Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

31 May 2022

Papers citing "Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria"

8 / 8 papers shown

Title
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification Sura Alhanouti Parinaz Naghizadeh 29 0 0 08 May 2025
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing Yifan Yang Yang Liu Parinaz Naghizadeh 46 1 0 10 Apr 2025
Fair Machine Guidance to Enhance Fair Decision Making in Biased People Mingzhe Yang Hiromi Arai Naomi Yamashita Yukino Baba FaML 39 6 0 08 Apr 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 30 7 0 25 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 488 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,084 0 24 Oct 2016