Presentation Schedule
Applications of Generative AI in the Teaching of Customs and International Law (92386)
Session Chair: Hanh Nguyen Thi Hien
This presentation will be live-streamed via Zoom (Online Access)
Saturday, 14 June 2025 13:30
Session: Session 3
Room: Live-Stream Room 3
Presentation Type:Live-Stream Presentation
– click here to convert to your timezone
This academic research explores the use of generative AI tools such as Copilot, ChatGPT, Perplexity, Gemini and MetaAI as teaching tools for customs and international law. It focuses particularly on education about free international trade agreements and key trade laws in Mexico. The methodology implemented assessed these tools’ abilities to provide effective information on key topics such as the USMCA Trade Agreement, Customs Law, LIGIE Law, and tariff heading in the US Harmonized Tariff Schedule, using standardised prompts for each AI tool. To measure the effectiveness, an evaluation indicator was created, composed of five aspects: accuracy, specificity, reliability, usability, and response time. Also, a statistical analysis using a t-test was conducted to determine the significance of differences in performance among the AI tools. The main findings of the study demonstrate that Copilot is the most useful tool for searching specific information about articles, situations and laws in the field of international trade. Similarly, favorable results were obtained for ChatGPT and Perplexity. In contrast, MetaAI achieved somewhat positive results, while Genine showed unfavourable results with general information and performance. These findings indicate that generative AI tools can help students conduct more efficient searches and save time finding information. However, these tools can sometimes produce errors or general results, necessitating deeper exploration by students. Finally, educators must be cautious about bad practices with these tools, because generative AI can deliver incorrect results and cause misunderstandings, requiring educators to carefully monitor the prompts and outcomes when using these type of tools.
Authors:
José Miguel Mata Hernández, Arkansas State University, United States
About the Presenter(s)
Jose Miguel Mata Hernandez is an Assistant professor at Arkansas State University CQ, and Lecturer at UNAM and UAQ. Besides, he has investigations and interest in financial technology, public innovation, generative AI, and international business.
Connect on Linkedin
https://www.linkedin.com/in/jos%C3%A9-miguel-mata-hern%C3%A1ndez-1244a514b/
See this presentation on the full schedule – Saturday Schedule
Comments
Powered by WP LinkPress