"Why Should I Trust You?": Explaining the Predictions of Any Classifier

KDD 2016
Pages: 1135 - 1144
Published: Aug 13, 2016
Abstract
Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an untrustworthy model or prediction into a trustworthy one. In...
Paper Details
Title
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Published Date
Aug 13, 2016
Journal
Pages
1135 - 1144
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