Investigating Human + Machine Complementarity for Recidivism Predictions

28 Aug 2018Sarah TanJulius AdebayoKori InkpenEce Kamar

When might human input help (or not) when assessing risk in fairness domains? Dressel and Farid (2018) asked Mechanical Turk workers to evaluate a subset of defendants in the ProPublica COMPAS data for risk of recidivism, and concluded that COMPAS predictions were no more accurate or fair than predictions made by humans... (read more)

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