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

Professional & Academic Career Mode

Career Simulation Mode

Prepare for high-stakes international meetings, research defenses, and policy consultations.

International ConferenceExpert

G7 Ministerial Consultation on Frontier AI Safety

You represent a national delegation advocating for international technical safety standards without stifling open-source research.

Simulation Objectives:

•Articulate clear risk categories for foundation models.
•Propose international compute monitoring benchmarks.
•Maintain diplomatic balance between regulatory enforcement and open-science values.

Professor MeetingAdvanced

Academic Peer Review & Methodology Defense

Defend your empirical findings on AI policy implementation across developing economies before a university tenure committee.

Simulation Objectives:

•Explain your qualitative survey sampling strategy.
•Defend against potential selection bias criticisms.
•Highlight policy insights for public sector adoption.

Policy ConsultationProfessional

Enterprise AI Governance Consultation

Advise a multinational financial enterprise on complying with new EU AI Act transparency rules.

Simulation Objectives:

•Identify high-risk automated decision workflows.
•Develop algorithmic audit protocols.
•Draft clear executive compliance summaries.