ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В УПРАВЛЕНИИ ПЕРСОНАЛОМ: ВОЗМОЖНОСТИ И УГРОЗЫ
DOI:
https://doi.org/10.22394/c68grz64Abstract
Introduction. Digital economy has generated a completely new model of human-machine interaction based on the active use of digital technologies in almost all spheres of human activity. Most information systems used by organizations are integrated with big data analytics, which requires higher qualified staff. The job responsibilities of employees change according to industry and corporate needs. The requirements for staff qualification are increasing, urging the company HR service to find, attract and retain specialists of the required qualifications, and organize staff development in the organization. Innovations in decision-making algorithms make artificial intelligence the most useful tool for implementing a human resource management strategy in an organization.
Materials and methods. The article uses general scientific research methods, such as qualitative analysis, observation method, synthesis, logical induction method and others. The information basis of the article consists of scientific research works, official documents, and information posted in the media. A secondary analysis of the research on the topic under study was carried out.
Results. Despite the fact that the processes related to personnel management have always been a human cognitive ability, artificial intelligence technologies can currently provide technical solutions in the field of recruitment and further staff development. Artificial intelligence plays an important role in collecting candidate data from various sources, and is able to evaluate the required candidates based on a job description more effectively and objectively than a HR officer. Artificial intelligence can more accurately describe a job that corresponds to the business process in skills. Artificial intelligence technologies can play an important role in the process of organizing professional development and retraining of staff. The use of artificial intelligence provides for obtaining more personalized and understandable results excluding the "human factor". In this article, special attention is paid to artificial intelligence technologies, which can be effectively used in staff management. The opportunities to increase the HR employees’ productivity are considered, main risks of artificial intelligence introduction are highlighted and recommendations for its efficient application are given. The research novelty is in identification of the scope of the use of artificial intelligence in the organizational personnel policy, making it possible to realize the opportunities for revealing the creative potential of the organization’s employees and increase competitiveness. Discussion. It is absolutely clear that AI is becoming an integral part of business ecosystems, and necessary to maintain and increase the level of competitiveness of economic agents. Nevertheless, AI is constantly evolving, which allows companies to expand the functionality of its use. However, it is important to define the boundaries of AI use, including how human-machine interaction will be ensured, which functions can be given to AI, and which can be abandoned.
KEYWORDS: artificial intelligence, human resources management, digital economy, recruitment and staff development
References
1. ГОЛОВИНА А. Н., ПЕШКОВА А. А. Цифровизация как новый принцип организации производства /Экономические и социально-гуманитарные исследования. 2023. № 2 (38). С. 15–24. DOI 10.24151/2409-1073-2023-2-15-24. EDN BEOMPJ.
2. КОНОВАЛОВ М. А. Преимущества использования цифровых технологий при подборе персонала //Государственное управление. Электронный вестник. 2022. № 94. С. 188–202. DOI 10.24412/
2070-1381-2022-94-188-202. EDN KWUFCB.
3. ДРИВОЛЬСКАЯ Н. А., МОЛОЖАВЕНКО О. А. Цифровизация промышленности как фактор устойчивого развития производства // Экономика и бизнес: теория и практика. 2021. № 9- 1 (79). С. 74–77. DOI 10.24412/2411-0450-2021-9-
1-74-77. EDN GCSRLY.
4. ДОЛЖЕНКО Е. Р. Искусственный интеллект и нейронные сети в управлении персоналом // Управление развитием персонала. 2023. № 3. С. 170–178. DOI 10.36627/2619-144X-2023-3-3- 170-178. EDN AWBGRB.
5. GHALLAB, M. (2019). Responsible AI: Require- ments and challenges. AI Perspectives, (1). https://doi.org/10.1186/s42467-019-0003-z.
6. ВАХРУШЕВА М. Ю., ЛУМБИНА К. В. Технологии искусственного интеллекта как фактор повышения эффективности управления персоналом //Труды Братского государственного университета. Серия: Экономика и управление. 2023. Т. 1, . С. 67–73. EDN SSAYER.
7. КУРИНА Т. Н. Искусственный интеллект в управлении персоналом инновационного предприятия // Вестник Российского нового университета. Серия: Человек и общество. 2022. № 2. С. 19–26. DOI 10.18137/RNU.V9276.22.02.P.019. EDN FJBGFW.
8. ВОЛОДИНА О. В. Использование искусственного интеллекта в управлении персоналом // Наука и искусство управления/Вестник Института экономики, управления и права Российского государственного гуманитарного университета. 2022. № 4. С. 55–66. DOI 10.28995/2782-2222-2022-4-55-66. EDN AMIQCR.
9. КРЫЛОВА Д. В., МАКСИМЕНКО А. А. Роль искусственного интеллекта в антикоррупционном рекрутинге // Научный результат. Технологии бизнеса и сервиса. 2022. Т. 8, № 2. С. 94–107. DOI 10.18413/2408-9346-2022-8-2-0-9. EDN FUFUDM.
10. ТЕСЛЕНКО И. Б. Искусственный интеллект в управлении персоналом // Modern Science. 2022. № 6-3. С. 121–124. EDN QOXUTI.
11. ZHANG, B., & DAFOE, A. (2019). Artificial Intelligence: American Attitudes and Trends. SSRN Electronic Journal, Article 3312874. https://doi.org/ 10.2139/ssrn.3312874.
12. ETZIONI, A., & ETZIONI, O. (2017). Should artificial intelligence be regulated. Issues in science and tech- nology, 33(4). https://doi.org/10.2307/j.ctv56fgtg.16.
13. SONI, N., SHARMA, E. K., SINGH, N., & KAPOOR, A. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Pro- cedia Computer Science, (167), 2200–2210. https:// doi.org/10.1016/j.procs.2020.03.272.
14. НАРЕЙКО В. Г. Искусственный интеллект в управлении персоналом // Диалог. 2023. № 1 (23). С. 50–53. EDN FYUKRY.
15. ЧУЛАНОВА О. Л. Развитие и риски технологий искусственного интеллекта в HR // Управление персоналом и интеллектуальными ресурсами в России. 2019. Т. 8, № 6. С. 5–8. DOI 10.12737/2305-7807-2020-5-8. EDN LPYYON.
16. ДЕНИСОВ А. Ф., КАРДАШ Д. С. Анализ практик применения цифровых технологий в отборе персонала // Экономика и управление. 2018. № 6 (152). С. 26–37. EDN XVMAVV.
17. МАРТЫНОВА М. Э., КАМШИЛОВ С. Г. Цифровые технологии в управлении персоналом компании // Общество, экономика, управление. 2019. Т. 4, № 4. С. 69–74. EDN FGMJUB.
18. КОНОВАЛОВА В. Г. Внедрение технологий искусственного интеллекта в системы управления персоналом и трансформация ключевых навыков // Кадровик. 2023. № 10. С. 65–73. EDN ZPIHQS.
19. ПАНТЕЛЕЕВА Т. А., АРУСТАМОВ Э. А., МАКСАЕВ А. А. Возможности искусственного интеллекта в управлении кадровыми ресурсами в условиях свободного предпринимательства // От- ходы и ресурсы. 2019. Т. 6, № 3. EDN PMFCGT.
20. ЧУЛАНОВА О. Л., ХАЙБУЛЛОВА К. Н. Исследование применения технологий искусственного интеллекта в управлении персоналом современных организаций // Вестник евразийской науки. 2020. Т. 12, № 1. EDN MJQGTG.
21. IACONO, S., VALLARINO, M., & VERCELLI, G. V. (2020). Gamification in Corporate Training to Enhance Engagement: An Approach. International Journal of Emerging Technologies in Learning (IJET), 15(17), 69. https://doi.org/10.3991/ijet.v15i17.14207.
22. OSWAL, N., ATEEQ, K., & MATHEW, S. (2021). Trends in Recruitment Information and Communi- cation System using Artificial Intelligence in Indus- try 4.0. In Proceedings of the 3rd International Con- ference on Finance, Economics, Management and IT Business. https://doi.org/10.5220/0010503201110118.
23. BREAUGH, J. A. (2008). Employee recruitment: Current knowledge and important areas for future research. Human Resource Management Review, 18(3), 103–118. https://doi.org/10.1016/j.hrmr.2008.07.003.
24. ЗУБ А. Т., ПЕТРОВА К. С. Искусственный интеллект в корпоративном управлении: возможности и границы применения // Государственное управление. Электронный вестник. 2022. № 94. С. 173–187. DOI 10.24412/2070-1381-2022-94-173-187. EDN FLGKRR.
25. ПОГОДИНА И. В., АВДЕЕВ Д. А. Правовые риски использования искусственного интеллекта в управлении персоналом // Кадровик. 2022. № 1. С. 8–12. EDN PDJZEO.
26. ЛОБАЧЕВА А. С., СОБОЛЬ О. В. Этика применения искусственного интеллекта в управлении персоналом // E-Management. 2021. Т. 4, № 1. С. 20–28. DOI 10.26425/2658-3445-2021-4-1-20-28. EDN OWBUJT.
27. ЕВСЕЕВ В. И. Искусственный интеллект в со- временном мире: надежды и опасности создания и использования // Аэрокосмическая техника и технологии. 2023. Т. 1, № 1. С. 16–34. EDN BFCYAZ.
REFERENCES
1. GOLOVINA, A. N., & PESHKOVA, A. A. (2023). Digitalization as a new principle of production organization. Economic and Social Research, (2), 15–24. https://doi.org/10.24151/2409-1073-2023-2-15-24.
2. KONOVALOV, M. A. (2022). Benefits of using digital technologies in recruitment. E-Journal Public Administration, (94), 188–202. https://doi.org/ 10.24412/2070-1381-2022-94-188-202.
3. DRIVOLSKAYA, N. A., & MOLOZHAVENKO, O. A. (2021). Digitalization of industry as a factor of sus- tainable development of production. Economy and Business: Theory and Practice, (9-1), 74–77. https:/
/doi.org/10.24412/2411-0450-2021-9-1-74-77.
4. DOLZHENKO, E. R. (2023). Artificial intelligence and neural networks in personnel management. Personnel Development Management, (3), 170–178. https://doi.org/10.36627/2619-144X-2023-3-3-170- 178.
5. GHALLAB, M. (2019). Responsible AI: Require- ments and challenges. AI Perspectives, (1). https:// doi.org/10.1186/s42467-019-0003-z.
6. VAKHRUSHEVA, M. YU., & LUMBINA, K. V. (2023). Artificial intelligence technologies as a factor in increasing the efficiency of personnel management. Proceedings of Bratsk State University. Series: Eco- nomics and Management, 1, 67–73. https://elibrary. ru/ssayer.
7. KURINA, T. N. (2022). Artificial intelligence in personnel management in an innovative enterprise. Bulletin of the Russian New University. Series: Man and Society, (2), 19–26. https://doi.org/10.18137/ RNU.V9276.22.02.P.019.
8. VOLODINA, O. V. (2022). The use of artificial intelligence in personnel management. Science and Art of Management / Bulletin of the Institute of Economics, Management and Law of the Russian State University for the Humanities, (4), 55–66. https://doi.org/10.28995/2782-2222-2022-4-55-66.
9. KRYLOVA, D. V., & MAKSIMENKO, A. A. (2022). The role of artificial intelligence in anticorruption recruiting. Research Result. Business and Service Technologies, 8(2), 94–107. https://doi.org/10.1841 3/2408-9346-2022-8-2-0-9.
10. TESLENKO, I. B. (2022). Artificial Intelligence in Personnel Management. Modern Science, (6-3), 121–124. https://elibrary.ru/qoxuti.
11. ZHANG, B., & DAFOE, A. (2019). Artificial Intelligence: American Attitudes and Trends. SSRN Electronic Journal, Article 3312874. https://doi.org/ 10.2139/ssrn.3312874.
12. ETZIONI, A., & ETZIONI, O. (2017). Should artificial intelligence be regulated. Issues in science and tech- nology, 33(4). https://doi.org/10.2307/j.ctv56fgtg.16.
13. SONI, N., SHARMA, E. K., SINGH, N., & KAPOOR, A. (2020). Artificial Intelligence in Business: From Re- search and Innovation to Market Deployment. Pro- cedia Computer Science, (167), 2200–2210. https:// doi.org/10.1016/j.procs.2020.03.272.
14. NAREIKO, V. G. (2023). Artificial intelligence in personnel management. Dialogue, (1), 50–53. https://elibrary.ru/fyukry.
15. CHULANOVA, O. L. (2019). Development and risks of technologies of artificial intelligence in HR. Human Resources and Intellectual Resources Management in Russia, 8(6), 5–8. https://doi.org/10.12737/2305-7807-2020-5-8.
16. DENISOV, A. F., & KARDASH, D. S. (2018). Analysis of application of digital technology in recruit- ment. Economics and Management, (6), 26–37. https:// elibrary.ru/xvmavv.
17. MARTYNOVA, M. E., & KAMSHILOV, S. G. (2019). Digital technologies in company personnel manage- ment. Society, Economy, Management, 4(4), 69–74. https://elibrary.ru/fgmjub.
18. KONOVALOVA, V. G. (2023). Implementation of artificial intelligence technologies in personnel management systems and transformation of key skills. Personnel Officer, (10), 65–73. https://elibrary. ru/zpihqs.
19. PANTELEEVA, T. A., ARUSTAMOV, E. A., & MAKSAEV, A. A. (2019). The possibilities of artificial intel- ligence in the management of human resources in a free enterprise. Waste and Resources, 6(3), 6. https:// elibrary.ru/pmfcgt.
20. CHULANOVA, O. L., & KHAIBULLOVA, K. N. (2020). The study of the application of artificial intelligence technologies in the personnel management of mod- ern organizations. Bulletin of Eurasian Science, 12(1),69. https://elibrary.ru/mjqgtg.
21. IACONO, S., VALLARINO, M., & VERCELLI, G. V. (2020). Gamification in Corporate Training to En- hance Engagement: An Approach. International Journal of Emerging Technologies in Learning (IJET), 15(17), 69. https://doi.org/10.3991/ijet.v15i17.14207.
22. OSWAL, N., ATEEQ, K., & MATHEW, S. (2021). Trends in Recruitment Information and Commu- nication System using Artificial Intelligence in In- dustry 4.0. In Proceedings of the 3rd International Conference on Finance, Economics, Management and IT Business. https://doi.org/10.5220/00105032 01110118.
23. BREAUGH, J. A. (2008). Employee recruitment: Current knowledge and important areas for future research. Human Resource Management Review, 18(3), 103–118. https://doi.org/10.1016/j.hrmr.2008.07.003.
24. ZUB, A. T., & PETROVA, K. S. (2022). Artificial intelligence in corporate governance: Perspectives and boundaries of use. E-Journal Public Administration, (94), 173–187. https://doi.org/10.24412/2070-1381-2022-94-173-187.
25. POGODINA, I. V., & AVDEEV, D. A. (2022). Legal risks of using artificial intelligence in personnel management. Personnel Officer, (1), 8–12. https:// elibrary.ru/pdjzeo.
26. LOBACHEVA, A. S., & SOBOL, O. V. (2021). Ethics of the application of artificial intelligence in human resource management. E-Management, 4(1), 20–28. https://doi.org/10.26425/2658-3445-2021-4-1-20-28.
27. EVSEEV, V. I. (2023). Artificial intelligence in the modern world: Hopes and dangers of creation and use. Aerospace Engineering and Technology, 1(1), 16–34. https://elibrary.ru/bfcyaz.