🤖 AI Summary
This study addresses structural and conceptual gaps in AI safety governance—particularly regulatory fragmentation, insufficient global coordination, and limited participation from the Global South—that hinder cross-jurisdictional interoperability. Through a comparative analysis of China, South Korea, Singapore, and the United Kingdom across three high-risk domains—autonomous vehicles, education, and cross-border data flows—the research systematically integrates ethical, legal, and technical governance dimensions. It identifies convergences and divergences across seven key aspects: governance objectives, regulatory authorities, ethical principles, enforcement mechanisms, domain-specific frameworks, technical standards, and critical risks. Aligning interoperability pathways with the UN-endorsed Global Digital Compact and relevant UN resolutions, the study offers actionable policy recommendations that balance local contexts with global cooperation, thereby advancing an inclusive, effective, and trustworthy AI safety governance framework.
📝 Abstract
This policy report draws on country studies from China, South Korea, Singapore, and the United Kingdom to identify effective tools and key barriers to interoperability in AI safety governance. It offers practical recommendations to support a globally informed yet locally grounded governance ecosystem. Interoperability is a central goal of AI governance, vital for reducing risks, fostering innovation, enhancing competitiveness, promoting standardization, and building public trust. However, structural gaps such as fragmented regulations and lack of global coordination, and conceptual gaps, including limited Global South engagement, continue to hinder progress. Focusing on three high-stakes domains - autonomous vehicles, education, and cross-border data flows - the report compares ethical, legal, and technical frameworks across the four countries. It identifies areas of convergence, divergence, and potential alignment, offering policy recommendations that support the development of interoperability mechanisms aligned with the Global Digital Compact and relevant UN resolutions. The analysis covers seven components: objectives, regulators, ethics, binding measures, targeted frameworks, technical standards, and key risks.