UDC 65:004.8
Dmitri A. Beloborodov, PhD student at Institute of Economics and Management Herzen State Pedagogical University of Russia, St. Petersburg, e-mail: dab62@yandex.ru
The article presents sociological directions for managing a modern enterprise, justifying the relevance of applying artificial intelligence technologies in enterprise management, classifying artificial intelligence technologies and addressing the risks and problems associated with using artificial intelligence technologies. The relevance of the chosen topic is due to the trend towards digital transformation and the implementation of artificial intelligence in various areas of enterprise management, as well as the role of artificial intelligence technologies as a “driver” of business process modernization. Scientific research methods include the analysis and synthesis of information presented in studies by Russian and foreign scientists, as well as empirical data obtained as a result of implementing artificial intelligence technologies in an IT company. As a result of applied sociological research, the advantages and risks of using artificial intelligence technologies were discovered and explained, and problems related to its integration into enterprise management were identified. The theoretical significance of the work lies in the fact that theoretical and methodological foundations for the application of AI technologies have been proposed. Although there are many materials devoted to defining the significance of artificial intelligence technologies, there is still a lack of research covering the sociological aspect of forming a new “hybrid” social environment and culture and its impact on the development of human resources. The article highlights the sociological aspect of integrating artificial intelligence into business practices, analyzes various approaches to defining the role and significance of human intelligence and “non-human intellectual entities”.
Keywords: artificial intelligence, management, decision-making, hybrid social environment, artificial sociality.
References
1. Glukhikh, V.A., Eliseev, S.M., Kirsanova, N.P. Artificial Intelligence as a Problem of Modern Sociology. Discourse. 2022. V. 8. No. 1. P. 82–93.
2. Gorina, E.V., Klushina, U.K. Artificial Intelligence for Real-Time Enterprise Management. Regional Informatics (RI-2022): Jubilee XVIII St. Petersburg International Conference. P. 490-491.
3. Gorina, E.V., Klushina, U.K. Artificial Intelligence for Real-Time Enterprise Management. Vestnik of Young Scientists of St. Petersburg State University of Technology and Design. 2022. No. 1. P. 30–33.
4. Zarubin, V.G. Sociology of Management. V.G. Zarubin, V.A. Semenov (eds). Moscow: Yurait, 2020. P. 42–47.
5. Latour, B. Reassembling the Social: An Introduction to Actor-Network Theory. I. Polonskaya (transl. from Eng.). S. Gavrilenko (ed). Moscow: HSE Publishing House, 2014. 384 p. (In Rus.)
6. Morhat, P.M. Artificial Intelligence: a legal perspective: a monograph. Мoscow, 2017. 420 p.
7. Naumov, V.B., Kamalova, G.G. Issues of construction of legal definitions in the sphere of artificial intelligence. Proceedings of the Institute of State and Law of the Russian Academy of Sciences. 2020. V. 15. No. 1. P. 81–93.
8. Ponkin, I.V., Redkina, A.I. Artificial Intelligence in terms of law. Vestnik of Peoples’ Friendship University of Russia. Ser.: Juridical sciences. 2018. V. 22. No. 1. P. 91–109.
9. Rezaev, A.V. Twelve Theses on Artificial Intelligence and Artificial Sociality. Public Opinion Monitoring: Economic and Social Changes. 2021. No. 1. P. 20–30. DOI: 10.14515/monitoring.2021.1.1894.
10. Rudenko, L.G., Bondarev, A.V. Development of artificial intelligence in business. Sustainable development: research, innovation, transformation: Proceedings of XVIII International Congress with elements of scientific school for young scientists. Moscow: S.Y. Witte Moscow University, 2022. P. 1262–1268.
11. Shakir R.A. ‘Understanding sociology’ by M. Weber and cynicism as a form of social behaviour. Philosophy and Culture. 2019. No. 4. P. 1–11.
12. Yablonsky, P.K., Rezaev, A.V., Tregubova, N.D. et al. From Artificial Intelligence to Artificial Sociality. Moscow: Russian Public Opinion Research Center, 2020. 258 p.
- Boden, M. AI: Its Nature and Future. Oxford: Oxford University Press, 2016. 156 p.
- Kwilinski, A., Tkachenko, V., Kuzior, A. Transparent Cognitive Technologies to Ensure Sustainable Society Development. Journal of Security and Sustainability Issues. 2019. Vol. 9. No. 2. P. 561–570.
- Ransbotham, S., Kiron, D., Candelon, F., Khodabandeh, S., Chu, M. Achieving Individual and Organizational Value with AI [Electronic resource]. MITSloan Management Review. 2022. URL: https://sloanreview.mit.edu/projects/achieving-individual-and-organizational-value-with-ai/ (accessed on: 03.03.2023).
- Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach. Pearson Education Limited. Malaysia, 2016. 1136 p.
- Artificial Intelligence in Society [Electronic resource]. OECD. 2022. URL: https://www.oecd.org/digital/artificial-intelligence/ (accessed on: 03.03.2023).
- PwC’s Global Artificial Intelligence Study: Sizing the prize [Electronic resource]. PWC. 2023. URL: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html (accessed on: 03.03.2023).
.png)
