SUN’IY INTELLEKT — VOSITA, INSON — EGASI: TA’LIM, HOKIMIYAT VA TIBBIYOTDA SI’NING CHEGARALARI

Статьи

SUN’IY INTELLEKT — VOSITA, INSON — EGASI: TA’LIM, HOKIMIYAT VA TIBBIYOTDA SI’NING CHEGARALARI

Bobonazarov Muhammad Tursunali o‘g‘li

“Mirzo Ulug‘bek nomidagi Samarqand davlat arxitektura-qurilish universiteti” davlat muassasasi

Published October 21, 2026

Issue Vol. 4 No. 1 (2026): Journal of Global Scientific Innovations

Pages 51-61

DOI 10.66639/d97gdd05

Open Access

Abstract

Maqolada sun’iy intellekt (SI) texnologiyalarining ta’lim, davlat boshqaruvi va tibbiyot sohalaridagi imkoniyatlari hamda ularni qo‘llashning axloqiy, huquqiy va amaliy chegaralari tahlil qilinadi. Tadqiqot SI tizimlari qaror qabul qilish jarayonida ko‘makchi vosita bo‘lib qolishi, yakuniy mas’uliyat esa insonda saqlanishi kerakligi g‘oyasiga tayanadi. Xalqaro hujjatlar, ilmiy adabiyotlar va O‘zbekistonning me’yoriy-huquqiy bazasi qiyosiy tahlil qilinib, SI tizimlarida inson nazoratining uch darajasi — yordamchi, maslahatchi va qaror qabul qiluvchi daraja — hamda ularni baholash uchun “uch savol” mezoni taklif etiladi. Natijalar SI’ni oliy ta’lim muassasalari, davlat organlari va tibbiyot muassasalarida joriy etishda xavflarni kamaytirishga xizmat qiladi.

Keywords: sun’iy intellekt, inson nazorati, ta’lim, davlat boshqaruvi, tibbiyot, axloq, algoritmik tarafkashlik, mas’uliyat, shaffoflik.

Maqolani onlayn o'qish

Maqola matni yuklanmoqda, iltimos kuting...

References

[1] Russell S., Norvig P. Artificial Intelligence: A Modern Approach. 4th ed. Hoboken: Pearson, 2021. 1136 p.
[2] UNESCO. Guidance for generative AI in education and research. Paris: UNESCO, 2023.
[3] Kasneci E., Seßler K., Küchemann S. et al. ChatGPT for good? On opportunities and challenges of large language models for education // Learning and Individual Differences. 2023. Vol. 103. Art. 102274.
[4] Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.
[5] Obermeyer Z., Powers B., Vogeli C., Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations // Science. 2019. Vol. 366, No. 6464. P. 447–453.
[6] Topol E.J. High-performance medicine: the convergence of human and artificial intelligence // Nature Medicine. 2019. Vol. 25. P. 44–56.
[7] Singhal K., Azizi S., Tu T. et al. Large language models encode clinical knowledge // Nature. 2023. Vol. 620. P. 172–180.
[8] World Health Organization. Ethics and governance of artificial intelligence for health: WHO guidance. Geneva: WHO, 2021.
[9] Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) // Official Journal of the European Union, 2024.
[10] Jobin A., Ienca M., Vayena E. The global landscape of AI ethics guidelines // Nature Machine Intelligence. 2019. Vol. 1. P. 389–399.
[11] Floridi L., Cowls J., Beltrametti M. et al. AI4People — An ethical framework for a good AI society: opportunities, risks, principles, and recommendations // Minds and Machines. 2018. Vol. 28. P. 689–707.
[12] Bender E.M., Gebru T., McMillan-Major A., Shmitchell S. On the dangers of stochastic parrots: can language models be too big? // Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’21). New York: ACM, 2021. P. 610–623.
[13] Eubanks V. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New York: St. Martin’s Press, 2018.
[14] Zawacki-Richter O., Marín V.I., Bond M., Gouverneur F. Systematic review of research on artificial intelligence applications in higher education — where are the educators? // International Journal of Educational Technology in Higher Education. 2019. Vol. 16. Art. 39.
[15] OECD. Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449. Paris: OECD, 2019 (2024-yilda yangilangan tahrir).
[16] O‘zbekiston Respublikasi Prezidentining 2024-yil 14-oktabrdagi PQ-358-son “Sun’iy intellekt texnologiyalarini 2030-yilga qadar rivojlantirish strategiyasini tasdiqlash to‘g‘risida”gi qarori. Vazirlar Mahkamasining 2025-yildagi 425-son qarori (2025–2026-yillardagi ustuvor SI loyihalari). Manba: gov.uz; OECD.AI Policy Navigator.
[17] Ji Z., Lee N., Frieske R. et al. Survey of hallucination in natural language generation // ACM Computing Surveys. 2023. Vol. 55, No. 12. Art. 248.