Explainable Artificial Intelligence: An Updated Perspective (CROSBI ID 721058)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Krajna, Agneza ; Kovac, Mihael ; Brcic, Mario ; Sarcevic, Ana
engleski
Explainable Artificial Intelligence: An Updated Perspective
Artificial intelligence has become mainstream and its applications will only proliferate. Specific measures must be done to integrate such systems into society for the general benefit. One of the tools for improving that is explainability which boosts trust and understanding of decisions between humans and machines. This research offers an update on the current state of explainable AI (XAI). Recent XAI surveys in supervised learning show convergence of main conceptual ideas. We list the applications of XAI in the real world with concrete impact. The list is short and we call to action - to validate all the hard work done in the field with applications that go beyond experiments on datasets, but drive decisions and changes. We identify new frontiers of research, explainability of reinforcement learning and graph neural networks. For the latter, we give a detailed overview of the field.
artificial intelligence , explainability , interpretability , AI safety , graph neural networks
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Podaci o prilogu
859-864.
2022.
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objavljeno
10.23919/mipro55190.2022.9803681
Podaci o matičnoj publikaciji
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)
Institute of Electrical and Electronics Engineers (IEEE)
1847-3938
1847-3946
Podaci o skupu
MIPRO 2022
predavanje
23.05.2022-27.05.2022
Opatija, Hrvatska