“REGULATING ARTIFICIAL INTELLIGENCE FOR SOCIAL WELFARE: INSTITUTIONAL CAPACITY AND GOVERNMENT MANAGEMENT IN UZBEKISTAN”

Abstract

Artificial intelligence (AI) has the potential to transform economic production, improve public service delivery, and enhance social welfare. However, the magnitude of these benefits depends on the effectiveness of government regulation and institutional capacity. Focusing on the case of Uzbekistan, this study evaluates how AI regulation, institutional readiness, and governance quality influence social welfare outcomes. Drawing on international indicators, Uzbekistan’s national AI strategy, and numerical assessments incorporating country-specific data, including AI adoption rates, digital infrastructure, and readiness indices, this article highlights opportunities and constraints for welfare-oriented AI policy. The findings indicate that although Uzbekistan has made substantial strides in AI readiness and digital governance, gaps in infrastructure, regulatory enforcement, and human capital limit welfare impacts. Strengthening institutional capacity and adopting a phased, risk-based regulatory framework are recommended to maximize AI’s welfare potential.