Artificial Intelligence: A New Stage in Uzbekistan's Digital Economy and Public Administration
DOI:
https://doi.org/10.17605/cajssh.v6i3.1206Keywords:
Artificial Intelligence, Digital Economy, Public Administration, Uzbekistan, Technology Strategy, Regulatory FrameworkAbstract
Artificial intelligence (AI) is reshaping global economies by enhancing efficiency, fostering innovation, and redefining public administration. In Uzbekistan, AI has become a central element of national digital transformation following the adoption of Resolution No. PC-358, which outlines a strategic framework for AI integration by 2030. Despite global advances, Uzbekistan has only recently begun structured AI development, and little academic work has analyzed the country's policy, legal, and infrastructural adaptations in this field. This study aims to evaluate Uzbekistan’s strategy for AI development, with particular attention to regulatory alignment with international standards, technical infrastructure readiness, and the societal implications of AI implementation. The findings show that Uzbekistan prioritizes legal compliance, ethical considerations, data security, and public trust. AI integration is planned across sectors like finance, healthcare, and agriculture, supported by a $50 million innovation fund and targeted educational reforms. The paper provides one of the first in-depth academic assessments of Uzbekistan’s AI roadmap, highlighting the government’s multidimensional approach to balancing innovation with ethical and societal concerns. The strategic implementation of AI in Uzbekistan could serve as a model for other emerging economies, showing how regulatory frameworks, investment incentives, and human capital development can be harmonized to foster digital transformation while addressing employment disruption and ethical risks.
References
Resolution of the Republic of Uzbekistan No. PC-358, "Strategic framework for the integration of artificial intelligence technologies in Uzbekistan by 2030," 2024. [Online]. Available: [URL].
World Economic Forum, The Future of Jobs Report 2021. Geneva: World Economic Forum, 2021. [Online]. Available: [URL].
European Commission, White Paper on Artificial Intelligence: A European approach to excellence and trust, Brussels, 2021. [Online]. Available: [URL].
United Nations, Global Digital Compact, 2022. [Online]. Available: [URL].
M. B. Bakhramova, “Trends in Artificial Intelligence Development,” Journal of Digital Economy, vol. 10, no. 2, pp. 45–60, 2023.
McKinsey Global Institute, AI and the Future of Work: A Global Perspective, 2020. [Online]. Available: [URL].
OECD, AI Policy Observatory, 2021. [Online]. Available: [URL].
NIST, A Proposal for Identifying and Managing Bias in AI Systems, 2021. [Online]. Available: [URL].
International Telecommunication Union (ITU), Artificial Intelligence for Good Global Summit, 2022. [Online]. Available: [URL].
J. Gonzalez and K. Lee, “The Role of AI in Sustainable Development,” Journal of Sustainable Technology, vol. 15, no. 1, pp. 23–40, 2022. [Online]. Available: [URL].
M. Kurmangali, Y. Yeraliyeva, and A. Beimisheva, “Digitalization and Artificial Intelligence in Central Asia: Governmental Responses and Further Implications,” Public Policy and Administration, vol. 23, no. 2, pp. 146–159, 2024.
T. S. Abduqodirovich, “International Experience in the Use of Artificial Intelligence Technologies in Enterprise Management in the Context of the Digital Economy and Their Application in Uzbekistan,” American Journal of Education and Learning, vol. 3, no. 4, pp. 723–731, 2025.
G. Kuldosheva, “Challenges and Opportunities of Digital Transformation in the Public Sector in Transition Economies: Examination of the Case of Uzbekistan,” unpublished, 2021.
M. Nozimova, “The Digital Economy in Uzbekistan: Opportunities and Challenges,” Gwalior Management Academy, no. 71, 2024.
G. Kuldosheva, “Challenges and Opportunities for Digital Transformation in the Public Sector in Transition Economies: The Case of Uzbekistan,” in Harnessing Digitalization for Sustainable Economic Development, pp. 365, 2022.
