The Legal and Regulatory Issues of AI Technology in Cross-Border Data Flow in International Trade

Abstract

This article explores the application of artificial intelligence (AI) technology in cross-border data flow in international trade and the resulting legal and regulatory issues. With the development of globalization and the digital economy, cross-border data flow has become increasingly important in international trade. The rapid advancement of AI technology has accelerated this trend. However, cross-border data flow involves complex legal and regulatory issues, particularly concerning data privacy protection, security, and sovereignty. This paper aims to explore the current applications of AI technology in cross-border data flow in international trade, identify the legal and regulatory challenges, and propose relevant countermeasures and recommendations. The article points out that the application of AI technology in international trade is mainly reflected in automated production and logistics management, intelligent customer service and user experience, data analysis and decision support, compliance in international trade, and new trade models and innovation. However, cross-border data flow faces multiple challenges, and different countries have different legal requirements, increasing the operational costs and legal risks for enterprises. The article suggests addressing these challenges by strengthening international cooperation, improving domestic laws and regulations, adopting advanced technologies, and enhancing corporate compliance capabilities. By implementing these measures, the security and legality of cross-border data flow can be effectively ensured, promoting the sustainable development of international trade.