Decoupled classifiers for fair and efficient machine learning

CoRR, Volume abs/1707.06613, 2017.

Cited by: 9|Bibtex|Views47
EI
Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

When it is ethical and legal to use a sensitive attribute (such as gender or race) in machine learning systems, the question remains how to do so. We show that the naive application of machine learning algorithms using sensitive features leads to an inherent tradeoff in accuracy between groups. We provide a simple and efficient decoupli...More

Code:

Data:

Your rating :
0

 

Tags
Comments