Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions
@article{Rodolfa2020CaseSP, title={Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions}, author={Kit T. Rodolfa and Erika Salomon and Lauren Haynes and Iv{\'a}n Higuera Mendieta and Jamie L Larson and Rayid Ghani}, journal={Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency}, year={2020} }
The criminal justice system is currently ill-equipped to improve outcomes of individuals who cycle in and out of the system with a series of misdemeanor offenses. Often due to constraints of caseload and poor record linkage, prior interactions with an individual may not be considered when an individual comes back into the system, let alone in a proactive manner through the application of diversion programs. The Los Angeles City Attorney's Office recently created a new Recidivism Reduction and…
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