Selection, Ignorability and Challenges With Causal Fairness

Selection, Ignorability and Challenges With Causal Fairness

28 February 2022

Jake Fawkes

Dino Sejdinovic

Papers citing "Selection, Ignorability and Challenges With Causal Fairness"

15 / 15 papers shown

Title
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 76 0 0 28 Apr 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 63 0 0 10 Nov 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 35 1 0 12 Oct 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 116 36 0 16 Feb 2024
Counterfactual Fairness Is Not Demographic Parity, and Other Observations Ricardo Silva 13 2 0 05 Feb 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 21 6 0 30 Nov 2023
Results on Counterfactual Invariance Jake Fawkes R. Evans 13 4 0 17 Jul 2023
Navigating Fairness Measures and Trade-Offs Stefan Buijsman 23 8 0 17 Jul 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 53 0 0 01 Jun 2023
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 15 15 0 07 Aug 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 30 8 0 20 Jul 2022
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis Ruta Binkyt.e Ljupcho Grozdanovski Sami Zhioua FaML 18 0 0 08 Jul 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Mingming Gong OOD FaML 19 19 0 27 May 2022
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 25 21 0 30 Aug 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 106 0 20 Oct 2020