As artificial intelligence (AI) becomes increasingly integrated into contract management systems, particularly within international procurement frameworks, ensuring ethical governance is paramount. This review explores the intersection of AI ethics, legal compliance, and procurement transparency, focusing on the development of robust governance structures to mitigate risks such as algorithmic bias, opacity, and data misuse. The paper evaluates the role of ethical principles—including accountability, fairness, transparency, and human oversight—in guiding AI-driven decision-making processes within cross-border procurement ecosystems. Special emphasis is placed on international legal standards, procurement regulations, and the ethical dilemmas posed by automated contract generation, performance tracking, and risk assessment. Additionally, the review examines best practices and policy frameworks from multilateral organizations, identifying gaps in current governance models and proposing a harmonized approach to AI oversight. By synthesizing findings from interdisciplinary literature and case studies, this paper aims to provide a comprehensive framework for designing ethical AI governance structures that align with international norms, institutional integrity, and sustainable procurement goals.
Uddoh et al. (Fri,) studied this question.
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