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4 results for Fairwashing

Fairwashing occurs when machine learning models are made to appear fair through rationalization.

problem Rationalizing unfair black-box models to appear fair.
method LaundryML uses a regularized rule list enumeration algorithm to find fair rule lists approximating an unfair model.
result It is possible to systematically rationalize decisions from unfair black-box models using model and outcome explanations.