AI and Ethics in Global Decision-Making Systems

Abstract

In the evolving landscape of global commerce, artificial intelligence (AI) is transforming decision-making systems at unprecedented speed, from algorithmic pricing and trade compliance to cross-border financial risk assessment; however, its ethical implications remain fragmented across disciplines. This chapter explores the tension between AI’s transformative economic potential and its risks, including algorithmic bias, opaque decision-making, and cross-cultural inequities. Drawing on real-world examples (e.g., biased credit scoring, automated trade screening), we analyse gaps in existing ethical frameworks, such as the EU AI Act and OECD principles, and their adaptability to global trade AI systems. We propose a paradigm shift through a convergent model that integrates technical robustness, regulatory compliance, and stakeholder inclusivity, tailored to the global trade ecosystem. By drawing insights from computer science, social ethics, international law, and global business, this chapter outlines actionable strategies for embedding fairness, accountability, and transparency (FAT) in AI systems that shape international commerce. Ultimately, we argue that building ethical AI in international trade is not just only policy reform but cross-sector collaboration. this approach supports the volume mission to bridge disciplinary gaps and create sustainable, equitable solutions aligned with human rights and inclusive economic development.