Tel: +998977838464
Search

Son 5 (2026)
Marketing

Ilmiy maqolalar

ARTIFICIAL INTELLIGENCE IN HUMAN CAPITAL EVALUATION: A HUMAN-CENTERED GOVERNANCE PERSPECTIVE

Nashr etilgan 2026-06-05

Mualliflar
Habibullo Hamidovich Ziyavitdinov
pdf Google Scholar Google Scholar

Annotatsiya

Mazkur maqolada sun’iy intellektning inson kapitalini baholash jarayonlaridagi
o‘rni va ahamiyati o‘rganildi. Tadqiqotda xodimlarni tanlash, faoliyat samaradorligini
baholash, kasbiy rivojlanishni rejalashtirish hamda ishchi kuchiga bo‘lgan ehtiyojlarni
prognozlashda sun’iy intellekt texnologiyalarining imkoniyatlari tahlil qilindi.
Natijalar sun’iy intellekt ma’lumotlarni tezkor qayta ishlash, kompetensiyalarni
aniqlash va rivojlantirish ehtiyojlarini baholash samaradorligini oshirganini ko‘rsatdi.
Shaffoflik, adolatlilik, tushuntiriluvchanlik va inson nazorati tamoyillari sun’iy
intellekt asosidagi baholash tizimlarining ishonchliligini ta’minlagani asoslandi.
Tadqiqot inson markazli boshqaruv yondashuvi tashkilotlarda strategik qarorlar sifatini
yaxshilashga xizmat qilganini tasdiqladi. 

Kalit so'zlar

sun’iy intellekt, inson kapitali, kompetensiya, baholash, kadrlar boshqaruvi, shaffoflik, adolatlilik, inson nazorati, strategik boshqaruv.

Adabiyotlar ro'yxati

  1. 1. Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with
  2. special reference to education (3rd ed.). University of Chicago Press.
  3. 2. Ekuma, K. (2024). Artificial intelligence and automation in human resource
  4. development: A systematic review. Human Resource Development Review, 23(2), 199-229. https://doi.org/10.1177/15344843231224009
  5. 3. Gmyrek, P., Berg, J., Kaminski, K., Konopczynski, F., Ladna, A., Nafradi, B.,
  6. Rosłaniec, K., & Troszynski, M. (2025). Generative AI and jobs: A refined global
  7. index of occupational exposure (ILO Working Paper No. 140). International Labour Organization. https://doi.org/10.54394/HETP0387
  8. 4. Gong, Q., Fan, D., & Bartram, T. (2025). Integrating artificial intelligence and
  9. human resource management: A review and future research agenda. The International Journal of Human Resource Management, 36(1), 103-141.
  10. https://doi.org/10.1080/09585192.2024.2440065
  11. 5. Green, A. (2024). Artificial intelligence and the changing demand for skills in
  12. the labour market (OECD Artificial Intelligence Papers No. 14). OECD Publishing. https://doi.org/10.1787/88684e36-en
  13. 6. Langer, M., & König, C. J. (2023). Introducing a multi-stakeholder perspective
  14. on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management. Human Resource Management Review, 33(1), 100881. https://doi.org/10.1016/j.hrmr.2021.100881
  15. 7. OECD. (2023). AI and the future of skills, Volume 2: Methods for evaluating
  16. AI capabilities. OECD Publishing. https://doi.org/10.1787/a9fe53cb-en
  17. 8. Regulation (EU) 2024/1689 of the European Parliament and of the Council of
  18. 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial
  19. Intelligence Act). Official Journal of the European Union.
  20. 9. Rigotti, C., & Fosch-Villaronga, E. (2024). Fairness, AI and recruitment.
  21. Computer Law & Security Review, 53, 105966.
  22. https://doi.org/10.1016/j.clsr.2024.105966
  23. 10. Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in
  24. human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910

Yuklab olishlar

Yuklab olish ma’lumotlari hali mavjud emas.