<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Ongoing progress in the introduction of new technologies, rapid social adaptation to the fourth industrial revolution, implementation of new solutions related to information and communication become incentives to conduct interdisciplinary scientific analyses. The following paper is a review article and the presented analysis to a large extent is based on theoretical considerations referring to studies of other authors. Presenting the sources of this notion in the context of industry 4.0 and sustainable development is a foundation for possible further experimental research. However, the primary aim of this article is to demonstrate the sources of scientific interest in artificial intelligence, directions of research on this notion and potential sociological research areas related to AI. Another goal of this article is to indicate the implications that can be used in planned research projects. The scope of the analysis is largely based on the study of literature.</p></abstract>

Ongoing progress in the introduction of new technologies, rapid social adaptation to the fourth industrial revolution, implementation of new solutions related to information and communication become incentives to conduct interdisciplinary scientific analyses. The following paper is a review article and the presented analysis to a large extent is based on theoretical considerations referring to studies of other authors. Presenting the sources of this notion in the context of industry 4.0 and sustainable development is a foundation for possible further experimental research. However, the primary aim of this article is to demonstrate the sources of scientific interest in artificial intelligence, directions of research on this notion and potential sociological research areas related to AI. Another goal of this article is to indicate the implications that can be used in planned research projects. The scope of the analysis is largely based on the study of literature.

Dilemmas of Artificial Intelligence Development – Sociological Considerations Around Industry 4.0 and Sustainability

Conference Quality Production Improvement – CQPI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Ongoing progress in the introduction of new technologies, rapid social adaptation to the fourth industrial revolution, implementation of new solutions related...

Dilemmas of Artificial Intelligence Development – Sociological Considerations Around Industry 4.0 and Sustainability

Pubblicato online: 27 ott 2020

Pagine: 87 - 94

Ricevuto: 29 lug 2020

Accettato: 03 set 2020

DOI: https://doi.org/10.2478/cqpi-2020-0011

Parole chiave
industry 4.0, sustainability, artificial intelligence, social development

© 2020 Małgorzata Suchacka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Dilemmas of Artificial Intelligence Development – Sociological Considerations Around Industry 4.0 and Sustainability

Pubblicato online: 27 ott 2020

Pagine: 87 - 94

Ricevuto: 29 lug 2020

Accettato: 03 set 2020

DOI: https://doi.org/10.2478/cqpi-2020-0011

Parole chiaveindustry 4.0, sustainability, artificial intelligence, social development

© 2020 Małgorzata Suchacka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
industry 4.0, sustainability, artificial intelligence, social development