Fairwashing: the risk of rationalization

1 code implementation • 28 Jan 2019 • Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp

Black-box explanation is the problem of explaining how a machine learning model -- whose internal logic is hidden to the auditor and generally complex -- produces its outcomes.

BIG-bench Machine Learning Fairness