Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

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

50 / 443 papers shown

Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning Yifan Liu Ruichen Yao Y. Liu Ruohan Zong Zhiyu Li Yang Zhang Dong Wang CVBM 67 0 0 03 May 2025
Bayes-Optimal Fair Classification with Multiple Sensitive Features Yi Yang Yinghui Huang Xiangyu Chang FaML 67 0 0 01 May 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 44 0 0 16 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
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation Sami Zhioua Ruta Binkyt.e Ayoub Ouni Farah Barika Ktata 46 0 0 23 Mar 2025
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 56 0 0 12 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
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text Arturs Kanepajs Aditi Basu Sankalpa Ghose Constance Li Akshat Mehta Ronak Mehta Samuel David Tucker-Davis Eric Zhou Bob Fischer ALM ELM 48 0 0 03 Mar 2025
Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs Hannah Cyberey Yangfeng Ji David Evans LLMSV 84 1 0 27 Feb 2025
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage Konstantina Bairaktari Jiayun Wu Zhiwei Steven Wu 54 1 0 24 Feb 2025
Bias Detection via Maximum Subgroup Discrepancy Jiří Němeček Mark Kozdoba Illia Kryvoviaz Tomáš Pevný Jakub Mareˇcek 109 0 0 04 Feb 2025
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude Yile Yan Bo Li Wentao Xu ELM 52 0 0 17 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 38 0 0 08 Jan 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 26 0 0 31 Dec 2024
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li Jingyang Zhang Federica Sarro Yang Liu FaML 88 2 0 11 Dec 2024
The Intersectionality Problem for Algorithmic Fairness Johannes Himmelreich Arbie Hsu Kristian Lum Ellen Veomett FaML 44 0 0 04 Nov 2024
Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 49 0 0 10 Oct 2024
Social Choice for Heterogeneous Fairness in Recommendation Amanda A. Aird Elena Stefancova Cassidy All A. Voida Martin Homola Nicholas Mattei Robin Burke FaML 63 0 0 06 Oct 2024
Minimax Group Fairness in Strategic Classification Emily Diana Saeed Sharifi-Malvajerdi A. Vakilian FaML 39 0 0 03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 42 0 0 30 Sep 2024
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers Manh Khoi Duong Stefan Conrad UD FaML 53 0 0 19 Sep 2024
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models Sahil Kuchlous Marvin Li Jeffrey G. Wang 44 0 0 15 Sep 2024
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review Shaina Raza Arash Shaban-Nejad Elham Dolatabadi Hiroshi Mamiya 42 3 0 23 Aug 2024
Aligning (Medical) LLMs for (Counterfactual) Fairness Raphael Poulain Hamed Fayyaz Rahmatollah Beheshti 42 3 0 22 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
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 35 0 0 10 Jul 2024
Auditing of AI: Legal, Ethical and Technical Approaches Jakob Mokander 59 38 0 07 Jul 2024
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other? Jakob Mokander Prathm Juneja David S. Watson Luciano Floridi 39 54 0 07 Jul 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis Farnaz Kohankhaki Shaina Raza Oluwanifemi Bamgbose D. Pandya Elham Dolatabadi CML 53 0 0 02 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 63 3 0 30 Jun 2024
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 35 0 0 28 Jun 2024
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness Kacy Zhou Jiawen Wen Nan Yang Dong Yuan Qinghua Lu Huaming Chen 22 1 0 25 Jun 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 29 1 0 24 Jun 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro Samuel Rey Andrei Buciulea Antonio G. Marques Santiago Segarra 43 5 0 13 Jun 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 71 3 0 10 Jun 2024
Group-wise oracle-efficient algorithms for online multi-group learning Samuel Deng Daniel Hsu Jingwen Liu 35 1 0 07 Jun 2024
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 46 0 0 04 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 56 1 0 01 Jun 2024
Intersectional Unfairness Discovery Gezheng Xu Qi Chen Charles Ling Boyu Wang Changjian Shui 49 2 0 31 May 2024
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes Manh Khoi Duong Stefan Conrad 32 1 0 29 May 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 40 3 0 29 May 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 50 4 0 27 May 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 57 1 0 23 May 2024
$The Unfairness of $\varepsilon$-Fairness$ The Unfairness of $\varepsilon$ -Fairness T. Fadina Thorsten Schmidt 39 0 0 15 May 2024
Taking a Moment for Distributional Robustness Jabari Hastings Christopher Jung Charlotte Peale Vasilis Syrgkanis OOD 48 1 0 08 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 27 6 0 03 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 43 1 0 01 May 2024
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups G. Giannopoulos Dimitris Sacharidis Nikolas Theologitis Loukas Kavouras Ioannis Emiris 26 0 0 29 Apr 2024