Global AI Governance Assessment for AI-Generated Content for a Globalized Digital World

AI-generated content has rapidly transformed the global information environment, challenged traditional legal systems, and exposed important gaps in international law. Through a doctrinal, comparative, and normative analysis of national laws, international conventions, bilateral agreements, and soft-law instruments adopted between 2000 and 2025, the study examines emerging regulatory models. The analysis identifies both convergence and divergence in global approaches, particularly regarding transparency, human oversight, accountability, and risk-based regulation. The findings also reveal a need for international consensus that AI systems must remain under meaningful human control and that transparency and rights protection are essential. However, significant tensions persist in enforcement mechanisms, regulatory philosophy, and geopolitical priorities, creating risks of fragmentation and regulatory arbitrage. The future of AI governance will depend on whether states can move beyond fragmented experimentation toward principled coordination. The challenge is not to eliminate diversity in regulatory models, but to anchor that diversity within shared minimum standards grounded in human dignity, accountability, and the rule of law. If international law can successfully adapt to the realities posed by AI-generated content, it will not only manage technological disruption but also reaffirm its relevance in the digital age.