What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems

Owen Lahav, Nicholas Mastronarde, Mihaela van der Schaar

Recent efforts in Machine Learning (ML) interpretability have focused on creating methods for explaining black-box ML models. However, these methods rely on the assumption that sim…