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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

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

50 / 448 papers shown

Title
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation Hao Liang Pietro Perona Guha Balakrishnan CVBM 64 15 0 10 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity S. Kim Stefan Lessmann G. Andreeva Michael Rovatsos FaML 81 5 0 01 Aug 2023
Monitoring Algorithmic Fairness under Partial Observations T. Henzinger Konstantin Kueffner Kaushik Mallik MLAU 90 3 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 99 1 0 28 Jul 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 107 21 0 27 Jul 2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification James Atwood Tina Tian Ben Packer Meghana Deodhar Jilin Chen Alex Beutel Flavien Prost Ahmad Beirami FaML 58 1 0 11 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Helen Zhou Na Zou 77 4 0 09 Jul 2023
Scaling Laws Do Not Scale Fernando Diaz Michael A. Madaio 112 12 0 05 Jul 2023
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems Furkan Gursoy I. Kakadiaris 75 5 0 02 Jul 2023
Balanced Filtering via Disclosure-Controlled Proxies Siqi Deng Emily Diana Michael Kearns Aaron Roth 77 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 100 8 0 26 Jun 2023
Auditing Predictive Models for Intersectional Biases Karen Boxer E. McFowland Daniel B. Neill 29 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 105 3 0 22 Jun 2023
Intersectionality and Testimonial Injustice in Medical Records Kenya Andrews Bhuvani Shah Lu Cheng 58 0 0 20 Jun 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 64 0 0 19 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 103 12 0 04 Jun 2023
Auditing for Human Expertise Rohan Alur Loren Laine Darrick K. Li Manish Raghavan Devavrat Shah Dennis L. Shung 72 8 0 02 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 102 28 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 76 0 0 29 May 2023
Monitoring Algorithmic Fairness T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik FaML 66 6 0 25 May 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection Vyoma Raman Eve Fleisig Dan Klein 58 0 0 24 May 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 62 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 86 2 0 21 May 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 80 39 0 11 May 2023
Statistical Inference for Fairness Auditing John J. Cherian Emmanuel J. Candès MLAU 88 11 0 05 May 2023
Maximizing Submodular Functions for Recommendation in the Presence of Biases Anay Mehrotra Nisheeth K. Vishnoi 65 7 0 03 May 2023
On the Impact of Data Quality on Image Classification Fairness Aki Barry Lei Han Gianluca Demartini 105 5 0 02 May 2023
How to address monotonicity for model risk management? Dangxing Chen Weicheng Ye 51 6 0 28 Apr 2023
Optimizing fairness tradeoffs in machine learning with multiobjective meta-models William La Cava FaML 61 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 95 13 0 19 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 89 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 85 19 0 27 Mar 2023
An investigation of licensing of datasets for machine learning based on the GQM model Junyu Chen Norihiro Yoshida Hiroaki Takada 72 2 0 24 Mar 2023
Agnostic Multi-Robust Learning Using ERM Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 58 0 0 15 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 99 1 0 14 Mar 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 235 19 0 08 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 94 2 0 03 Mar 2023
Travel Demand Forecasting: A Fair AI Approach Xiaojian Zhang Qian Ke Xilei Zhao AI4TS 58 4 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 80 11 0 02 Mar 2023
Intersectional Fairness: A Fractal Approach Giulio Filippi Sara Zannone Adriano Soares Koshiyama 29 1 0 24 Feb 2023
Auditing for Spatial Fairness Dimitris Sacharidis G. Giannopoulos George Papastefanatos Kostas Stefanidis 23 2 0 23 Feb 2023
On (assessing) the fairness of risk score models Eike Petersen M. Ganz Sune Holm Aasa Feragen FaML 67 21 0 17 Feb 2023
Auditing large language models: a three-layered approach Jakob Mokander Jonas Schuett Hannah Rose Kirk Luciano Floridi AILaw MLAU 169 216 0 16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 69 5 0 13 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 47 20 0 13 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 76 21 0 12 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 98 2 0 12 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 85 12 0 11 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 72 10 0 08 Feb 2023
Participatory Personalization in Classification Hailey J James Chirag Nagpal Katherine A. Heller Berk Ustun 74 5 0 08 Feb 2023