Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

Papers citing "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness"

20 / 20 papers shown

Title
Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs Hannah Cyberey Yangfeng Ji David Evans LLMSV 113 1 0 27 Feb 2025
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude Yile Yan Yinlin Zhu Wentao Xu ELM 73 0 0 17 Jan 2025
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 67 0 0 02 Oct 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 55 1 0 16 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 94 3 0 10 Jun 2024
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification Kenji Kobayashi Yuri Nakao FaML 56 8 0 26 Oct 2020
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 51 21 0 30 Oct 2019
How to Use Heuristics for Differential Privacy Seth Neel Aaron Roth Zhiwei Steven Wu 44 26 0 19 Nov 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 90 205 0 24 Aug 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 171 1,094 0 06 Mar 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 51 87 0 22 Nov 2017
Identifying Significant Predictive Bias in Classifiers Zhe Zhang Daniel B. Neill 50 63 0 24 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 145 1,205 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 293 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 148 4,276 0 07 Oct 2016
On the (im)possibility of fairness Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian FaML 38 89 0 23 Sep 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
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 50 473 0 23 May 2016
Agnostic Learning of Monomials by Halfspaces is Hard Vitaly Feldman V. Guruswami P. Raghavendra Yi Wu 83 156 0 03 Dec 2010
Hardness Results for Agnostically Learning Low-Degree Polynomial Threshold Functions Ilias Diakonikolas Ryan O'Donnell Rocco A. Servedio Yi Wu 76 25 0 18 Oct 2010