Current problems of using artificial intelligence in HR management in Kazakhstan


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Authors

  • А. Bekisheva Korkyt Ata Kyzylorda University
  • K. Beketova Korkyt Ata Kyzylorda university

DOI:

https://doi.org/10.32523/2789-4320-2024-3-80-93

Keywords:

HR, artificial intelligence, company, electronic system, recruiting, chatbot, program

Abstract

The article provides an understanding of artificial intelligence in the field of HR, and it is said that the digitization of the industry is reflected in the widespread use of artificial intelligence. The theory and history of the field of artificial intelligence is systematized by reviewing the works of researchers. The possibilities of using artificial intelligence are clarified and its efficiency is considered. As a result of the study, it was determined that artificial intelligence is used in four main categories in the field of HR, and it was found that there is a high demand for automated resume search, analysis, and selection services. At the same time, in order to invite candidates for a vacant position, including the identification of qualified talented employees, chatbots, Skype interviews, the use of information on online recruiting platforms such as HeadHunter, notification of vacancies at fairs, and pilot projects introduced by the state will be analyzed. The features of artificial intelligence programs introduced in the Kazakhstan labor exchange, and changes brought to the HR system, the advantages and disadvantages will be discussed. Especially as the most effective programs in the field of artificial intelligence in recent years: IBM's Deep Blue program, Alvinn program for driving, and Microsoft Application and Services Group's talking robot program, the importance of research on the specificity of programs in the field of medicine and pharmaceuticals will be analyzed and considered as examples of regional enterprises.

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Published

2024-09-26

How to Cite

Bekisheva А., & Beketova, K. (2024). Current problems of using artificial intelligence in HR management in Kazakhstan. ECONOMIC Series of the Bulletin of the L N Gumilyov ENU, (3), 80–93. https://doi.org/10.32523/2789-4320-2024-3-80-93

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