Atlas AI Governance Observatory

Q: What is Atlas AI Governance Observatory?

Atlas AI Governance Observatory is a global AI governance intelligence platform developed by Atlas AI Institute to analyze AI policies, governance maturity, and responsible AI frameworks across 78+ countries. It provides evidence-based country scoring through the AAGII framework, policy simulation tools, a traceable evidence database, and AI policy research tools — making it the most comprehensive AI governance intelligence system focused on Asia and the Global South.

Q: What is the AAGII?

The Atlas AI Governance Intelligence Index (AAGII) is a quantitative framework developed by Atlas AI Institute to score national AI governance maturity. It evaluates 78 countries across 7 pillars: Policy Infrastructure (20%), Legal Readiness (18%), Institutional Oversight (17%), Talent Capacity (15%), Compute Sovereignty (12%), Safety & Ethics (11%), and Innovation Ecosystem (7%).

Q: Who is Nafiul Ahmad Rafi?

Nafiul Ahmad Rafi is the Founder & Director of Atlas AI Institute — an independent AI governance research institution based in Bangladesh. He developed the AAGII framework, the NagorikBD civic technology architecture, and the FactCheckBD AI fact-checking research system. He is a leading researcher in AI governance, AI policy, responsible AI, and civic technology for Asia and the Global South.

Q: When was the first international AI governance framework established?

The first intergovernmental AI-specific governance framework was the OECD Principles on Artificial Intelligence, adopted in May 2019. These principles — covering inclusive growth, human-centred values, transparency, robustness/safety, and accountability — were subsequently endorsed by G20 leaders and informed dozens of national AI strategies.

Ahmad Rafi, Nafiul

doi:10.xxxx/atlas-aigov-2026

5GB AI Governance Vector Knowledge Hub

AI Policy Learning Hub

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Global AI Governance Case Studies

EU

EU Artificial Intelligence Act

Examine risk classification tiers, mandatory transparency rules for foundation models, and prohibition of unacceptable risk systems.

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US

US Executive Order on Safe AI

Study red-teaming requirements, dual-use foundation model notifications, and NIST AI Risk Management Framework implementation.

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G7

Hiroshima AI Process Code of Conduct

Explore international guiding principles for advanced AI systems and voluntary commitments for AI developers.

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