Designing Decision Support Systems Using Counterfactual Prediction Sets

arXiv:2306.03928v2 Announce Type: replace
Abstract: Decision support systems for classification tasks are predominantly designed to predict the value of the ground truth labels. However, since their predictions are not perfect, these systems also need to make human experts understand when and how to use these predictions to update their own predictions. Unfortunately, this has been proven challenging. In this context, it has been recently argued that an alternative type of decision support systems may circumvent this challenge. Rather than providing …

arxiv counterfactual cs.cy cs.hc cs.lg decision decision support designing prediction stat.me stat.ml support systems type