most citedAccuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models

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cs.CY2022★ 1 cited

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

Eric Ingram, Furkan Gursoy, Ioannis A. Kakadiaris

Criminal recidivism models are tools that have gained widespread adoption by parole boards across the United States to assist with parole decisions. These models take in large amou…