DAVLAT BOSHQARUVIDA SUN'IY INTELLEKT: E-GOVERNMENT TIZIMLARINI OPTIMALLASHTIRISHDA ZAMONAVIY JAHON TAJRIBASIDAN FOYDALANISH
DOI:
https://doi.org/10.65164/1zdcnc35Ключевые слова:
sun'iy intellekt, e-government, davlat boshqaruvi, raqamli transformatsiya, mashinali o'rganish, smart government, Big Data, NLP, fuqarolarga xizmat ko'rsatish, O'zbekistonАннотация
Ushbu maqola davlat boshqaruvida sun'iy intellekt (SI) texnologiyalarining e-government
tizimlarini optimallashtirish borasidagi zamonaviy jahon tajribasini tizimli tahlil qilishga
bag'ishlangan. Tadqiqot Estoniya, Singapur, Janubiy Koreya, Birlashgan Arab Amirliklari va Xitoy
kabi yetakchi davlatlarning e-government sohasidagi SI joriy etish tajribasini mukammal o'rganadi.
Maqolada katta hajmli ma'lumotlarni tahlil qilish (Big Data Analytics), mashinali o'rganish (machine
learning), tabiiy til ishlov berish (NLP) va prognozli tahlil texnologiyalarining davlat xizmatlari
sifatini oshirishga ta'siri batafsil ko'rib chiqiladi. Tadqiqot natijalari shuni ko'rsatadiki, SI
texnologiyalarini e-government tizimlariga muvaffaqiyatli integratsiyalash davlat xizmatlarini
ko'rsatish samaradorligini 40–65% ga, fuqarolarning qoniqish darajasini esa 30–50% ga oshirishi
mumkin. O'zbekiston sharoitida ushbu tajribalarni tatbiq etish uchun maxsus tavsiyalar ishlab
chiqilgan bo'lib, ular milliy raqamli transformatsiya strategiyasi bilan uyg'unlashtirilgan. Maqola
natijalarining dolzarbligi O'zbekiston Respublikasining 2023–2030 yillarga mo'ljallangan Raqamli
O'zbekiston dasturi maqsad va vazifalari bilan to'liq mos kelishi bilan belgilanadi.
Библиографические ссылки
[1] Dunham, J., & Millard, J. (2021). Artificial intelligence for government. In A. Zuiderwijk, J. F.
Curry-Cloud, & G. J. van Veenstra (Eds.), Proceedings of the 22nd Annual International
Conference on Digital Government Research (pp. 456–463). ACM Digital Library.
https://doi.org/10.1145/3463677.3463730
[2] e-Estonia. (2023). E-Estonia digital society annual report 2023. Enterprise Estonia / e-Estonia
Showroom. https://e-estonia.com/digital-society/
[3] GovTech Singapore. (2022). GovTech annual report 2021/2022: Building a smart nation,
together. Government Technology Agency of Singapore.
https://www.tech.gov.sg/files/media/corporate-publications/FY2021/GovTech-Annual-
Report-FY2021.pdf
[4] International Monetary Fund. (2023). World economic outlook: A rocky recovery (April 2023).
IMF Publications. https://www.imf.org/en/Publications/WEO
[5] Korean Ministry of the Interior and Safety. (2022). Digital government innovation white paper
2022. Ministry of the Interior and Safety of the Republic of Korea. https://www.mois.go.kr
[6] Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred
reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS
Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
[7] Mulgan, G. (2022). AI in public service: Does it serve the public? NESTA Foundation.
https://media.nesta.org.uk/documents/AI_in_public_service.pdf
[8] OECD. (2023). OECD framework for the classification of AI systems. OECD Artificial
Intelligence Papers, No. 5. OECD Publishing. https://doi.org/10.1787/cb6d9eca-en
[9] OECD. (2022). OECD digital government index: 2019 results. OECD Public Governance
Policy Papers. https://doi.org/10.1787/4bc8d640-en
[10] O'zbekiston Respublikasi Prezidenti. (2020). O'zbekiston Respublikasi Prezidentining 2020 yil
5 oktyabrdagi "Raqamli O'zbekiston – 2030" strategiyasini tasdiqlash to'g'risida" gi PF-6079-
son Farmoni. Qonun hujjatlari ma'lumotlari milliy bazasi. https://lex.uz/docs/5031048
