Globally, AI governance is evolving unevenly as countries balance innovation, risk, and economic opportunity. The European Union has introduced the AI Act, a comprehensive, risk-based framework that regulates AI systems and general-purpose models, with strong enforcement through both national authorities and EU-level institutions, setting a global compliance benchmark. In contrast, the United States relies on a fragmented mix of federal policy guidance, state laws, and sector-specific regulation, with increasing attention to cybersecurity threats, transparency, and AI misuse rather than a single unified law. Across the Asia-Pacific region, including Australia and Pacific Island nations, governments are prioritising rapid AI adoption, digital transformation, and infrastructure development, while regulatory frameworks remain limited or emerging. In countries like New Zealand and Papua New Guinea, debates focus on balancing economic growth with governance, sovereignty, and data protection, as reliance on offshore AI systems raises concerns. Overall, regulation is lagging behind adoption, while cybersecurity and sovereignty are becoming central global priorities.
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