CV Lattes
ORCID
Abstract
Fairness in Machine Learning is an area that aims to use techniques focused on mitigating discriminatory effects in decisions executed by Machine Learning, preserving as much as possible the accuracy of the decision. In this area, there are three possibilities of intervention to produce fairer classifiers, which are distinguished among them by the intervening stage. They are pre-processin…