Provably Improving Expert Predictions with Conformal Prediction. (arXiv:2201.12006v1 [cs.LG])

Web: http://arxiv.org/abs/2201.12006

Automated decision support systems promise to help human experts solve tasks
more efficiently and accurately. However, existing systems typically require
experts to understand when to cede agency to the system or when to exercise
their own agency. Moreover, if the experts develop a misplaced trust in the
system, their performance may worsen. In this work, we lift the above
requirement and develop automated decision support systems that, by design, do
not require experts to understand when to trust them to …

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