A comparative study of fairness-enhancing interventions in machine learning

13 February 2018

Sorelle A. Friedler

C. Scheidegger

Suresh Venkatasubramanian

Papers citing "A comparative study of fairness-enhancing interventions in machine learning"

26 / 26 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 41 0 0 26 May 2025
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services Luca Vittorio Piron Matteo Cederle Marina Ceccon Federico Chiariotti Alessandro Fabris Marco Fabris Gian Antonio Susto 57 0 0 20 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 73 0 0 03 Jan 2025
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 161 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 113 0 0 10 Nov 2024
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems Xuyang Wu Shuowei Li Hsin-Tai Wu Zhiqiang Tao Yi Fang 149 12 0 29 Sep 2024
Identity-related Speech Suppression in Generative AI Content Moderation Oghenefejiro Isaacs Anigboro Charlie M. Crawford Danaë Metaxa Sorelle A. Friedler Sorelle A. Friedler 48 0 0 09 Sep 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 52 3 0 29 Aug 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 48 1 0 16 Jul 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 98 1 0 03 Jun 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 61 23 0 03 Sep 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 77 2 0 25 Jan 2023
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction David Leslie 67 67 0 15 Aug 2020
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 69 3,922 0 06 Feb 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 36 87 0 22 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 84 775 0 14 Nov 2017
Fairness Testing: Testing Software for Discrimination Sainyam Galhotra Yuriy Brun A. Meliou 51 376 0 11 Sep 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 40 344 0 29 Jun 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 50 200 0 09 Nov 2016
Fair Algorithms for Infinite and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FedML FaML 45 55 0 29 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 278 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 72 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 73 1,762 0 19 Sep 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 28 472 0 23 May 2016
Auditing Black-box Models for Indirect Influence Philip Adler Casey Falk Sorelle A. Friedler Gabriel Rybeck C. Scheidegger Brandon Smith Suresh Venkatasubramanian TDI MLAU 63 288 0 23 Feb 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 77 1,978 0 11 Dec 2014