THE USES OF ARTIFICIAL INTELLIGENCE IN THE PUBLIC SECTOR: CHALLENGES AND PROSPECTS

Abstract

This article examines the integration of artificial intelligence (AI) in the public sector, highlighting its transformative potential and associated challenges. AI has the capacity to revolutionize public administration by enhancing service delivery, decision-making, and operational efficiency through advanced data analysis, predictive analytics, and automation. Despite these opportunities, the adoption of AI in government faces significant obstacles, including technical limitations, ethical concerns, legal constraints, and organizational resistance. Key issues such as data privacy, system security, algorithmic bias, and accountability for AI-driven decisions are explored. This study employs a theoretical framework based on literature analysis, document review, and value interpretation. The article also discusses the varying levels of AI deployment, from simple automation to fully autonomous systems, and the strategic approaches needed for successful implementation. The research objectives are to identify the principal challenges and opportunities associated with AI integration in public administration and to answer key questions regarding effective governance, ethical management, and policy formulation. The study also aims to contribute to both academic discourse and policy practice by proposing actionable recommendations for optimizing AI deployment in the public sector. It emphasizes the need for robust governance frameworks, ethical guidelines, and international cooperation to ensure AI technologies enhance public value while preserving trust and democratic principles. The findings underscore the importance of a balanced approach to AI integration, promoting innovation while safeguarding societal interests.

Keywords: Artificial Intelligence, public sector, welfare state, technologies, applicability, governance