The integration of intelligent digital tools within government economic systems has significantly transformed public financial management, policy formulation, and administrative efficiency. However, the increasing reliance on artificial intelligence (AI), cyber-physical systems, and Industry 4.0 technologies raises critical concerns regarding ethical values, regulatory compliance, and institutional accountability. This paper presents a comprehensive technical and interdisciplinary analysis of how value-driven governance frameworks can be embedded within intelligent digital tools used in government economics.
The study synthesizes theoretical and applied insights from manufacturing intelligence systems, cyber-physical infrastructures, and digital transformation literature to examine the operational and ethical implications of deploying intelligent technologies in public financial ecosystems. It critically evaluates how algorithmic decision-making systems, automation technologies, and data-driven platforms influence transparency, fairness, and compliance within fiscal governance structures. The research further explores how principles of accountability, explainability, and regulatory adherence can be operationalized through system design and institutional oversight mechanisms.
Drawing upon cross-sectoral analogies from intelligent manufacturing systems and digital workshops, the paper identifies key challenges such as opacity in algorithmic processes, data bias, systemic risks, and regulatory fragmentation. It argues that without a robust ethical framework, intelligent digital tools may exacerbate inequalities, reduce institutional trust, and undermine governance legitimacy. The analysis emphasizes the importance of integrating ethical compliance mechanisms at both the technological and policy levels, aligning with contemporary AI ethics frameworks (Gondi, 2025).
The findings suggest that effective governance of intelligent digital tools requires a multi-layered approach that combines technical validation, regulatory enforcement, and value-based design principles. The paper contributes to the existing literature by proposing an integrative framework that bridges the gap between technological innovation and ethical governance in public finance. It concludes that sustainable and responsible deployment of intelligent systems in government economics depends on the alignment of technological capabilities with societal values and regulatory standards.

Artificial Intelligence, Government Economics, Ethical Compliance, Digital Transformation

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