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Accuracy, Fairness, and Interpretability of Machine Learning Criminal
  Recidivism Models

Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models

14 September 2022
E. Ingram
Furkan Gursoy
I. Kakadiaris
    FaML
ArXivPDFHTML

Papers citing "Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models"

1 / 1 papers shown
Title
In Pursuit of Interpretable, Fair and Accurate Machine Learning for
  Criminal Recidivism Prediction
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Linjun Wang
Bin Han
Bhrij Patel
Cynthia Rudin
FaML
HAI
64
84
0
08 May 2020
1