An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision

Wang Hanchen
Wang Hanchen
Grgic-Hlaca Nina
Grgic-Hlaca Nina
Cited by: 4|Bibtex|Views65
Other Links: arxiv.org

Abstract:

The notion of individual fairness requires that similar people receive similar treatment. However, this is hard to achieve in practice since it is difficult to specify the appropriate similarity metric. In this work, we attempt to learn such similarity metric from human annotated data. We gather a new dataset of human judgments on a cri...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments