I have a new paper out that will be presented at the AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI. This paper introduces a formal model to explore rule-based explanations for classifiers. Explanations of this sort explain a classification by providing a simple sufficiency condition. For example, if an applicant’s loan is rejected by a predictive model, a rule-based explanation may be that the application belongs to the group with outstanding debt greater than $X...