International Cooperation

International cooperation in AI governance covers the treaties, multilateral agreements, and shared principles that governments use to coordinate how AI is built and deployed across borders. Examples include the OECD AI Principles, the Council of Europe's AI convention, and the G7's Hiroshima AI Process, along with summit declarations and joint safety commitments. For compliance and legal teams, this area matters because it shapes which rules are likely to spread between jurisdictions, and where obligations that start in one country can quietly become expectations in others. Tracking these efforts helps companies anticipate convergence or divergence in requirements before they show up in binding law.

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ResearchISO/OECD/UN2026-10-25

National AI Evaluation Programs Are Expanding Into Agentic Risk

A Brookings Institution report finds that national AI evaluation programs in Singapore, Japan, the UK, and elsewhere are moving beyond basic safety benchmarks. The new scope covers multilingual behavior, agentic risk, sensitive data leakage, fraud, and cybersecurity. Enterprises whose vendor due diligence relies on earlier, narrower testing norms now face a shifting standard for what a tested and safe AI system actually means.

AI evaluation agentic risk frontier models Microsoft Singapore international cooperation vendor due diligence multi-jurisdiction compliance