Interpretability versus Explainability: Classification for Understanding Deep Learning Systems and Models

The techniques of explainability and interpretability are not alternatives for many realworld problems, as recent studies often suggest. Interpretable machine learning is not a subset of explainable artificial intelligence or vice versa. While the former aims to build glass-box predictive models, th...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Ivars Namatēvs, Kaspars Sudars, Artis Dobrājs
Format:	Artigo
Sprog:	Inglês
Udgivet:	Institute of Fundamental Technological Research Polish Academy of Sciences 2022-07-01
Serier:	Computer Assisted Methods in Engineering and Science
Fag:	explainable artificial intelligence interpretable machine learning deep learning deep neural networks interpretability explainability
Online adgang:	https://cames.ippt.pan.pl/index.php/cames/article/view/518
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!