<p>This paper presents a comprehensive comparative analysis of Singapore and France’s artificial intelligence (AI) governance models, examining how these distinct approaches interact with and are shaped by international organizations and global governance frameworks. Drawing on Zürn’s theory of global governance, focusing on authority, legitimacy, and contestation, and complementary theoretical perspectives, including policy diffusion and multi-level governance, this study explores the dichotomy between Singapore’s innovation-driven approach and France’s ethical-centric AI governance while analyzing the formative influence of European Union regulations and broader international standards. Through systematic qualitative content analysis of policy documents, regulatory frameworks, and implementation reports, this research uncovers the underlying political, economic, and cultural drivers that shape how these two countries navigate the complex terrain of AI governance amid global interdependencies. The findings suggest that effective global AI governance requires a polycentric approach that balances universal ethical principles with localized implementation strategies, offering important insights for policymakers and scholars working toward responsible global AI development.</p>

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Harmonizing artificial intelligence (AI) governance: A comparative analysis of Singapore and France’s AI policies and the influence of international organizations

  • Haris Alibašić

摘要

This paper presents a comprehensive comparative analysis of Singapore and France’s artificial intelligence (AI) governance models, examining how these distinct approaches interact with and are shaped by international organizations and global governance frameworks. Drawing on Zürn’s theory of global governance, focusing on authority, legitimacy, and contestation, and complementary theoretical perspectives, including policy diffusion and multi-level governance, this study explores the dichotomy between Singapore’s innovation-driven approach and France’s ethical-centric AI governance while analyzing the formative influence of European Union regulations and broader international standards. Through systematic qualitative content analysis of policy documents, regulatory frameworks, and implementation reports, this research uncovers the underlying political, economic, and cultural drivers that shape how these two countries navigate the complex terrain of AI governance amid global interdependencies. The findings suggest that effective global AI governance requires a polycentric approach that balances universal ethical principles with localized implementation strategies, offering important insights for policymakers and scholars working toward responsible global AI development.