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Artificial General Intelligence vs. Industry 4.0 : Do They Need Each Other?

Year of publication

2022

Authors

Kumpulainen, Samu; Terziyan, Vagan

Abstract

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays the current hype on development and industrial adoption of the AI systems is mostly associated with the deep learning, i.e., with the abilities of the AI to perform various specific cognitive activities better than humans do. However, what about the Artificial General Intelligence (AGI), associated with the generic ability of a machine to perform consciously any task that a human can? Do we have many samples of the AGI research adopted by Industry 4.0 and used for smart manufacturing? In this paper, we report the systematic mapping study regarding the AGI-related papers (published during the five-year period) to find out whether AGI is giving up its positions within AI as an attractive tool to address the industry needs. We show what the major concerns of the AGI academic community are nowadays and how the AGI findings have been already or could be potentially applied within the Industry 4.0. We have discovered that the gap between the AGI studies and the industrial needs is still high and even has some indications to grow. However, some AGI-related findings have potential to make real value in smart manufacturing. https://ai.it.jyu.fi/ISM-2021-AGI.pptx
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Organizations and authors

University of Jyväskylä

Kumpulainen Samu

Terziyan Vagan Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A4 Article in conference proceedings

Publication channel information

Publisher

Elsevier

Volume

200

Pages

140-150

​Publication forum

71301

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object]

Publication country

Netherlands

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1016/j.procs.2022.01.213

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes