Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

1 June 2019

Papers citing "Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination"

50 / 78 papers shown

Title
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions Omer Noy Klein Alihan Huyuk Ron Shamir Uri Shalit M. Schaar FaML 48 0 0 13 Mar 2025
Learning With Multi-Group Guarantees For Clusterable Subpopulations Jessica Dai Nika Haghtalab Eric Zhao 28 0 0 18 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 37 1 0 12 Oct 2024
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S Saikrishna Badrinarayanan Osonde Osoba Miao Cheng Ryan Rogers Sakshi Jain Rahul Tandra Natesh S. Pillai 21 0 0 06 Sep 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 22 4 0 17 Aug 2024
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 27 0 0 27 Jun 2024
Robust Fair Clustering with Group Membership Uncertainty Sets Sharmila Duppala Juan Luque John P. Dickerson Seyed-Alireza Esmaeili FaML 39 0 0 02 Jun 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks Renqiang Luo Huafei Huang Shuo Yu Zhuoyang Han Estrid He Xiuzhen Zhang Feng Xia 34 3 0 27 May 2024
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 32 3 0 27 May 2024
Algorithmic Fairness: A Tolerance Perspective Renqiang Luo Tao Tang Feng Xia Jiaying Liu Chengpei Xu Leo Yu Zhang Wei Xiang Chengqi Zhang FaML 71 0 0 26 Apr 2024
Predictive Performance Comparison of Decision Policies Under Confounding Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu OffRL 32 0 0 01 Apr 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities Dana Moukheiber S. Mahindre L. Moukheiber Mira Moukheiber Mingchen Gao 56 2 0 27 Mar 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 102 0 0 20 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 33 0 0 17 Feb 2024
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools Sundaraparipurnan Narayanan 28 0 0 16 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 47 6 0 05 Dec 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Joey Tianyi Zhou Jian Wu Zuo-Qiang Liu MU 29 57 0 19 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 18 2 0 02 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Optimal and Fair Encouragement Policy Evaluation and Learning Angela Zhou OffRL 24 3 0 12 Sep 2023
Partial identification of kernel based two sample tests with mismeasured data Ron Nafshi Maggie Makar 21 0 0 07 Aug 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 19 6 0 06 Jul 2023
Quantifying Distributional Model Risk in Marginal Problems via Optimal Transport Yanqin Fan Hyeonseok Park Gaoqian Xu 16 1 0 03 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 26 9 0 30 May 2023
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection Vyoma Raman Eve Fleisig Dan Klein 19 0 0 24 May 2023
Off-policy evaluation beyond overlap: partial identification through smoothness Samir Khan Martin Saveski J. Ugander OffRL 33 5 0 19 May 2023
Echoes of Biases: How Stigmatizing Language Affects AI Performance Yizhi Liu Weiguang Wang G. Gao Ritu Agarwal 21 2 0 17 May 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness Héber H. Arcolezi K. Makhlouf C. Palamidessi 32 6 0 25 Apr 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 17 5 0 15 Mar 2023
Group Fairness with Uncertainty in Sensitive Attributes Abhin Shah Maohao Shen Jeonghun Ryu Subhro Das P. Sattigeri Yuheng Bu G. Wornell FaML 6 5 0 16 Feb 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 14 9 0 27 Jan 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 19 9 0 03 Nov 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 32 7 0 29 Sep 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 30 15 0 17 Aug 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti P. Yi Jeremias Sulam 14 4 0 25 Jul 2022
Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing Xi Chen Jiameng Lyu Yining Wang Yuan Zhou 24 1 0 22 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
Achievement and Fragility of Long-term Equitability Andrea Simonetto Ivano Notarnicola 14 1 0 24 Jun 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 21 21 0 20 May 2022
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings S. Matthews John Stephen Hudzina Dawn Sepehr AILaw FaML 13 12 0 24 Mar 2022
Distributionally Robust Data Join Pranjal Awasthi Christopher Jung Jamie Morgenstern OOD 21 3 0 11 Feb 2022
Treatment Effect Risk: Bounds and Inference Nathan Kallus CML 11 15 0 15 Jan 2022
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 65 46 0 29 Nov 2021
Fairness-aware Online Price Discrimination with Nonparametric Demand Models Xi Chen Jiameng Lyu Xuan Zhang Yuanshuo Zhou 17 6 0 16 Nov 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 28 18 0 26 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 73 45 0 01 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 49 33 0 21 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 8 0 0 21 Sep 2021