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...

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Detalhes bibliográficos

Principais autores:	Ivars Namatēvs, Kaspars Sudars, Artis Dobrājs
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Institute of Fundamental Technological Research Polish Academy of Sciences 2022-07-01
Colecção:	Computer Assisted Methods in Engineering and Science
Assuntos:	explainable artificial intelligence interpretable machine learning deep learning deep neural networks interpretability explainability
Acesso em linha:	https://cames.ippt.pan.pl/index.php/cames/article/view/518
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