Впровадження штучного інтелекту в державному управлінні

Abstract

UA: Досліджено сучасні підходи до впровадження штучного інтелекту у сферу державного управління. Визначено ключові напрямки застосування штучного інтелекту в публічному секторі. Розглянуто етичні, правові та організаційні виклики, що постають при інтеграції штучного інтелекту в державні структури. Визначено потенційні переваги й ризики впровадження штучного інтелекту. Запропоновано рекомендації щодо формування ефективної державної політики у сфері штучного інтелекту.

EN: Modern approaches to the implementation of artificial intelligence in public administration have been explored, taking into account current technological trends and the needs of digital transformation. Key areas of its application have been identified: automation of administrative procedures, introduction of chatbots and virtual assistants, document and application processing, workload forecasting for public institutions, personnel management, and budget planning. The potential of AI in the field of public safety has been revealed, particularly through intelligent video surveillance systems, traffic monitoring, and urban mobility management. The possibilities of personalizing public services based on big data analytics are demonstrated, contributing to increased citizen satisfaction and more efficient service delivery. Special attention is given to the use of artificial intelligence for fraud detection, monitoring public procurement, analyzing citizen appeals, and identifying critical issues in real time. Ethical, legal, and organizational challenges are discussed, including resistance to change, lack of qualified personnel, and risks to data privacy and security. The necessity of investing in human capital development, creating digital infrastructure, interagency cooperation, and fostering an innovative culture is substantiated. Emphasis is placed on the importance of aligning digital strategies with citizens' needs through the implementation of human-centered services. The importance of continuous learning for civil servants is identified as a key condition for the effective implementation of emerging technologies. Recommendations are proposed for developing an effective public policy for AI implementation, based on the principles of transparency, accountability, and protection of citizens’ rights.