This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP)...This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP),and predictive analytics,the study demon-strates how AI-driven systems can optimize risk assessment,automate document process-ing,and detect trade anomalies.Case studies illustrate the successful implementation of AI-based solutions in enhancing customs efficiency,reducing processing times,and im-proving decision-making accuracy.The research identifies key challenges,including data quality,interoperability,and ethical considerations,and proposes future directions,such as integrating blockchain with AI and developing explainable AI models.展开更多
文摘This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP),and predictive analytics,the study demon-strates how AI-driven systems can optimize risk assessment,automate document process-ing,and detect trade anomalies.Case studies illustrate the successful implementation of AI-based solutions in enhancing customs efficiency,reducing processing times,and im-proving decision-making accuracy.The research identifies key challenges,including data quality,interoperability,and ethical considerations,and proposes future directions,such as integrating blockchain with AI and developing explainable AI models.
