This short paper reports on the first author's summer research project characterizing the tradeoff between accuracy and fairness in parole decision predictions.
This short paper reports on the first author's summer research project characterizing the tradeoff between accuracy and fairness in parole decision predictions.
Dec 6, 2022 · This short paper reports on the first author's summer research project characterizing the tradeoff between accuracy and fairness in parole ...
This short paper reports on the first author's summer research project characterizing the tradeoff between accuracy and fairness in parole decision predictions.
Classification performance was measured using accuracy and F1 based on training univariate decision trees, and fairness was measured using equalized odd ...
Dive into the research topics of 'Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis'. Together they form a unique fingerprint.
Gardner, J. W., Gursoy, F., & Kakadiaris, I. A. (2022,. December). Accuracy-Fairness Trade-off in Parole. Decision Predictions: A Preliminary Analysis. In 2022.
Co-authors ; Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis. JW Gardner, F Gursoy, IA Kakadiaris. 2022 IEEE/ACM International ...
Accuracy-Fairness Tradeoff in Parole Decision Predictions: A Preliminary Analysis. IEEE/ACM International Conference on Big Data Computing, Applications and ...
Jan 17, 2018 · Algorithms for predicting recidivism are commonly used to assess a criminal defendant's likelihood of committing a crime.
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