DISCRIMINATION PREVENTION USING RULE PROTECTION AND RULE GENERALIZATION

Abstract

Discrimination is the process of unequally treating people on the basis of their belonging to a specific group. If the decisions are based on sensitive attributes (gender, race, religion, etc.,) then the results may ensue. For this reason antidiscrimination technique such as rule protection and rule generalization is used. Rule protection and Rule generalization is a two step process. The first step is to measure discrimination and identify categories and groups of individuals that have been directly discriminated in the decision-making processes. The second step is to transform data in the proper way to remove all those discriminatory biases. Finally, discrimination- free data models can be produced from the transformed data set without seriously damaging data quality. Keywords: Data mining, discrimination, classification rule, rule generalization, rule protection.