Fairness Under Feature Exemptions: Counterfactual and Observational Measures

14 Jun 2020Sanghamitra DuttaPraveen VenkateshPiotr MardzielAnupam DattaPulkit Grover

With the growing use of AI in highly consequential domains, the quantification and removal of bias with respect to protected attributes, such as gender, race, etc., is becoming increasingly important. While quantifying bias is essential, sometimes the needs of a business (e.g., hiring) may require the use of certain features that are critical in a way that any bias that can be explained by them might need to be exempted... (read more)

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