The article "Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements" by Etinosa Igbinenikaro and Adefolake Olachi Adewusi explores the legal challenges posed by integrating artificial intelligence (AI) into global trade agreements. The authors highlight the rapid proliferation of AI technologies in global trade, which brings about 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. The study aims to analyze these legal complexities and propose potential solutions to ensure that international trade remains fair, transparent, and conducive to economic growth. The article begins by providing an overview of AI technologies and their applications in global trade, emphasizing the transformative impact of AI on supply chain management, logistics, finance, marketing, and customer service. It then delves into the legal challenges, including the lack of explicit provisions in existing trade agreements, the need for adapting traditional legal concepts to accommodate AI's unique characteristics, and the cross-border nature of AI technologies that complicates regulatory harmonization. The authors examine the intersection of AI and intellectual property rights, discussing issues such as ownership of AI-generated IP, patentability of AI inventions, and protection of trade secrets. They also address data protection and privacy concerns, highlighting the challenges of cross-border data flows, informed consent, and compliance with data protection regulations. Liability issues in AI-driven trade are explored, focusing on determining responsibility for AI-generated decisions, product liability concerns, and the allocation of liability among stakeholders. The article also discusses regulatory challenges and standards, emphasizing the need for harmonizing AI regulations across jurisdictions, developing specific AI standards, and ensuring compliance with regulatory requirements. Case studies and examples from various industries are presented to illustrate both successful AI implementations and legal challenges faced. Finally, the authors offer recommendations for policy and governance, suggesting a multi-pronged approach to address legal gaps, establish guidelines for AI-inclusive trade agreements, and promote collaboration among governments, regulatory authorities, industry stakeholders, and civil society organizations. In conclusion, the article underscores the critical imperative of addressing legal complexities to ensure the continued prosperity and sustainability of international trade in the era of artificial intelligence.The article "Navigating the Legal Complexities of Artificial Intelligence in Global Trade Agreements" by Etinosa Igbinenikaro and Adefolake Olachi Adewusi explores the legal challenges posed by integrating artificial intelligence (AI) into global trade agreements. The authors highlight the rapid proliferation of AI technologies in global trade, which brings about 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. The study aims to analyze these legal complexities and propose potential solutions to ensure that international trade remains fair, transparent, and conducive to economic growth. The article begins by providing an overview of AI technologies and their applications in global trade, emphasizing the transformative impact of AI on supply chain management, logistics, finance, marketing, and customer service. It then delves into the legal challenges, including the lack of explicit provisions in existing trade agreements, the need for adapting traditional legal concepts to accommodate AI's unique characteristics, and the cross-border nature of AI technologies that complicates regulatory harmonization. The authors examine the intersection of AI and intellectual property rights, discussing issues such as ownership of AI-generated IP, patentability of AI inventions, and protection of trade secrets. They also address data protection and privacy concerns, highlighting the challenges of cross-border data flows, informed consent, and compliance with data protection regulations. Liability issues in AI-driven trade are explored, focusing on determining responsibility for AI-generated decisions, product liability concerns, and the allocation of liability among stakeholders. The article also discusses regulatory challenges and standards, emphasizing the need for harmonizing AI regulations across jurisdictions, developing specific AI standards, and ensuring compliance with regulatory requirements. Case studies and examples from various industries are presented to illustrate both successful AI implementations and legal challenges faced. Finally, the authors offer recommendations for policy and governance, suggesting a multi-pronged approach to address legal gaps, establish guidelines for AI-inclusive trade agreements, and promote collaboration among governments, regulatory authorities, industry stakeholders, and civil society organizations. In conclusion, the article underscores the critical imperative of addressing legal complexities to ensure the continued prosperity and sustainability of international trade in the era of artificial intelligence.