articleAug 8, 2016Closed access

"Why Should I Trust You?"

University of Washington

Indexed incrossref

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.

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14,917
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Authors

3

Topics & keywords

Keywords
  • Trustworthiness
  • Computer science
  • Action (physics)
  • Data science
  • Data modeling
  • Artificial intelligence
  • Computer security
  • Software engineering
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