ехнології штучного інтелекту в управлінні електронними інформаційними ресурсами публічного сектору

Abstract

The article examines the application of artificial intelligence technologies in managing electronic information resources within the public sector. It highlights the role of machine learning and natural language processing in enhancing data processing, decision-making, and the automation of digital public services. The study presents practical cases of AI-driven systems implemented in governmental platforms and outlines key challenges associated with their adoption, including cybersecurity vulnerabilities and personal data protection. The conclusions underscore the importance of algorithmic transparency, adherence to international information security standards, and the development of digital competencies among public officials.