Atlas AI Institute · Policy Frameworks
Evidence-based frameworks for responsible AI governance across Bangladesh, South Asia, and the Global South.
Explore Atlas AI Institute's governance frameworks, national policy architecture, comparative AI policy research, and implementation-oriented resources designed for emerging economies and the Global South.
Atlas AI Institute develops legally precise, evidence-based, and development-oriented AI governance frameworks designed to strengthen regulatory capacity, digital sovereignty, responsible innovation, and public trust.
The frameworks are designed with particular attention to the realities of Bangladesh, South Asia, low- and middle-income countries, and the wider Global South.
A legally precise, modular governance framework built for low- and middle-income countries to assert regulatory authority, secure digital sovereignty, and drive structural economic transformation through AI—without simply copying high-income regulatory models designed for different economic contexts.
Bangladesh
Comprehensive Repository of AI Governance Frameworks & Standards
Policies, standards, implementation roadmaps, and guidance designed to support the responsible, secure, and trustworthy development, deployment, and governance of artificial intelligence in Bangladesh.
Comparative Research
A Comparative Review of National AI Governance Frameworks Worldwide
An in-depth comparative analysis of national AI policies and governance frameworks across 38 countries, benchmarked against OECD, UNESCO, EU AI Act, NIST, and G7 standards.
Framework Library
Global Framework
A development-first reference architecture for digital sovereignty, built for low- and middle-income countries.
National Framework
A comprehensive repository of policies, standards, and implementation roadmaps for AI governance in Bangladesh.
Comparative Research
Benchmarking national AI governance frameworks against OECD, UNESCO, EU AI Act, NIST, and G7 standards.
Framework Architecture
Development — the connecting thread across every domain
AI governance aligned with economic and social development.
Clear regulatory authority, institutional responsibilities, and implementation pathways.
Strengthening control over data, compute, infrastructure, and strategic AI capabilities.
Governance proportional to AI risks and deployment contexts.
Frameworks designed to move from policy principles toward practical implementation.
Built around the institutional and economic realities of emerging economies.
Frameworks are only effective when they can inform institutions, policy decisions, regulatory systems, and practical implementation.
Evidence, comparative analysis, standards, and policy intelligence.
Governance architecture, legal principles, risk models, and institutional design.
Policy adoption, institutional capacity, regulatory practice, and public-sector deployment.
Atlas AI Institute develops policy architecture from the perspective of countries navigating AI adoption under different economic, institutional, infrastructural, and regulatory conditions.
Not one-size-fits-all AI governance.
Context-aware governance for a changing world.
Access frameworks, comparative research, policy analysis, and governance resources developed by Atlas AI Institute.
