Department of Community Affairs. We found that a handful of counties have made promising headway in adhering to law and best practices, but that the majority have some distance to …

Bias In, Bias Out, Sandra G. Mayson

Scholarly Works

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impact. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race, (2) adjustments to algorithmic design to equalize predictions across racial lines, and (3) rejection of algorithmic methods altogether.

This Article’s central claim is that these strategies are at best superficial and at worst counterproductive, because the source of racial inequality in risk assessment lies …