articleAug 8, 2016Closed access
"Why Should I Trust You?"
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.
Citation impact
14,917
total citations
- FWCI
- 726.19
- Percentile
- 100%
- References
- 38
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Trustworthiness
- Computer science
- Action (physics)
- Data science
- Data modeling
- Artificial intelligence
- Computer security
- Software engineering
No related works found for this paper.