Manipulating and Measuring Model Interpretability
arXiv: Artificial Intelligence, Volume abs/1802.07810, 2018.
Despite a growing body of research focused on creating interpretable machine learning methods, there have been few empirical studies verifying whether interpretable methods achieve their intended effects on end users. We present a framework for assessing the effects of model interpretability on users via pre-registered experiments in whic...More
PPT (Upload PPT)