Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”

This conference is included in the “Plan of Scientific and Scientific-Technical Events to Be Held at the International and Republican Levels in 2026” pursuant to Order No. 11 of the Ministry of Higher Education, Science and Innovation of the Republic of Uzbekistan dated January 16, 2026, and was organized by the Department of Intellectual Disciplines and Information Technologies of Namangan State Pedagogical Institute on October 28–29, 2026.

1+ Issues
40+ Articles
51+ Participants
Oʻzbekcha

TA’LIM MUASSASALARIDA SUN’IY INTELLEKTDAN XAVFSIZ FOYDALANISHNING KOMPLEKS MODELI

Published
29.10.2026
Journal
Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”
Issue
Republican Scientific and Practical Conference “Digital and Pedagogical Transformation and Research Models in Modern Education”
Pages
188-192
DOI
10.5281/zenodo.23432215

Authors

Abstract

Maqolada ta’lim muassasalarida sun’iy intellektdan (SI) xavfsiz va mas’uliyatli foydalanishning kompleks modeli asoslab beriladi. Model me'yoriy-huquqiy, boshqaruv, texnologik, pedagogik va monitoring komponentlarini o’zida birlashtiradi hamda xavf darajasiga asoslangan yondashuvga tayanadi. Xalqaro hujjatlar tahlili asosida ma'lumotlar maxfiligi, inson nazorati, shaffoflik, akademik halollik va inklyuziya tamoyillari ajratib ko’rsatiladi. Maqolada modelning chizmasi, xavf darajalari bo’yicha tasnif va bosqichma-bosqich joriy etish yo’l xaritasi taklif etilgan. Natijalar ta’lim muassasalari rahbarlari va metodistlari uchun amaliy qo’llanma sifatida foydalanilishi mumkin.

Keywords

akademik halollik akademik imidj inson nazorati ma'lumotlar maxfiligi mas’uliyatli foydalanish sun’iy intellekt ta’lim muassasasi xavflarni boshqarish

Other language versions

Русский
В статье обосновывается комплексная модель безопасного и ответственного использования искусственного интеллекта (ИИ) в образовательных учреждениях. Модель объединяет нормативно-правовой, управленческий, технологический, педагогический компоненты и мониторинг, опираясь на подход, основанный на уровнях риска. На основе анализа международных документов выделены принципы конфиденциальности данных, человеческого контроля, прозрачности, академической честности и инклюзивности. Предложены схема модели, классификация по уровням риска и поэтапная дорожная карта внедрения. Результаты могут использоваться руководителями и методистами образовательных учреждений как практическое руководство.
академическая честность грамотность в области ИИ. искусственный интеллект конфиденциальность данных образовательное учреждение ответственное использование управление рисками человеческий контроль
English
The article substantiates a comprehensive model for the safe and responsible use of artificial intelligence (AI) in educational institutions. The model integrates legal, governance, technological, pedagogical, and monitoring components and relies on a risk-based approach. Based on an analysis of international documents, the principles of data privacy, human oversight, transparency, academic integrity, and inclusion are identified. A diagram of the model, a risk-level classification, and a phased implementation roadmap are proposed. The results can serve as a practical guide for school leaders and methodologists.
AI literacy. academic integrity artificial intelligence data privacy educational institution human oversight responsible use risk management

References

1. O’zbekiston Respublikasi Prezidentining «Raqamli O’zbekiston – 2030» strategiyasini tasdiqlash to’g'risida»gi PF-6079-son Farmoni. 2020-yil 5-oktabr.
2. UNESCO. Guidance for generative AI in education and research. Paris: UNESCO, 2023.
3. 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, 12 July 2024.
4. NIST. Artificial Intelligence Risk Management Framework (AI RMF 1.0): NIST AI 100-1. Gaithersburg, MD: National Institute of Standards and Technology, 2023.
5. UNESCO. AI competency framework for teachers. Paris: UNESCO, 2024.
6. Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign, 2019.
7. 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, Article 39.
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