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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"

40 / 40 papers shown

Title
Preserving AUC Fairness in Learning with Noisy Protected Groups Mingyang Wu Li Lin Wenbin Zhang Xin Wang Zhenhuan Yang Shu Hu NoLa 160 2 0 24 May 2025
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 130 14 0 28 May 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 186 0 0 20 Feb 2024
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 47 5 0 02 Oct 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 89 19 0 30 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 68 9 0 03 Nov 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 87 8 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 114 17 0 17 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 126 45 0 22 Jul 2022
Achievement and Fragility of Long-term Equitability Andrea Simonetto Ivano Notarnicola 55 1 0 24 Jun 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 81 23 0 20 May 2022
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings S. Matthews John Stephen Hudzina Dawn Sepehr AILaw FaML 61 13 0 24 Mar 2022
Fairness-aware Online Price Discrimination with Nonparametric Demand Models Xi Chen Jiameng Lyu Xuan Zhang Yuanshuo Zhou 55 7 0 16 Nov 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 60 20 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 150 47 0 01 Oct 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 51 0 0 21 Sep 2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice Jiahao Chen Victor Storchan Eren Kurshan 50 11 0 11 Aug 2021
Estimation of Fair Ranking Metrics with Incomplete Judgments Ömer Kirnap Fernando Diaz Asia J. Biega Michael D. Ekstrand Ben Carterette Emine Yilmaz 68 38 0 11 Aug 2021
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI J. Chubb S. Missaoui S. Concannon Liam Maloney James Alfred Walker 49 35 0 20 Jul 2021
Auditing for Diversity using Representative Examples Vijay Keswani L. E. Celis 69 3 0 15 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 82 22 0 09 Jul 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data Eugenia Iofinova Nikola Konstantinov Christoph H. Lampert FaML 94 0 0 22 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 60 32 0 10 Jun 2021
Fairness-Aware Unsupervised Feature Selection Xiaoying Xing Hongfu Liu Chen Chen Jundong Li FaML 72 14 0 04 Jun 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 90 16 0 20 May 2021
Robust Classification via Support Vector Machines Vali Asimit I. Kyriakou Simone Santoni Salvatore Scognamiglio Rui Zhu AAML OOD 23 3 0 27 Apr 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 95 58 0 16 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
A Statistical Test for Probabilistic Fairness Bahar Taşkesen Jose H. Blanchet Daniel Kuhn Viet Anh Nguyen FaML 76 41 0 09 Dec 2020
Improving Fairness and Privacy in Selection Problems Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan Somayeh Sojoudi 147 27 0 07 Dec 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 132 252 0 15 Nov 2020
Debiasing classifiers: is reality at variance with expectation? Ashrya Agrawal Florian Pfisterer B. Bischl Francois Buet-Golfouse Srijan Sood Jiahao Chen Sameena Shah Sebastian J. Vollmer CML FaML 36 18 0 04 Nov 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 147 339 0 23 Jun 2020
Probabilistic Fair Clustering Seyed-Alireza Esmaeili Brian Brubach Leonidas Tsepenekas John P. Dickerson FaML 78 37 0 19 Jun 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 43 23 0 15 Mar 2020
Fair Learning with Private Demographic Data Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 94 76 0 26 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 76 122 0 21 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 102 395 0 21 Jan 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 73 27 0 30 Dec 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Helen Zhou FaML FedML 66 234 0 23 Aug 2019