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
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Xia Hu Na Zou 34 4 0 09 Jul 2023
Scaling Laws Do Not Scale Fernando Diaz Michael A. Madaio 28 8 0 05 Jul 2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems Furkan Gursoy I. Kakadiaris 33 4 0 02 Jul 2023
Balanced Filtering via Disclosure-Controlled Proxies Siqi Deng Emily Diana Michael Kearns Aaron Roth 30 0 0 26 Jun 2023
Fairness Aware Counterfactuals for Subgroups Loukas Kavouras Konstantinos Tsopelas G. Giannopoulos Dimitris Sacharidis Eleni Psaroudaki Nikolaos Theologitis D. Rontogiannis Dimitris Fotakis Ioannis Emiris 63 8 0 26 Jun 2023
Auditing Predictive Models for Intersectional Biases Karen Boxer E. McFowland Daniel B. Neill 24 2 0 22 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities Xudong Shen H. Brown Jiashu Tao Martin Strobel Yao Tong Akshay Narayan Harold Soh Finale Doshi-Velez 37 3 0 22 Jun 2023
Intersectionality and Testimonial Injustice in Medical Records Kenya Andrews Bhuvani Shah Lu Cheng 31 0 0 20 Jun 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 29 0 0 19 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 34 10 0 04 Jun 2023
Auditing for Human Expertise Rohan Alur Loren Laine Darrick K. Li Manish Raghavan Devavrat Shah Dennis L. Shung 15 7 0 02 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 39 24 0 30 May 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 32 0 0 29 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 32 6 0 25 May 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection Vyoma Raman Eve Fleisig Dan Klein 27 0 0 24 May 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 41 2 0 21 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 44 2 0 21 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 35 31 0 11 May 2023
Statistical Inference for Fairness Auditing John J. Cherian Emmanuel J. Candès MLAU 47 8 0 05 May 2023
Maximizing Submodular Functions for Recommendation in the Presence of Biases Anay Mehrotra Nisheeth K. Vishnoi 19 6 0 03 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 50 4 0 02 May 2023
How to address monotonicity for model risk management? Dangxing Chen Weicheng Ye 23 5 0 28 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models William La Cava FaML 22 4 0 21 Apr 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 51 10 0 19 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 37 0 0 30 Mar 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 33 18 0 27 Mar 2023
An investigation of licensing of datasets for machine learning based on the GQM model Junyu Chen Norihiro Yoshida Hiroaki Takada 33 2 0 24 Mar 2023
Agnostic Multi-Robust Learning Using ERM Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 44 0 0 15 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 38 1 0 14 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 18 0 08 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 31 2 0 03 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 35 3 0 03 Mar 2023
Dynamic fairness-aware recommendation through multi-agent social choice Amanda A. Aird Paresha Farastu Joshua Sun Elena Stefancova Cassidy All A. Voida Nicholas Mattei Robin Burke FaML 39 11 0 02 Mar 2023
Intersectional Fairness: A Fractal Approach Giulio Filippi Sara Zannone Adriano Soares Koshiyama 27 1 0 24 Feb 2023
Auditing for Spatial Fairness Dimitris Sacharidis G. Giannopoulos George Papastefanatos Kostas Stefanidis 16 2 0 23 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 28 20 0 17 Feb 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 55 196 0 16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 43 3 0 13 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 28 15 0 13 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 23 20 0 12 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 29 2 0 12 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 37 12 0 11 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 15 9 0 08 Feb 2023
Participatory Personalization in Classification Hailey J James Chirag Nagpal Katherine A. Heller Berk Ustun 39 4 0 08 Feb 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 34 6 0 08 Feb 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs Hao Liang J. O. Caro Vikram Maheshri Ankit B. Patel Guha Balakrishnan CVBM CML 23 0 0 07 Feb 2023
From Utilitarian to Rawlsian Designs for Algorithmic Fairness Daniel E. Rigobon FaML 30 1 0 07 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 30 17 0 07 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 40 11 0 06 Feb 2023
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning Jiashuo Jiang 23 0 0 02 Feb 2023