AI Governance & Policy
AI governance and policy research examines how to construct effective AI regulatory frameworks, international governance mechanisms, and risk assessment systems. Core topics include frontier AI model evaluation, compute governance, international AI agreements, licensing regimes, and auditing frameworks. This field provides the institutional safeguards for AI alignment, ensuring that technical safety research findings are translated into enforceable policies and regulatory practices.
Research Progress
Mark your research stage in this field. Just a rough outline.
领域资源
期刊
- AI & Society (Springer) → (Springer)
- Information Society (Taylor & Francis) → (Taylor & Francis)
学会/组织
- Partnership on AI → (Partnership on AI official website)
- OECD AI Policy Observatory → (OECD official website)
综述/资源库
- AI Alignment Forum → (Alignment Forum)
- AIES Conference (AAAI/ACM) → (AIES official website)
Recent Publications
Source:: arXivAuthor A, Author B · 2026-08-15
This paper presents recent developments and open problems in the field, with new results on key conjectures.
Researcher C, Researcher D · 2026-07-22
We introduce a novel approach that unifies several classical results, providing new insights into long-standing questions.
Papers fetched from arXiv API automatically, for reference only. Updated periodically.
全球最好的大学项目
Harvard University
Harvard Kennedy School - AI Governance and Policy
United States · MPP/PhD/Executive
Harvard Kennedy School is a global leader in AI governance and policy research, integrating perspectives from public policy, technology assessment, and international relations to study AI regulatory frameworks, international AI governance, and policy safeguards for AI alignment. The school has trained a large number of policymakers and researchers in the field of AI governance.
Massachusetts Institute of Technology
Social and Ethical Responsibilities of Computing (SERC)
United States · PhD/Postdoc/Undergraduate
MIT SERC is the core interdisciplinary initiative of the MIT Schwarzman College of Computing, studying the social and ethical responsibilities of computing technologies, particularly AI. SERC embeds AI governance research into MIT's technology education and research system, providing a complete governance research chain from the classroom to policy for AI alignment.
University of Oxford
Oxford Martin School - AI Ethics & Society Programme
United Kingdom · DPhil/Postdoc/Fellowship
The AI Ethics & Society Programme at the Oxford Martin School is a major academic platform for studying the societal impact and governance mechanisms of AI technologies. The programme integrates perspectives from philosophy, law, sociology, and computer science to study the social dimensions of AI alignment and governance strategies, forming Oxford's AI governance research ecosystem together with GovAI and the Institute for Ethics in AI.
University of Oxford
Governance of AI (GovAI) Program
United Kingdom · DPhil/Postdoc/Fellowship
GovAI is the University of Oxford's flagship research program focused on AI governance, studying governance mechanisms for frontier AI systems, international coordination, and policy design. Led by Allan Dafoe, it is one of the most influential academic programs in AI governance, providing institutional safeguards and policy frameworks for AI alignment.
Tsinghua University
Institute for AI International Governance (I-AIGC) / AI Safety and Governance
China · PhD/Postdoc
The Institute for AI International Governance at Tsinghua University is China's core academic institution for AI governance research, studying AI safety governance, international AI coordination, and AI policy design. Leveraging Tsinghua's dual strengths in AI technology (Institute for AI) and public administration (School of Public Policy and Management), it provides a governance research and international dialogue platform for AI alignment from a Chinese perspective.
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