Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

NeurIPS 2018 David MadrasToniann PitassiRichard Zemel

In many machine learning applications, there are multiple decision-makers involved, both automated and human. The interaction between these agents often goes unaddressed in algorithmic development... (read more)

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