This study investigates artificial intelligence (AI)-driven knowledge transfer as a transformative catalyst for optimizing cross-border data flow regulation and advancing inclusive global cooperation, explicitly addressing the multi-dimensional equilibrium of privacy preservation, regulatory compliance and operational efficiency across diverse jurisdictions.
Based on the theory of knowledge capital, this study conceptualizes AI-driven knowledge transfer as a systematic migration and reconstruction process of knowledge capital in the cross-border regulatory field. This study employs a combination of quantitative regression analysis and multiple case studies, using regulatory datasets from the EU, China and the United States, to empirically examine the impact of AI-driven knowledge transfer on the efficiency, privacy protection and compliance of cross-border data flows. This approach empirically validates three core hypotheses regarding AI's capacity to enhance regulatory agility, fortify privacy safeguards through intelligent anonymization and sustain flow efficiency within compliance frameworks.
Empirical results confirm AI-driven knowledge transfer significantly elevates regulatory efficiency (e-commerce flow efficiency: 0.87), reduces privacy leakage risks and mitigates cross-jurisdictional friction via cooperative frameworks (standardized regression coefficient ß = 0.35). Actionable pathways include establishing AI-specific cross-border standards, implementing dynamic regulatory sandboxes and creating multilateral knowledge-sharing platforms. Limitations regarding emerging economies and evolving AI ethics are acknowledged.
This study pioneers conceptualizing AI not merely as a technical tool but as a knowledge-transfer enabler that disseminates regulatory protocols, risk models and compliance expertise across borders. It offers a novel theoretical framework for resilient, equitable global data governance and provides evidence-based strategies for policymakers. By charting future directions toward inclusive governance and sovereignty-technology equilibrium, it delivers timely scholarly and practical value for international digital cooperation.
