Are fairness metric scores enough to assess discrimination biases in machine learning?

8 June 2023

Papers citing "Are fairness metric scores enough to assess discrimination biases in machine learning?"

7 / 7 papers shown

Title
On Explaining with Attention Matrices Omar Naim Nicholas Asher 34 1 0 24 Oct 2024
Evaluating Model Bias Requires Characterizing its Mistakes Isabela Albuquerque Jessica Schrouff David Warde-Farley Ali Taylan Cemgil Sven Gowal Olivia Wiles 56 2 0 15 Jul 2024
A Note on Bias to Complete Jia Xu Mona Diab 59 2 0 18 Feb 2024
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection Fatma Elsafoury Stamos Katsigiannis 38 1 0 22 May 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 39 45 0 19 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016