A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence

The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of modern machine learning methods, especially deep and reinforcement learning, have created high expectations for industrial, commercial, and so...

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Główni autorzy:	Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad-Hossein Motallebi, Juliano Rabelo, Talat Syed, Hengshuai Yao, Peter Chun
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2021-11-01
Seria:	Machine Learning and Knowledge Extraction
Hasła przedmiotowe:	interpretation explanation explainable artificial intelligence causal explanation explainee-specific explanation evaluation of explainable AI
Dostęp online:	https://www.mdpi.com/2504-4990/3/4/45
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