Visualization for AI Explainability

L. Miguel Encarnacao; Jorn Kohlhammer; Chad A. Steed

doi:10.1109/MCG.2022.3208786

Visualization for AI Explainability

L. Miguel Encarnacao, Jorn Kohlhammer, Chad A. Steed

Data Science and Visualization

Research output: Contribution to journal › Review article › peer-review

1 Scopus citations

Abstract

This special section features articles on human-centered design and the use of user interfaces and data visualizations in support of making systems, which employ artificial intelligence and machine learning, easier to understand and more accurately to interpret, thus supporting their transparency and increasing trust in their application, whether it is during the design and development phase of a model, during its training and execution, or in a post hoc phase focusing on the use of models in practical applications.

Original language	English
Pages (from-to)	9-10
Number of pages	2
Journal	IEEE Computer Graphics and Applications
Volume	42
Issue number	6
DOIs	https://doi.org/10.1109/MCG.2022.3208786
State	Published - Nov 1 2022

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10.1109/MCG.2022.3208786

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Visualization for AI Explainability

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