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Artificial Intelligence and Economic Policy: Risk Analysis and Governance Challenges in the Modern State

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Giorgi Nikuradze

PhD Student at Ivane Javakhishvili Tbilisi State University

Abstract

Research Objective: The objective of this article is to analyse systematically the risks associated with the use of artificial intelligence (AI) in economic policy and to identify the principal governance challenges faced by the modern state under conditions of algorithmic decision-support and digital transformation.

Methodological Approach: The study employs an analytical and comparative approach, drawing on institutional analysis and a critical review of international regulatory and policy frameworks. The research is based on the examination of key documents and conceptual sources, including OECD, IMF, World Bank, NIST AI RMF, the EU AI Act, and contemporary academic literature on AI governance, public administration, and economic policy.

Main Results and Implications: The findings demonstrate that the integration of artificial intelligence into economic policy generates interconnected governance, institutional, and socio-economic risks. These include the diffusion of accountability, reduced transparency and explainability, risks related to data quality and algorithmic bias, labour-market polarization, and the growing danger of technocratic overdependence in public decision-making. The analysis shows that AI can strengthen evidence-based economic policymaking only when embedded within a coherent regulatory and institutional framework. The article argues that the effective and responsible use of artificial intelligence in economic policy requires risk-based regulation, institutionalized human oversight, standardized data governance, independent auditing mechanisms, and stronger public-sector capacities. AI should therefore be understood not as an autonomous decision-maker, but as a supportive policy instrument operating under conditions of accountability, transparency, and democratic control.

Keywords: Artificial intelligence; economic policy; public governance; governance risks; regulatory framework; institutional development.

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The New Economist, N1, 2026, Vol. 21, Issue 1.

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Published Date:

04/04/2026

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