Wasserstein-based fairness interpretability framework for machine learning models

Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks +1

The objective of this article is to introduce a fairness interpretability framework for measuring and explaining the bias in classification and regression models at the level of a…