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Manipulating and Measuring Model Interpretability.

arXiv: Artificial Intelligence, (2018)

Cited by: 188|Views137
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Abstract

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

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