Explaining Algorithmic Fairness Through Fairness-Aware Causal Path
Decomposition

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition

11 August 2021

Changshui Zhang

Papers citing "Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition"

16 / 16 papers shown

Title
Detecting clinician implicit biases in diagnoses using proximal causal inference Kara Liu Russ Altman Vasilis Syrgkanis CML 48 0 0 27 Jan 2025
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 42 0 0 03 Jun 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 50 0 0 02 Apr 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 21 2 0 16 Feb 2024
Detecting algorithmic bias in medical-AI models using trees Jeffrey Smith Andre L. Holder Rishikesan Kamaleswaran Yao Xie 40 1 0 05 Dec 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 36 11 0 15 Oct 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 26 1 0 26 Jun 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 41 23 0 14 Feb 2023
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 35 13 0 07 Dec 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 30 13 0 22 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 24 5 0 16 Jun 2022
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity Analysis Bishwamittra Ghosh D. Basu Kuldeep S. Meel FaML 12 9 0 01 Jun 2022
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
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui Weishen Pan Jian Liang Changshui Zhang Fei Wang FedML 14 84 0 19 Aug 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 27 23 0 18 Aug 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018