NAVIGATING THE LEGAL COMPLEXITIES OF ARTIFICIAL INTELLIGENCE IN GLOBAL TRADE AGREEMENTS

As artificial intelligence (AI) continues to revolutionize global trade, it brings with it a host of legal complexities that challenge traditional frameworks within international trade agreements. This abstract explores the emerging problem of integrating AI into global trade agreements, identifies its purpose in addressing these challenges, highlights existing research gaps, and outlines the structure of the study. The proliferation of AI technologies in global trade presents a myriad of legal challenges, including issues related to intellectual property rights, data protection, liability, and regulatory frameworks. Existing international trade agreements often lack specific provisions addressing AI, leading to ambiguity and inconsistency in legal interpretation. Moreover, the rapid pace of technological advancement outpaces the ability of legal frameworks to adapt, exacerbating the problem. The purpose of this study is to analyze the legal complexities arising from the integration of AI into global trade agreements and to propose potential solutions for addressing these challenges. By examining existing legal frameworks, case studies, and scholarly literature, this research aims to provide insights into the development of AI-inclusive trade policies that foster innovation while safeguarding against potential risks and inequalities. While there is a growing body of literature addressing the intersection of AI and various legal domains, such as ethics, privacy, and labor law, there remains a notable gap in the understanding of how AI impacts international trade agreements specifically. Existing research primarily focuses on domestic regulatory frameworks, leaving a dearth of comprehensive analysis on the implications of AI for global trade governance. This study seeks to fill this gap by exploring the unique legal challenges posed by AI in the context of international trade agreements. This study will begin by providing an overview of the current landscape of AI technologies and their applications in global trade. It will then analyze the existing legal frameworks within international trade agreements and identify areas of ambiguity and inconsistency concerning AI. Subsequently, the study will explore case studies and examples of AI implementation in trade, examining the legal implications and challenges encountered. Finally, the research will propose recommendations and policy guidelines for integrating AI into future trade agreements, ensuring coherence, fairness, and adaptability in the face of technological innovation. Keywords: Law, Business Law, Legal, Artificial Intelligence, Trade Agreement.