Unpacking the Black Box: Regulating Algorithmic Decisions

Unpacking the Black Box: Regulating Algorithmic Decisions

5 October 2021

Papers citing "Unpacking the Black Box: Regulating Algorithmic Decisions"

19 / 19 papers shown

Title
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 52 13 0 31 May 2022
Aligned with Whom? Direct and social goals for AI systems Anton Korinek Avital Balwit 34 10 0 09 May 2022
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 59 84 0 02 Jan 2021
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards Masoud Hashemi Ali Fathi AAML 36 32 0 24 Aug 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 53 388 0 21 Jan 2020
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations Himabindu Lakkaraju Osbert Bastani 48 252 0 15 Nov 2019
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods Dylan Slack Sophie Hilgard Emily Jia Sameer Singh Himabindu Lakkaraju FAtt AAML MLAU 61 813 0 06 Nov 2019
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 46 31 0 18 Sep 2019
Discrimination in the Age of Algorithms Jon M. Kleinberg J. Ludwig S. Mullainathan C. Sunstein FaML 27 322 0 11 Feb 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 147 1,428 0 14 Jan 2019
An Interpretable Model with Globally Consistent Explanations for Credit Risk Chaofan Chen Kangcheng Lin Cynthia Rudin Yaron Shaposhnik Sijia Wang Tong Wang FAtt 54 93 0 30 Nov 2018
Predicting Race and Ethnicity From the Sequence of Characters in a Name Rajashekar Chintalapati Suriyan Laohaprapanon G. Sood 27 186 0 05 May 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 101 3,922 0 06 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 744 21,613 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 359 3,742 0 28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 293 2,098 0 24 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 94 1,762 0 19 Sep 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 798 16,828 0 16 Feb 2016
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 215 1,401 0 27 May 2013

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