Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 24 0 0 18 May 2025
Improving Fairness in LLMs Through Testing-Time Adversaries Isabela Pereira Gregio Ian Pons Anna Helena Reali Costa Artur Jordao AAML 22 0 0 17 May 2025
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals Dena F. Mujtaba Nihar R. Mahapatra 17 0 0 17 May 2025
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 29 0 0 14 May 2025
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 44 0 0 12 May 2025
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge Tianyu Zhang Shen Dong O. Deniz Kose Yanning Shen Wenjie Qu FaML 58 0 0 12 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 50 0 0 03 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 76 0 0 28 Apr 2025
Local Statistical Parity for the Estimation of Fair Decision Trees Andrea Quintanilla Johan Van Horebeek 37 0 0 25 Apr 2025
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes Tianhe Zhang Suhan Liu Peng Shi FaML 74 0 0 16 Apr 2025
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models Tian Xie Tongxin Yin Vaishakh Keshava Xueru Zhang Siddhartha Reddy Jonnalagadda ELM LRM 70 0 0 08 Apr 2025
From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions Saumendu Roy Saikat Mondal B. Roy C. Roy 23 0 0 03 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 64 0 0 03 Apr 2025
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination A. Majumdar Deborah D. Kanubala Kavya Gupta Isabel Valera FaML 57 0 0 28 Mar 2025
A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities Wen Xu Elham Dolatabadi FaML 92 0 0 21 Mar 2025
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer Shijing Chen Shoaib Jameel Mohamed Reda Bouadjenek Feilong Tang Usman Naseem Basem Suleiman Hakim Hacid Flora D. Salim Imran Razzak 44 0 0 19 Mar 2025
Causal Feature Learning in the Social Sciences Jingzhou Huang Jiuyao Lu Alexander Williams Tolbert CML 57 0 0 17 Mar 2025
Group-robust Machine Unlearning Thomas De Min Subhankar Roy Stéphane Lathuilière Elisa Ricci Massimiliano Mancini MU OOD 77 0 0 12 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 53 1 0 12 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement Chenrui Ma Rongchang Zhao Xi Xiao Hongyang Xie Tianyang Wang Xuben Wang Huatian Zhang Yanning Shen 65 1 0 11 Mar 2025
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models Kefan Song Jin Yao Runnan Jiang Rohan Chandra Shangtong Zhang ALM 46 0 0 10 Mar 2025
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition Iris Dominguez-Catena D. Paternain M. Galar Marybeth Defrance Maarten Buyl Tijl De Bie 66 0 0 05 Mar 2025
Towards Multi-Stakeholder Evaluation of ML Models: A Crowdsourcing Study on Metric Preferences in Job-matching System Takuya Yokota Yuri Nakao 44 0 0 03 Mar 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 97 1 0 25 Feb 2025
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 38 0 0 25 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 56 0 0 18 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 77 0 0 17 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 92 1 0 17 Feb 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 73 0 0 06 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation Martin Mundt Anaelia Ovalle Felix Friedrich A Pranav Subarnaduti Paul Manuel Brack Kristian Kersting William Agnew 374 0 0 05 Feb 2025
Privilege Scores Ludwig Bothmann Philip A. Boustani Jose M. Alvarez Giuseppe Casalicchio Bernd Bischl Susanne Dandl 57 0 0 03 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool Floris Holstege Mackenzie Jorgensen Kirtan Padh Jurriaan Parie Joel Persson Krsto Prorokovic Lukas Snoek 105 0 0 03 Feb 2025
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? Yunbo Lyu Zhou Yang Yuqing Niu Jing Jiang David Lo 44 1 0 28 Jan 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 70 5 0 22 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Deontic Temporal Logic for Formal Verification of AI Ethics Priya T.V. Shrisha Rao 36 0 0 10 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 41 0 0 31 Dec 2024
Measuring Goal-Directedness Matt MacDermott James Fox Francesco Belardinelli Tom Everitt 98 1 0 06 Dec 2024
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 85 0 0 02 Dec 2024
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare Tianqi Shang Weiqing He Tianlong Chen Ying Ding Huanmei Wu Kaixiong Zhou Li Shen 64 0 0 29 Nov 2024
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han Lihe Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Jianwei Yin FedML 45 0 0 11 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
Counterfactual explainability of black-box prediction models Zijun Gao Qingyuan Zhao CML 29 0 0 03 Nov 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare Arno Blaas Adam Goliñski Andrew C. Miller Luca Zappella J. Jacobsen Christina Heinze-Deml OOD 28 0 0 25 Oct 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models Chen Qian Dongrui Liu Jie Zhang Yong Liu Jing Shao 40 1 0 22 Oct 2024
Fairness Evaluation with Item Response Theory Ziqi Xu Sevvandi Kandanaarachchi Cheng Soon Ong Eirini Ntoutsi 31 1 0 20 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 30 1 0 17 Oct 2024
Using Protected Attributes to Consider Fairness in Multi-Agent Systems Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black FaML 21 0 0 16 Oct 2024
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 40 0 0 16 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 43 1 0 12 Oct 2024