Naslov
Explainable Artificial Intelligence: An Updated Perspective

Autori
Krajna, Agneza ; Kovac, Mihael ; Brcic, Mario ; Sarcevic, Ana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) / - : Institute of Electrical and Electronics Engineers (IEEE), 2022, 859-864

Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)

Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
artificial intelligence , explainability , interpretability , AI safety , graph neural networks

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA