ARTIFICIAL INTELLIGENCE AS A TRANSFORMATIVE FORCE IN GLOBAL SOCIO-ECONOMIC SYSTEMS
Abstract
The paper examines artificial intelligence as a key transformative driver shaping contemporary socio-economic and cultural systems. Rather than focusing solely on technological evolution, the study emphasizes the systemic impact of AI on decision-making processes, institutional efficiency, and human-machine interaction. The research highlights how advanced machine learning methods and generative models are redefining practices in healthcare, economic management, mobility systems, education, cultural production, and public safety. Alongside the technological advantages, the article critically addresses emerging challenges, including ethical dilemmas, algorithmic bias, data security concerns, and the risks of excessive automation. The analysis underscores the importance of developing adaptive regulatory frameworks and responsible governance models to ensure sustainable and socially balanced integration of artificial intelligence technologies in the future.
References
1. Altemirova, Kh. S. (2023). Artificial intelligence and its potential applications in various areas of human activity. Young Scientist, 48(495), 5–7.
2. Gusakov, A. A., & Ryabov, D. Yu. (2023). The impact of artificial intelligence on human life. In Applied Electrodynamics, Photonics, and Living Systems (pp. 364–365). Kazan: Sagiev A.R. Publishing.
3. Kovalenko, T. A., & Nikiforov, R. V. (2021). Artificial intelligence in the modern world. In Scientific Space: Current Issues of Theory and Practice (pp. 11–15). Cheboksary: Expert-Methodological Center.
4. Kozhevatkin, V. K., & Lopatkin, G. O. (2023). Practical applications of artificial intelligence. In All-Russian Scientific Readings (pp. 102–106). Petrozavodsk: New Science International Research Partnership Center.
5. Koshelev, A. V., & Erokhina, E. V. (2019). Exploring the role of technologies based on advanced knowledge. Meridian Scientific Electronic Journal, 12(30), 336–338.
6. Mayorova, E. V., & Dolgushina, N. A. (2020). Society and artificial intelligence: Risks and future prospects. In Artificial Intelligence and Digitalization of Education (pp. 47–54). Belgorod: Belgorod National Research University.
7. Muraveiko, K. V., & Beloded, N. I. (2023). Artificial intelligence and machine learning in business. In Technological Independence and Competitiveness of the Union State, CIS, EAEU, and SCO Countries (pp. 308–313). Minsk: Belarusian State Technological University.
8. Mukhtyarova, G. M., & Amirova, E. F. (2023). Key trends in the development of digital technologies. In Student Science for Agricultural Production (pp. 272–283). Kazan: Kazan State Agrarian University.
9. Nosov, N. Yu., & Sokolov, M. D. (2016). Trends in the development of artificial intelligence. Modern Scientific Research and Innovations, 5(61), 86–89.
10. Pyrnova, O. A., & Zaripova, R. S. (2020). Prospects for the development of expert systems. Information Technologies in Construction, Social, and Economic Systems, 3(21), 55–57.
