LEGAL REGULATION OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE STATE CIVIL SERVICE: PROBLEMS AND PROSPECTS | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 23, 2026 | Version v1 Dataset Open LEGAL REGULATION OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE STATE CIVIL SERVICE: PROBLEMS AND PROSPECTS Authors/Creators Narinbaeva G.K (Contact person) 1 Isambaev M.A. (Contact person) 1 Show affiliations 1.
Tashkent State Agrarian University Description This article analyzes the legal framework for the implementation of artificial intelligence (AI) technologies in public administration and civil service, the legal framework of the Republic of Uzbekistan, the ethical principles of AI use, and international experience. It examines issues of reducing the human factor, improving decision-making efficiency, and legal liability. Files 1007-1008.pdf Files (184.8 kB) Name Size Download all 1007-1008.pdf md5:e9d786275330db6bd7f4739fe5ae1faa 184.8 kB Preview Download Additional details References Resolution of the President of the Republic of Uzbekistan dated February 17, 2021 No. PK-4996. Resolution of the President of the Republic of Uzbekistan dated October 14, 2024 No. PK-358. Law "On the Use of Artificial Intelligence Technologies..." No. ZRU-1115, 2026. Artificial Intelligence in Public Administration, 2024-2025. Analysis of Scientific Articles (Lex.uz, Kun.uz). 64 Views 43 Downloads Show more details All versions This version Views Total views 64 64 Downloads Total downloads 43 43 Data volume Total data volume 7.9 MB 7.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19707390 Markdown [](https://doi.org/10.5281/zenodo.19707390) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19707390.svg :target: https://doi.org/10.5281/zenodo.19707390 HTML <a href="https://doi.org/10.5281/zenodo.19707390"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19707390.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19707390.svg Target URL https://doi.org/10.5281/zenodo.19707390 Resource type Dataset Publisher Zenodo Published in The Journalof Applied Science and Social Science, 16(04), 1007-1008, ISSN: 2229-3205, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 23, 2026 Modified April 23, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies