Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

27 November 2018

Papers citing "Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved"

50 / 63 papers shown

Title
Critical Appraisal of Fairness Metrics in Clinical Predictive AI João Matos Ben Van Calster Leo Anthony Celi Paula Dhiman J. Gichoya R. Riley Chris Russell Sara Khalid Gary S. Collins 17 0 0 20 Jun 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 88 0 0 18 Feb 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 111 3 0 29 Aug 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 124 4 0 10 Jun 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 233 1 0 13 Mar 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 186 0 0 20 Feb 2024
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness Zachary McBride Lazri Ivan Brugere Xin Tian Dana Dachman-Soled Antigoni Polychroniadou Danial Dervovic Min Wu 53 1 0 23 Oct 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 55 4 0 18 Feb 2023
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio FaML 49 0 0 16 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 58 6 0 13 Jan 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 66 9 0 03 Nov 2022
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice Wesley Hanwen Deng B. Guo Alicia DeVrio Hong Shen Motahhare Eslami Kenneth Holstein MLAU 106 65 0 07 Oct 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 84 23 0 05 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 58 16 0 11 Jul 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 47 5 0 16 Jun 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus 78 23 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 139 110 0 16 May 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 103 51 0 18 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 69 5 0 13 Apr 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 76 14 0 24 Feb 2022
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 114 131 0 21 Dec 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
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 70 30 0 10 Sep 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 80 22 0 09 Jul 2021
Unaware Fairness: Hierarchical Random Forest for Protected Classes Xian Li 23 0 0 30 Jun 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 90 81 0 23 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 60 32 0 10 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
When Fair Ranking Meets Uncertain Inference Avijit Ghosh Ritam Dutt Christo Wilson 109 46 0 05 May 2021
Hard Choices and Hard Limits for Artificial Intelligence B. Goodman 30 4 0 04 May 2021
Strong Optimal Classification Trees S. Aghaei Andrés Gómez P. Vayanos 70 42 0 29 Mar 2021
Responsible AI: Gender bias assessment in emotion recognition Artem Domnich G. Anbarjafari 149 50 0 21 Mar 2021
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity David Liu Zohair Shafi W. Fleisher Tina Eliassi-Rad Scott Alfeld 47 9 0 16 Mar 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
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 67 30 0 12 Feb 2021
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 130 51 0 20 Dec 2020
Fair for All: Best-effort Fairness Guarantees for Classification A. Krishnaswamy Zhihao Jiang Kangning Wang Yu Cheng Kamesh Munagala FaML 180 10 0 18 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 129 252 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
CryptoCredit: Securely Training Fair Models Leo de Castro Jiahao Chen Antigoni Polychroniadou 47 3 0 09 Oct 2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion Mukund Telukunta Venkata Sriram Siddhardh Nadendla FaML 23 0 0 09 Sep 2020
Learning Unbiased Representations via Rényi Minimization Vincent Grari Oualid El Hajouji Sylvain Lamprier Marcin Detyniecki FaML 63 21 0 07 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 57 23 0 30 Aug 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 77 81 0 28 Jul 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
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 126 208 0 03 Jun 2020