ISSN 2181-4570 Open Access · Peer Reviewed
PDF

Keywords

sun'iy intellekt
ta'limda etika
algoritmik noholislik
ma'lumotlar maxfiyligi
raqamli tengsizlik

How to Cite

SUN’IY INTELLEKT VA TA’LIMDA ETIK MUAMMOLAR: IMKONIYATLAR, XAVFLAR VA EMPIRIK TADQIQOT NATIJALARI. (2026). Journal of Universal Science Research, 4(Maxsus son-3), 1382-1390. https://doi.org/10.66301/hqdbsn26

Abstract

Ushbu maqolada zamonaviy ta'lim tizimiga sun'iy intellekt (SI)
texnologiyalarining kirib kelishi bilan yuzaga keladigan etik muammolar ko'rib chiqiladi. Tadqiqot
ikkita asosiy yo'nalishda olib borildi: birinchisi — Termiz iqtisodiyot va servis universiteti
talabalarining SI vositalaridan foydalanishga oid onlayn so'rovi (n=120); ikkinchisi — ta'lim
platformalarining algoritmik nохolisligi va maxfiylik siyosatiga doir hujjatli tahlil. Natijalar shuni
ko'rsatdiki, respondentlarning 67 foizi SI vositalaridan akademik topshiriqlarda foydalanar ekan,
ularning 43 foizi bu foydalanishning axloqiy chegaralarini aniq bilmasligini tan oladi. Shuningdek,
keng tarqalgan platforma algoritmlari o'zbek tili va madaniy kontekstda sezilarli aniqlik yo'qotishini
ko'rsatuvchi qiyosiy tahlil natijalari keltirilgan. Xulosa sifatida ta'lim muassasalari, dasturchilar va
siyosat ishlab chiqaruvchilar uchun amaliy tavsiyalar taklif etildi

PDF

References

1. UNESCO. Recommendation on the Ethics of Artificial Intelligence. — Paris: UNESCO,

2021. — 24 p.

2. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and

Implications for Teaching and Learning. — Boston: Center for Curriculum Redesign, 2022. — 172 p.

3. Carnegie Learning. MATHia Efficacy Research Summary. — Pittsburgh: Carnegie Learning,

2023. — 18 p.

4. ITU. Measuring Digital Development: Facts and Figures 2023. — Geneva: International

Telecommunication Union, 2023. — 48 p.

5. Luckin R., Holmes W. Intelligence Unleashed: An Argument for AI in Education. — London:

Pearson Education, 2021. — 58 p.

6. O'Neil C. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens

Democracy. — New York: Crown Books, 2016. — 272 p.

7. Selwyn N. Should Robots Replace Teachers? AI and the Future of Education. — Cambridge:

Polity Press, 2022. — 180 p.

8. HolonIQ. Global EdTech Market Size Report 2024. — Sydney: HolonIQ, 2024. — 32 p

9. Lancaster T., Cotarlan C. ChatGPT in Academic Settings: Challenges for Integrity. Journal of

Academic Ethics, 2023. — Vol. 21(2). — P. 103–121.

10. Liao S., Zhao M. Process-Based Assessment as a Response to Generative AI: A Meta-

Analysis. Computers & Education, 2024. — Vol. 198. — P. 104–119.

11. Zawacki-Richter O. et al. Systematic review of research on artificial intelligence

applications in higher education. International Journal of Educational Technology in Higher Education,

2023. — Vol. 16(1). — P. 39.

12. Quiñones-Camacho L., Chen X. Algorithmic Bias in Automated Essay Scoring for English

Language Learners. Language Testing, 2023. — Vol. 40(3). — P. 421–445.

13. Reidenberg J., Schaub F. Illuminating the Enactment of Privacy Policies in K-12 Education.

Journal of Privacy and Confidentiality, 2018. — Vol. 8(1). — P. 1–26.

14. O'zbekiston Respublikasining "Shaxsga doir ma'lumotlar to'g'risida"gi Qonuni (2019-yil 2-

iyul, 2022-yil tahrirlari). — Toshkent: O'zbekiston Respublikasi Oliy Majlisi, 2022

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed In · Partners

Trusted by Global Scientific Indexing Services

JUSR is indexed and recognized by leading international databases and research integrity organizations.