Evaluating Fairness Metrics in the Presence of Dataset Bias

Evaluating Fairness Metrics in the Presence of Dataset Bias

24 September 2018

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Papers citing "Evaluating Fairness Metrics in the Presence of Dataset Bias"

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Title
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework Nathan G. Drenkow Mitchell Pavlak Keith Harrigian Ayah Zirikly Adarsh Subbaswamy M. M. Farhangi N. Petrick Mathias Unberath MLAU 123 1 0 13 Mar 2025
QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities Mae Sosto Alberto Barrón-Cedeño 58 4 0 18 Jun 2024
Navigating Fairness in Radiology AI: Concepts, Consequences,and Crucial Considerations V. Venugopal Abhishek Gupta R. Takhar Charlene Jin Yee Liew Catherine Jones G. Szarf 41 1 0 02 Jun 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 81 4 0 06 Apr 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 91 14 0 06 Mar 2023
A Seven-Layer Model for Standardising AI Fairness Assessment A. K. Agarwal Harshna Agarwal 52 0 0 21 Dec 2022
Fairness and Bias in Robot Learning Laura Londoño Juana Valeria Hurtado Nora Hertz P. Kellmeyer S. Voeneky Abhinav Valada FaML 73 9 0 07 Jul 2022
Do Deep Networks Transfer Invariances Across Classes? Allan Zhou Fahim Tajwar Alexander Robey Tom Knowles George J. Pappas Hamed Hassani Chelsea Finn OOD 71 18 0 18 Mar 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 81 30 0 10 Jan 2022
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Prateek Yadav Peter Hase Joey Tianyi Zhou 68 11 0 01 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 84 29 0 25 Oct 2021
Measure Twice, Cut Once: Quantifying Bias and Fairness in Deep Neural Networks Cody Blakeney G. Atkinson Nathaniel Huish Yan Yan V. Metsis Ziliang Zong 47 3 0 08 Oct 2021
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 54 23 0 30 Aug 2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 51 17 0 14 Jun 2020
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 137 1,613 0 18 Jun 2019