Constructing an Ethical Normative System for International Trade towards Trustworthy Artificial Intelligence


  •  Pu Zhao    

Abstract

This study proposes a comprehensive ethical framework to govern the development and deployment of artificial intelligence (AI) in international trade. The framework integrates insights from multi-stakeholder engagement, risk assessments, and existing ethical guidelines. It establishes five core ethical principles: fairness, privacy, transparency, accountability, and human values promotion. Operational guidelines and processes are provided to operationalize these principles across the AI system lifecycle, including risk mitigation protocols, impact assessments, stakeholder governance mechanisms, and capacity building provisions. The framework aims to foster responsible and trustworthy AI applications in international trade while addressing potential challenges such as balancing interests, cultural variations, resource constraints, and technological evolution. By proactively addressing ethical considerations, the framework represents a crucial step towards unlocking AI's transformative potential in international trade while safeguarding fundamental ethical tenets and societal interests.



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