The Application of Large Language Models Reducing Cultural Barriers in International Trade: A Perspective from Cultural Conflicts, Potential and Obstacles

Abstract

Large Language Models (LLMs) are powerful Artificial General Intelligence (AGI) software that generate natural language texts on various topics and domains. They have great potential to reduce cultural barriers in international trade by facilitating machine translation and cross-cultural communication. However, they also face cultural conflicts, challenges and risks, such as cultural misreading, bias, and ethical issues. This paper provides a comprehensive analysis of the current state and future prospects of LLMs in international trade, and discusses the cultural differences, opportunities and obstacles that they encounter. It also proposes some possible solutions and directions for improving the cultural sensitivity and performance of LLMs, such as incorporating cultural knowledge, enhancing cultural awareness, and ensuring cultural diversity and inclusivity. To illustrate the practical implications of LLMs in international trade, this paper provides some examples of how LLMs have been used or could be used in various trade scenarios, such as ChatGPT,NewBing and Ernie Bot. This paper aims to offer some insights and suggestions for researchers, practitioners, and policymakers who are interested in or involved in the development and application of LLMs in international trade, and to demonstrate how LLMs can contribute to the advancement and innovation of international trade.