Сунъий интеллектнинг инсон ресурсларини бошқаришга таъсири

Ғойипназаров С.Б.

Annotatsiya

Тадқиқотда сунъий интеллект имкониятлари ва уларни инсон ресурсларини бошқариш тизимига жорий этиш қандай ижтимоий ва иқтисодий таъсирларга эгалиги ҳамда бу таъсирнинг алоҳида жиҳатлари ўрганилган. Шунингдек, мақолада сунъий интеллектни жорий этиш шароитларида инсон ресурслари соҳасидаги меҳнат жараёнлари, меҳнат унумдорлиги ва иш билан бандлик ҳамда меҳнатни муҳофаза қилиш соҳасидаги муносабатларининг ўзгаришига оид таҳлиллар ва илмий асослар муҳокама қиқлинган.

Kalit so'zlar:

сунъий интеллект, рақамли инсон ресурсларини бошқариш, инсон ресурсларини бошқариш трансформацияси, меҳнат жараёнларини автоматлаштириш

Foydalanilgan manbalar:

  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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 14. Кобот // https://www.prorobot.ru/slovarik/kobot.php
  15. 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. 16. Van den Broek, E. (2017), “Monitoring technology in the workplace”, EU-OSHA Discussion papers, EUOSHA.

DOI manzili: DOI manzili kiritilmagan

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