Using Explainable AI to Measure Feature Contribution to Uncertainty

The application of artificial intelligence techniques in safety-critical domains such as medicine and self-driving vehicles has raised questions regarding its trustworthiness and reliability. One well-researched avenue for improving trust in and reliability of deep learning is uncertainty quantifica...

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Bibliographic Details
Main Authors: Katherine Elizabeth Brown, Douglas A. Talbert
Format: Article
Language:English
Published: LibraryPress@UF 2022-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
Online Access:https://journals.flvc.org/FLAIRS/article/view/130662
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