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"

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Title
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes Tianhe Zhang Suhan Liu Peng Shi FaML 74 0 0 16 Apr 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 69 2 0 28 Jan 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 54 0 0 20 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 55 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 143 4 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 82 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 128 10 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 26 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 44 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 41 0 0 16 Jul 2024
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate Delfina Sol Martinez Pandiani Valentina Presutti 28 1 0 10 Jun 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 86 1 0 03 Jun 2024
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 177 2 0 22 May 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 55 0 0 02 Apr 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 51 21 0 03 Sep 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 54 9 0 31 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 41 30 0 09 Jul 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 45 12 0 17 Apr 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 48 12 0 10 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Han Yang Mikhail Yurochkin FaML 43 17 0 01 Mar 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 21 4 0 18 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 37 1 0 17 Feb 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 26 1 0 02 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 37 2 0 25 Jan 2023
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 16 24 0 08 Dec 2022
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 33 8 0 27 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 47 32 0 24 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 42 22 0 23 Nov 2022
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 36 6 0 21 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 32 12 0 09 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report Michael L. Littman Ifeoma Ajunwa G. Berger Craig Boutilier Morgan E. Currie ... Melanie Mitchell J. Shah S. Sloman Shannon Vallor T. Walsh ELM 39 100 0 27 Oct 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 33 2 0 24 Oct 2022
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation Joachim Baumann Christoph Heitz 31 8 0 19 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 51 21 0 05 Oct 2022
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 24 4 0 29 Sep 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 46 25 0 16 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 30 0 0 25 Jul 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 37 180 0 20 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 31 57 0 15 Jun 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 30 10 0 14 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission Shaina Raza 32 14 0 13 Jun 2022
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions L. R. Lucchesi Petra Kuhnert Jenny L. Davis Lexing Xie 22 10 0 10 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 33 16 0 18 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 21 27 0 11 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 34 92 0 10 May 2022
Towards Involving End-users in Interactive Human-in-the-loop AI Fairness Yuri Nakao Simone Stumpf Subeida Ahmed A. Naseer Lorenzo Strappelli 29 34 0 22 Apr 2022