Training individually fair ML models with Sensitive Subspace Robustness

ICLR 2020 Mikhail YurochkinAmanda BowerYuekai Sun

We consider training machine learning models that are fair in the sense that their performance is invariant under certain sensitive perturbations to the inputs. For example, the performance of a resume screening system should be invariant under changes to the gender and/or ethnicity of the applicant... (read more)

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