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Research of the Best Practices of Artificial Intelligence in the Formation and Development of Personnel

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Growth Poles of the Global Economy: Emergence, Changes and Future Perspectives

Abstract

The article deals with topical issues of application of technologies based on artificial intelligence models in the field of human resources management. The purpose of this research is to analyze the practice of introduction of artificial intelligence in the process of personnel management of organizations, as well as to determine the prospects and potential dangers of this phenomenon. The basis of the research methodology is mainly based on the methods of processing large amounts of information: content analysis, systematization, generalization and structuring of information. This enabled the authors to explore a significant array of data from different companies on the practice of artificial intelligence application, in the field of HR-management. The article gives examples of the use of special programs on work with personnel at different stages of the personnel cycle, from search and attraction of candidates to training and consulting of employees of the organization. According to various personnel agencies, the research devoted to the evaluation of the effectiveness of the introduction of information technologies in the sphere of work with human resources in Russian organizations. In the conclusions of the article the key directions of application of artificial intelligence technologies in the management of human resources, as well as the key risks and dangers that await specialists on personnel management in this area.

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Correspondence to Arina V. Listikova .

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Listikova, A.V., Egorov, E.E., Lebedeva, T.E., Bulganina, S.V., Prokhorova, M.P. (2020). Research of the Best Practices of Artificial Intelligence in the Formation and Development of Personnel. In: Popkova, E. (eds) Growth Poles of the Global Economy: Emergence, Changes and Future Perspectives. Lecture Notes in Networks and Systems, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-15160-7_137

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