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.

Keywords

TrustworthinessComputer scienceAction (physics)Data scienceData modelingArtificial intelligenceComputer securitySoftware engineering

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Publication Info

Year
2016
Type
article
Pages
1135-1144
Citations
13311
Access
Closed

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Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin (2016). "Why Should I Trust You?". , 1135-1144. https://doi.org/10.1145/2939672.2939778

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DOI
10.1145/2939672.2939778