Manipulating and Measuring Model Interpretability

arXiv: Artificial Intelligence, Volume abs/1802.07810, 2018.

被引用120|引用|浏览76|来源
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摘要

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...更多

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