Counterfactual Fairness Is Basically Demographic Parity

7 August 2022

Papers citing "Counterfactual Fairness Is Basically Demographic Parity"

10 / 10 papers shown

Title
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models Kefan Song Jin Yao Runnan Jiang Rohan Chandra Shangtong Zhang ALM 46 0 0 10 Mar 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 31 0 0 31 Dec 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 41 2 0 03 Sep 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 32 3 0 29 May 2024
The Capacity for Moral Self-Correction in Large Language Models Deep Ganguli Amanda Askell Nicholas Schiefer Thomas I. Liao Kamil.e Lukovsiut.e ... Tom B. Brown C. Olah Jack Clark Sam Bowman Jared Kaplan LRM ReLM 31 158 0 15 Feb 2023
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 128 45 0 12 Jul 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 19 0 28 Feb 2022
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 75 82 0 13 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 192 2,082 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015