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Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through
  Social Service Interventions

Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions

24 January 2020
Kit T. Rodolfa
E. Salomon
Lauren Haynes
Iván Higuera Mendieta
Jamie L Larson
Rayid Ghani
ArXivPDFHTML

Papers citing "Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions"

3 / 3 papers shown
Title
A Conceptual Framework for Using Machine Learning to Support Child
  Welfare Decisions
A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions
Ka Ho Brian Chor
Kit T. Rodolfa
Rayid Ghani
25
0
0
12 Jul 2022
A Hierarchy of Limitations in Machine Learning
A Hierarchy of Limitations in Machine Learning
M. Malik
13
55
0
12 Feb 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
192
2,082
0
24 Oct 2016
1