摘要
This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural language processing,and predictive analytics can improve the efficiency and effectiveness of trade processes.Case studies of Singapore and Australia are analyzed to highlight successful AI applications and key lessons learned.The study discusses the benefits,including increased efficiency,reduced costs,enhanced accuracy,and improved user experience,alongside the challenges posed by technical com-plexities,legal and ethical considerations,and resistance to change.The paper also pro-vides policy implications and recommendations for governments,international organiza-tions,and private sector stakeholders.Future research directions emphasize emerging AI technologies like AI-driven blockchain and advanced NLP,and their potential long-term impacts on global trade dynamics.
