Research Pillar

AI Governance & Policy

Examining how governments around the world are approaching AI regulation, with a focus on US-China dynamics and the challenge of global coordination.

AI governance and policy

Key Governance Areas

Safety Standards

Examining emerging frameworks for AI safety testing, red-teaming, and risk assessment across jurisdictions.

Regulatory Approaches

Comparing the EU AI Act, US executive orders, and China's algorithmic regulations.

International Coordination

Analyzing efforts to establish global AI governance norms and the challenges of regulatory divergence.

Content Authenticity

Addressing the governance challenges posed by deepfakes, synthetic media, and AI-generated content.

The Governance Challenge

As AI capabilities advance rapidly, governance frameworks struggle to keep pace. Our research examines how different jurisdictions approach AI regulation, the tensions between innovation and safety, and the prospects for international cooperation.

Explore Governance Research