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Fairness in Criminal Justice Risk Assessments: The State of the Art

27 March 2017

Hoda Heidari

Papers citing "Fairness in Criminal Justice Risk Assessments: The State of the Art"

23 / 23 papers shown

Title
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 219 5 0 13 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 159 0 0 10 Nov 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 127 3 0 20 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 116 0 0 03 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 84 3 0 29 Aug 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling S. Rutherford T. Wolfers Charlotte J. Fraza Nathaniel G. Harrnet Christian F. Beckmann H. Ruhé A. Marquand CML 88 3 0 26 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 37 0 0 29 Jun 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 85 6 0 27 May 2024
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 93 3 0 25 Jan 2023
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 99 2 0 21 Apr 2021
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation D. Powers 173 5,288 0 11 Oct 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 177 67 0 15 Aug 2020
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,102 0 06 Mar 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 197 782 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 200 880 0 06 Sep 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 115 342 0 07 Jun 2017
Optimized Data Pre-Processing for Discrimination Prevention Flavio du Pin Calmon Dennis L. Wei Karthikeyan N. Ramamurthy Kush R. Varshney 53 60 0 11 Apr 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,120 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
On the (im)possibility of fairness Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian FaML 48 89 0 23 Sep 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 121 1,775 0 19 Sep 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 59 475 0 23 May 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014