Discover how multi-level governance can balance innovation with responsibility in the age of artificial intelligence
AI Federalism distributes AI governance across multiple levels - international, national, regional, and local - ensuring decisions are made at the most appropriate level.
Like political federalism, it balances centralised coordination with local autonomy, allowing for both unified standards and tailored solutions.
Enables international cooperation on AI safety whilst respecting national sovereignty and local values.
Click on each level to explore their roles and powers:
Click on any level in the pyramid above to see detailed information about their responsibilities, powers, and real-world examples in AI governance.
Explore how different AI challenges are handled across governance levels:
See how AI Federalism addresses real-world challenges through coordinated multi-level governance.
Decisions made at the level best equipped to handle them
Protects innovation whilst ensuring safety and ethics
Respects local values and cultural differences
Adapts quickly to technological changes
Ensures public participation at appropriate levels
Distributes regulatory risk across multiple levels
Explore how different regions implement AI Federalism:
Comprehensive regulation
Sectoral approach
Principles-based framework
State-led coordination
Innovation sandbox model
Federal-provincial cooperation
Each region demonstrates different aspects of AI Federalism in practice.
First major AI ethics frameworks emerge from tech companies and research institutions.
EU's GDPR creates first major AI-relevant regulations with algorithmic transparency requirements.
European Union proposes comprehensive AI regulation, pioneering risk-based approach.
International cooperation accelerates with UK hosting first global AI safety summit.
World's first comprehensive AI law comes into force, setting global precedent.
Multi-level governance structures emerge as standard approach globally.
You've explored the interactive world of AI Federalism. Now discover how this governance approach is shaping the future of artificial intelligence across the globe.