Bias Mitigation Post-processing for Individual and Group Fairness

Pranay Kr. Lohia; Karthikeyan Natesan Ramamurthy; Manish Bhide; Diptikalyan Saha; Kush R. Varshney; Ruchir Puri

ICASSP 2019accepted0 citations

Bias Mitigation Post-processing for Individual and Group Fairness

Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri

Abstract

Whereas previous post-processing approaches for increasing the fairness of predictions of biased classifiers address only group fairness, we propose a method for increasing both individual and group fairness. Our novel framework includes an individual bias detector used to prioritize data samples in a bias mitigation algorithm aiming to improve the group fairness measure of disparate impact. We show superior performance to previous work in the combination of classification accuracy, individual fairness and group fairness on several real-world datasets in applications such as credit, employment, and criminal justice.

BibTeX

@inproceedings{icassp2019_biasmitigationpo,
  title = {Bias Mitigation Post-processing for Individual and Group Fairness},
  author = {Pranay Kr. Lohia and Karthikeyan Natesan Ramamurthy and Manish Bhide and Diptikalyan Saha and Kush R. Varshney and Ruchir Puri},
  booktitle = {ICASSP 2019},
  year = {2019}
}