СУНЪИЙ ИНТЕЛЛЕКТНИНГ ИНСОН РЕСУРСЛАРИНИ БОШҚАРИШГА ТАЪСИРИ

Affiliation
Tashkent State University of Economics image/svg+xml

Abstract

The research examines the possibilities of artificial intelligence and the social and economic effects of its introduction into the human resource management system, as well as the specific aspects of this effect. The article also discusses the analysis and scientific basis of the changes in labor processes in the field of human resources, labor productivity and employment and labor protection in the conditions of the introduction of artificial intelligence.

Keywords

artificial intelligence, digital human resource management, human resource management transformation, work process automation


References

  1. Fang Xin, Liu Xin. On the opportunities and problems of human resource management in the era of artificial intelligence [J]. Journal of Shandong Institute of Administration, 2019(04):104-109
  2. Strohmeier S, Piazza F. Artificial intelligence techniques in human resource management - a conceptual study [J] Intelligent techniques in engineering management, 2015: 149-172
  3. Jia, Qiong; Guo, Yue; Lee, Rong; Lee, Yurong; and Chen, Yuwei, "A Conceptual Framework for the Application of Artificial Intelligence in Human Resource Management" [C]. ICEB. 2018 Proceedings, 2018
  4. Strohmeier S, Piazza F. Artificial intelligence techniques in human resource management - a conceptual study [J] Intelligent techniques in engineering management, 2015: 149-172
  5. Qi Xiangyu. Artificial intelligence + HR, the happening future —— Interview with Zhang Chaolei, chairman of Yiqifei (Beijing) Human Resources Technology Co., Ltd [J]. Human Resources, 2017 (12): 12 -18
  6. Yamamoto, I. (2019), “The impact of AI and information technologies on worker stress”, VoxEU, https://voxeu.org/article/impact-ai-and-information-technologies-worker-stress
  7. EU-OSHA (2018), Key trends and drivers of change in information and communication technologies and work location, http://dx.doi.org/10.2802/515834
  8. Saint-Martin, A., H. Inanc and C. Prinz (2018), “Job Quality, Health and Productivity: An evidence-based framework for analysis”, OECD Social, Employment and Migration Working Papers, No. 221, OECD Publishing, Paris, https://doi.org/10.1787/a8c84d91-en
  9. Yamamoto, I. (2019), “The impact of AI and information technologies on worker stress”, VoxEU, https://voxeu.org/article/impact-ai-and-information-technologies-worker-stress
  10. EU-OSHA (2018), Key trends and drivers of change in information and communication technologies and work location, http://dx.doi.org/10.2802/515834
  11. 1 Goldberg, K. (2019), “Robots and the return to collaborative intelligence”, Nature Machine Intelligence, Vol. 1/1, pp. 2-4, http://dx.doi.org/10.1038/s42256-018-0008-x
  12. Moore, P. (2019), “OSH and the Future of Work: benefits and risks of artificial intelligence tools in workplaces”, EU-OSHA Discussion papers, EU- OSHA, Bilbao, https://osha.europa.eu/en/publications/osh-and-future-work-benefits-and-risks-artificial-intelligencetools-workplaces/view
  13. Knudsen, M. and J. Kaívo-Oja (2020), “Collaborative Robots: Frontiers of Current Literature”, Journal of Intelligent Systems: Theory and Applications, pp. 13-20, http://dx.doi.org/10.38016/jista.682479
  14. Кобот // https://www.prorobot.ru/slovarik/kobot.php
  15. Nielsen, P. et al. (2016), “Are Transformational and Transactional Types of Leadership Compatible? A Panel Study of Work Motivation”, Paper presented at 74th Annual Midwest Political Science Association Conference, Chicago
  16. Van den Broek, E. (2017), “Monitoring technology in the workplace”, EU-OSHA Discussion papers, EUOSHA

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