OPPORTUNITIES AND THREATS OF USING ARTIFICIAL INTELLIGENCE IN THE LABOR MARKET: INTERNATIONAL FORECAST AND NATIONAL PERSPECTIVES

Main Article Content

K. KRAYENKOVA
K. MITSKEVICH

Abstract

The article outlines the theoretical aspects and directions of AI development in the modern world, presents a classification, and spheres of its application in real economic conditions. Based on the research, the following are compiled: a list of top professions at the global and national levels; the structure of vacancies and resumes on the national market; a comparison of trends in the labor market outlined by international and national expert organizations in the field of the labor market with trends identified using AI; an assessment of the opinion of AI (chatbots ChatGPT and Gemini) on the issues of evaluating and forecasting the development directions of the labor market, demand and supply for various professions in the Republic of Belarus.

Article Details

How to Cite
KRAYENKOVA, K., & MITSKEVICH, K. (2024). OPPORTUNITIES AND THREATS OF USING ARTIFICIAL INTELLIGENCE IN THE LABOR MARKET: INTERNATIONAL FORECAST AND NATIONAL PERSPECTIVES. Vestnik of Polotsk State University. Part D. Economic and Legal Sciences, (1), 29-38. https://doi.org/10.52928/2070-1632-2024-66-1-29-38
Section
Экономические науки
Author Biography

K. KRAYENKOVA, Vitebsk State Technological University

канд. экон. наук

References

Макаров И.М., Топчеев Ю.И. Робототехника: История и перспективы Рос. акад. наук. – М.: Наука; МАИ, 2003. – 349 с.

Barr A., Feigenbaum E. Handbook of Artificial Intelligence. – Stanford: HeurisTech Press, 1989. – 442 p.

Ciresan D., Meier U., Schmidhuber J. Multi-column deep neural networks for image classification // IEEE Conference on Computer Vision and Pattern Recognition journal. – 2012 – P. 3642–3649. DOI: https://doi.org/10.1109/cvpr.2012.6248110.

McCarthy J. What is artificial intelligence? – Stanford: Stanford University, 2004 – 22 p.

Deep Learning Based Text Classification: A Comprehensive Review [Electronic resource] / Sh. Minaee, N. Kalchbrenner, E. Cambria, N. Nikzad, M. Chenaghlu, G. Jianfeng, – URL: https://www.researchgate.net/publication/340523298_Deep_Learning_Based_TextClassification_A_Comprehensive_Review/citation/download (accessed: 2023-11-23).

Minsky M. Why people think computers can’t // AI Magazine. – 1982. – Vol. 3, No 4. – P. 3–15.

Russell S., Norvig P. Artificial Intelligence: A Modern Approach. – Upper Saddle River: Prentice Hall, 1995. – 15 p.

Russell S., Norvig P. Artificial Intelligence: A Modern Approach (2nd ed). – Upper Saddle River: Prentice Hall, 2017. – 19 p.