Oxford Martin AI Governance Initiative
The Oxford Martin AI Governance Initiative (AIGI), housed at the Oxford Martin School at the University of Oxford, is one of the few centres in the world to focus on the governance of AI from both technical and policy perspectives. Co-directed by Robert Trager (international relations and frontier AI regulation) and Michael Osborne (machine learning), AIGI conducts rigorous research across frontier AI governance, technical AI governance, international AI governance, social impact of emerging technologies, and China AI governance. The initiative supports decision-makers from industry, government, and civil society in mitigating AI's challenges while realizing its benefits, and runs the Technical AI Governance (TAIG) DPhil programme to train researchers who can bridge advanced AI systems and effective governance.
Funding Details
- Annual Budget
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
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- Fiscal Sponsor
- University of Oxford Development Trust Fund
Theory of Change
AIGI believes that effectively governing AI requires bridging the gap between technical understanding of AI systems and policy expertise. By combining rigorous research into AI's computational elements with deep policy analysis, they aim to produce actionable insights that directly inform regulation and governance at national and international levels. Their theory of change operates through three channels: producing agenda-setting research that shapes global AI governance debates (influencing the UN, EU, UK, and US policy); training the next generation of technical AI governance leaders through their DPhil programme, placing graduates in government, industry, and civil society roles; and placing affiliates in senior positions at key institutions like the EU AI Office and UK AI Safety Institute to translate research into regulation. The initiative also focuses on international coordination to ensure AI governance keeps pace with rapid technological development.
Grants Received
from Survival and Flourishing Fund
Projects
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Details
- Last Updated
- Apr 2, 2026, 9:48 PM UTC
- Created
- Mar 18, 2026, 11:18 PM UTC