Representation Bias in Data: A Survey on Identification and Resolution Techniques

22 March 2022

Papers citing "Representation Bias in Data: A Survey on Identification and Resolution Techniques"

9 / 9 papers shown

Title
Dataset Representativeness and Downstream Task Fairness Victor A. Borza Andrew Estornell Chien-Ju Ho Bradley Malin Yevgeniy Vorobeychik 27 0 0 28 Jun 2024
Justice in Healthcare Artificial Intelligence in Africa Aloysius Ochasi A. J. Mahamadou Russ B. Altman 38 0 0 15 Jun 2024
Representation Debiasing of Generated Data Involving Domain Experts Aditya Bhattacharya Simone Stumpf K. Verbert 34 2 0 17 May 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 76 0 25 Jan 2024
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 121 0 16 Jul 2021
Adaptive Sampling for Minimax Fair Classification S. Shekhar Greg Fields Mohammad Ghavamzadeh T. Javidi FaML 35 36 0 01 Mar 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016