Prospects for the use of artificial intelligence in customs control over the movement of goods containing intellectual property objects

Abstract

The article examines the prospects for applying artificial intelligence technologies in customs control over the movement of goods containing intellectual property objects. It identifies current challenges related to the growth of cross-border trade, the increasing complexity of logistics chains, and the rising number of attempts to import counterfeit goods. The study analyzes the potential for integrating AI into the risk management system, including machine learning, data mining, and computer vision technologies for the automatic identification of counterfeit indicators. Special attention is given to the automation of information exchange between customs authorities and right holders through the use of intelligent platforms.