Explainable Artificial Intelligence: A Survey (CROSBI ID 664677)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Došilović, Filip Karlo ; Brčić, Mario ; Hlupić, Nikica
engleski
Explainable Artificial Intelligence: A Survey
In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognition, speech analysis, strategic game planning and many more. The problem with many state-of-the-art models is a lack of transparency and interpretability. The lack of thereof is a major drawback in many applications, e.g. healthcare and finance, where rationale for model's decision is a requirement for trust. In the light of these issues, explainable artificial intelligence (XAI) has become an area of interest in research community. This paper summarizes recent developments in XAI in supervised learning, starts a discussion on its connection with artificial general intelligence, and gives proposals for further research directions.
explainable artificial intelligence ; interpretability ; explainability ; comprehensibility
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Podaci o prilogu
210-215.
2018.
objavljeno
10.23919/MIPRO.2018.8400040
Podaci o matičnoj publikaciji
Proceedings of the 41st International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2018
Skala, Karolj
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-096-0
Podaci o skupu
MIPRO 2018
predavanje
21.05.2018-25.05.2018
Opatija, Hrvatska
Povezanost rada
Računarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti