OPPORTUNITIES AND PROSPECTS FOR IMPLEMENTING ARTIFICIAL INTELLIGENCE IN CUSTOMS SERVICE RISK MANAGEMENT
Abstract
The purpose of the study is to analyze opportunities and prospects for implementing artificial intelligence technologies in the risk management system of the State Customs Service of Ukraine based on international experience and digitalization assessment. Research methodology is based on systematic analysis of international AI practices in customs administrations of Brazil, China, India, the EU, and USA, comparative analysis of machine learning, natural language processing, and computer vision capabilities for customs control. Functional capabilities of AI technologies for automating goods classification, contraband detection through X-ray analysis, profiling foreign economic activity participants, and predictive analytics are identified. Current state of generative AI and business intelligence implementation in the Automated System for Analysis and Risk Management is investigated, including personal data validation automation and pilot post-clearance audit projects. Priority development directions are determined: computer vision implementation for X-ray analysis, predictive analytics models for preventive risk detection, automatic classification algorithms improvement, European systems integration, technical infrastructure and personnel training development. Technological, organizational, and legal challenges are identified: limited structured historical data quality, data science specialists deficit, absence of specialized legal regulation of AI use in customs, cybersecurity needs under martial law. The study confirms that AI constitutes fundamental basis for transforming customs risk management paradigm from reactive control to proactive analytics. Comparative analysis reveals Ukraine's gaps in coverage completeness and international database integration compared to reference systems. Results define strategic guidelines for customs service digitalization under martial law and European integration conditions, enabling effective resource allocation and enhanced detection of contraband and customs violations.
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