A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set

31 March 2020

Papers citing "A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set"

7 / 7 papers shown

Title
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 40 20 0 03 Sep 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 21 1 0 02 Feb 2023
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 14 18 0 26 Jul 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 20 0 0 16 Feb 2022
To what extent should we trust AI models when they extrapolate? Roozbeh Yousefzadeh Xuenan Cao 8 5 0 27 Jan 2022
Representative & Fair Synthetic Data P. Tiwald Alexandra Ebert Daniel Soukup 19 12 0 07 Apr 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016