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2012 IEEE 12th International Conference on Data Mining Workshops
Discriminatory Decision Policy Aware Classification
Brussels, Belgium Belgium
December 10-December 10
ISBN: 978-1-4673-5164-5
Regulations worldwide ban discrimination on many factors, including gender, race, age, etc. This poses a problem for data mining, as learning from historical data containing discriminatory decisions may perpetuate discrimination, even if protected attributes are not used. We focus on discrimination prevention for classification. We introduce a new training set correction approach to handle discriminatory decision policies. Previous training set correction approaches are policy-neutral, our approach specifically targets decision policies evidencing discrimination. The goal is to target specific evidence of discrimination, and thus reduce discrimination with little impact on classification accuracy.
Index Terms:
Training,High definition video,Scholarships,Bismuth,Context,Data mining,Qualifications,decision policy,discrimination,classification
Citation:
Koray Mancuhan, Chris Clifton, "Discriminatory Decision Policy Aware Classification," icdmw, pp.386-393, 2012 IEEE 12th International Conference on Data Mining Workshops, 2012
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