24

Mazkur empirik tadqiqotda O‘zbekiston Respublikasidagi davlatga aloqador axborot texnologiyalari kompaniyasi “Uzinfocom”da kadrlar tanlash jarayonlariga sun’iy intellekt (SI) texnologiyalarini integratsiyalash amaliyoti o‘rganiladi. Pilot loyiha doirasida SI vositalaridan foydalanib, inklyuziv ish tavsiflarini yaratish, kompetensiyaga asoslangan suhbat savollarini tuzish hamda onlayn ish platformalari orqali rezyumelarni saralash jarayonlari sinovdan o‘tkazildi. Tadqiqot natijalari shuni ko‘rsatdiki, mazkur yondashuv ishga qabul qilish samaradorligini oshiradi, nomzodlar sifatini yaxshilaydi va jarayonlarni standartlashtirishga xizmat qiladi. Shuningdek, kichik hajmdagi kadrlar bo‘limi jamoalari ham inson nazorati bilan uyg‘unlikda ishlovchi, ochiq va mavjud SI yechimlaridan foyda ko‘rishi mumkinligini tasdiqladi.

  • Название журналаRaqamli iqtisodiyot
  • Номер выпуска12-son
  • Количество просмотров 24
  • Количество прочтений 24
  • Дата публикации 30-09-2025
  • Язык статьиO'zbek
  • Страницы366-375
Ўзбек

Mazkur empirik tadqiqotda O‘zbekiston Respublikasidagi davlatga aloqador axborot texnologiyalari kompaniyasi “Uzinfocom”da kadrlar tanlash jarayonlariga sun’iy intellekt (SI) texnologiyalarini integratsiyalash amaliyoti o‘rganiladi. Pilot loyiha doirasida SI vositalaridan foydalanib, inklyuziv ish tavsiflarini yaratish, kompetensiyaga asoslangan suhbat savollarini tuzish hamda onlayn ish platformalari orqali rezyumelarni saralash jarayonlari sinovdan o‘tkazildi. Tadqiqot natijalari shuni ko‘rsatdiki, mazkur yondashuv ishga qabul qilish samaradorligini oshiradi, nomzodlar sifatini yaxshilaydi va jarayonlarni standartlashtirishga xizmat qiladi. Shuningdek, kichik hajmdagi kadrlar bo‘limi jamoalari ham inson nazorati bilan uyg‘unlikda ishlovchi, ochiq va mavjud SI yechimlaridan foyda ko‘rishi mumkinligini tasdiqladi.

№ Имя автора Должность Наименование организации
1 Nosirova S.B. Kadrlar bo‘limining yetakchi mutaxassisi “Uzinfocom” DUK
№ Название ссылки
1 Singh, P., Kumar, A., Mishra, G. P. 2025. Integrating human judgment and AI: An empirical study of hybrid leadership recruitment models. Journal of Information Systems Engineering and Management. https://jisem-journal.com/index.php/journal/article/view/5744
2 Mirziyoyev, Sh. M. 2023. Speech at the meeting on digital transformation and artificial intelligence. Official Website of the President of Uzbekistan. https://president.uz/en/lists/view/5679
3 Kot, S., Hussain, H. I., Bilan, S., Haseeb, M., Mihardjo, L. W. W. 2021. The role of artificial intelligence recruitment in modern business environments. Journal of Business Economics and Management, 22(4), 867–883. https://journals.vilniustech.lt/index.php/JBEM/article/view/14606
4 Tsiskaridze, R., Reinhold, K., & Jarvis, M. (2023). Innovating HRM recruitment: A comprehensive review of AI deployment. Marketing and Management of Innovations, 14(4), 239–254. https://doi.org/10.21272/mmi.2023.4-18
5 Lal, N., Benkraouda, O. 2025. Exploring the implementation of AI in early-onset interviews to help mitigate bias.
6 Raghavan, M., Barocas, S., Kleinberg, J., Levy, K. 2019. Mitigating bias in algorithmic hiring: Evaluating claims and practices.
7 Peng, A., Nushi, B., Kiciman, E., Inkpen, K., Kamar, E. 2022. Investigations of performance and bias in human-AI teamwork in hiring.
8 Coghlan, D., & Brannick, T. (2014). Doing Action Research in Your Own Organization. Sage Publications.
9 Jabbour, C. J. C., de Sousa Jabbour, A. B. L., Foropon, C., Godinho Filho, M., & Roubaud, D. (2022). Artificial Intelligence and Human Resource Management: A Systematic Review and Research Agenda. International Journal of Human Resource Management, 33(13), 2665–2702. https://doi.org/10.1080/09585192.2020.1833856
10 Barberá-Tomás, D., D’Este, P., Villarroya, A. 2022. Gender-neutral hiring language and its effects on applicant diversity. European Journal of Innovation Management, 25(4), 789–804.
11 Lal, N., Benkraouda, O. 2025. Exploring the implementation of AI in early-onset interviews to help mitigate bias.
12 Nguyen, H., Reiners, T., Wood, L. C. 2023. Artificial intelligence in structured interviews: A review and future directions. Journal of Human Resource Analytics, 8(2), 95–113.
В ожидании