THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND INTERNATIONAL TRADE LAWS: CHALLENGES AND OPPORTUNITIES

Asif Khan

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Digitalization, Law, and Regulation World Trade Organization Law Law, AI, and Intellectual Property

Abstract

Artificial Intelligence (AI) is reshaping international trade, presenting both challenges and opportunities for existing global legal frameworks. This research explores the intersection of AI and international trade laws, focusing on key areas such as data protection, intellectual property rights (IPR), trade barriers, and regulatory harmonisation. The cross-border flow of data in trade activities raises concerns about privacy and data protection, necessitating the balance between trade liberalisation and regulatory compliance. Moreover, the emergence of AI-generated intellectual property assets poses novel questions regarding ownership, liability, and enforcement mechanisms. Discriminatory practices and trade barriers fueled by AI-driven automation and predictive analytics threaten market access and fair competition. Harmonising regulatory approaches to AI governance is imperative to promote interoperability, innovation, and market integration. Despite these challenges, AI offers significant opportunities to enhance trade facilitation, efficiency, and dispute resolution mechanisms. Embracing AI technologies can streamline supply chains, reduce transaction costs, and expedite customs procedures. Additionally, AI-driven dispute resolution mechanisms offer innovative solutions to resolve trade disputes promptly and efficiently. To address these complexities, policymakers must enhance data governance frameworks, promote IPR harmonisation, and foster regulatory cooperation at both domestic and international levels. By embracing the transformative potential of AI while upholding fundamental principles of fairness and transparency, stakeholders can build a more resilient and inclusive global trading system. The qualitative research methodology has been applied to the following article.

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References

2019Literature review as a research methodology: An overview and guidelines 2018The European Union General Data Protection Regulation: What It Is And What It Means 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation 2022Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda 2021Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI 2020Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs 2023Economic Analysis of Property Rights 2021Theoretical Framework for the Carbon Emissions Effects of Technological Progress and Renewable Energy Consumption

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2025The Impact of Cross-Border Data Flows on Digital Trade: A Comparative Analysis of the Benefits and Challenges for International Trade and Economic Development

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