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[D] Predicting whether model made a mistake

In many cases, for example in policy networks, it would be useful to be able to assess whether user intervention is necessary (for example if there is no clear candidate intent/action for a given input). However, it is reasonable to assume that a model performing poorly is also bad at estimating whether it is performing poorly. Does there exist any research regarding this issue?

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.