Risks and Opportunities of Using Artificial Intelligence in the Profession of Sociologist
https://doi.org/10.26794/2226-7867-2024-14-3-85-91
Abstract
The article contains the results of the author’s sociological research concerning the study of the risks and opportunities of using artificial intelligence in the profession of a sociologist. The study was conducted by the method of expert interviews. The paper reveals the degree of permissibility of using artificial intelligence at various stages of sociological research, describes the experience of experts using new technologies in research activities, and identifies the advantages and disadvantages of its use for both students and experienced sociologists. The authors of the article discuss the impact of artificial intelligence on the methods and practices used by sociologists, possible ethical dilemmas that may arise in the process of its implementation in sociology. Special attention is paid to the use of the neural network by students of sociology and the consequences of this trend on their quality of training and competencies. The impact of the introduction of artificial intelligence on the transformation of the labor market is emphasized.
Keywords
artificial intelligence,
sociologist,
sociology,
risks,
opportunities,
use of artificial intelligence,
labor market
Supporting agencies: The paper was prepared on the results of scientific research carried out at the expense of budgetary funds within the framework of the government research assignment to the Financial University
About the Authors
K. M. Avdonina
Financial University
Russian Federation
Russian Federation
Ksenia M. Avdonina — a 4th year student of the Department of Social Sciences and Mass Communications
Moscow
Ya. N. Smirnova
Financial University
Russian Federation
Russian Federation
Yana N. Smirnova — a 4th year student of the Department of Social Sciences and Mass Communications
Moscow
References
1. Tikhonov A. A. Big data and deep machine learning in artificial neural networks. Nauka i obrazovanie segodnya = Science and Education today. 2018;6(29):35–38. (In Russ.).
2. Bostrom N. Artificial intelligence. Stages. Threats. Strategies. Moscow: Mann, Ivanov i Ferber; 2016. 496 p. (In Russ.).
3. Milgizin I. E., Baeva L. V. On the issue of creativity in artificial intelligence neural networks. URL: https://cyberleninka.ru/article/n/k-voprosu-o-kreativnosti-v-neyrosetyah-iskusstvennogo-intellekta (In Russ.).
4. Delegodina L. A. Forecast of energy consumption in the ASKUE NSC by an artificial neural network. Problemy informatiki = Problems of informatics. 2012;1(13):66–72. (In Russ.).
5. Dubrovsky D. I. Artificial intelligence and the problem of consciousness. Moscow: IInteLL; 2005. (In Russ.).
6. Volodenkov S. V., Fedorchenko S. N. Subjectivity of digital communication in the context of technological evolution of the Internet: Features and scenarios of transformation. URL: https://cyberleninka.ru/article/n/subektnost-tsifrovoy-kommunikatsii-v-usloviyah-tehnologicheskoy-evolyutsii-interneta-osobennosti-istsenarii-transformatsii (In Russ.).
7. Rykov V. P. Modular principle of training artificial neural networks on the example of well-known neural network topologies. Vestnik Tambovskogo universiteta. Seriya: Estestvennye i tekhnicheskie nauki = Bulletin of the Tambov University. Series: Natural and Technical Sciences. 2014;19(2):583–586. (In Russ.).
8. Abdullaev, E. A. Artificial intelligence: Current achievements and prospects. Molodoj uchenyj = Young scientist. 2023;33(480):9–10. (In Russ.).
9. Turovsky Ya.A., Kurgalin S. D., Adamenko A. A. Automation of neurochip training. Aktual’nye napravleniya nauchnyh issledovanij veka: teoriya i praktika = Current directions of scientific research of the century: theory and practice. 2015;(5):191–196. (In Russ.).
10. Rezaev A. V., Tregubova N. D. “Artificial intelligence”, “online culture”, “artificial sociality”: Definition of concepts. Monitoring obshchestvennogo mneniya: ekonomicheskie i social’nye peremeny = Monitoring of public opinion: economic and social changes. 2019;(6):35–47. (In Russ.).
11. Sulimin V. V., Shvedov V. V. Analysis of the use of artificial intelligence in the digital economy to improve transparency and efficiency of public administration. URL: https://cyberleninka.ru/article/n/analizispolzovaniya-iskusstvennogo-intellekta-v-tsifrovoy-ekonomike-dlya-uluchsheniya-prozrachnosti-ieffektivnosti (In Russ.).
12. Rezaev A. V., Tregubova N. D. Artificial intelligence and artificial sociality: New phenomena, problems and tasks for the social sciences. Monitoring obshchestvennogo mneniya: ekonomicheskie i social’nye peremeny = Monitoring public opinion: economic and social changes. 2021;(1):4–19. (In Russ.).
13. Rezaev A. V., Tregubova N. D. From sociology to new social analytics: The crisis of sociology and the problem of artificial intelligence. Sociologicheskoe obozrenie = Sociological Review. 2021;20(3):280–301. (In Russ.).
Review
For citations:
Avdonina K.M., Smirnova Ya.N. Risks and Opportunities of Using Artificial Intelligence in the Profession of Sociologist. Humanities and Social Sciences. Bulletin of the Financial University. 2024;14(3):85-91. (In Russ.) https://doi.org/10.26794/2226-7867-2024-14-3-85-91
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