Tsinghua University – Institute for AI International Governance (I-AIIG)

Overview

University-level research institution established in 2020 focused on major theoretical and policy issues in global AI governance; provides intellectual support to China's participation in international AI governance and convenes international dialogues.

Leadership

• Xue LanDean
• Liang ZhengVice Dean
• Xiao QianVice Dean

Website

Connections

• Concordia AI安远AIRecurring workshop co-hostingHigh
  CollaborationEvidenceEN
• Carnegie Endowment for International Peace – Technology and International AffairsChina AI researchJoint workshop co-hostingHigh
  CollaborationEvidenceEN
• China AI Safety and Development Association (CnAISDA)中国人工智能发展与安全研究网络Founding member institutionHigh
  MembershipEvidenceEN
• National New Generation AI Governance Professional Committee国家新一代人工智能治理专业委员会Shared leadershipHigh
  Personnel bridgeEvidenceZH
• Ministry of Foreign Affairs (MFA)外交部Senior-official personnel bridgeHigh
  Personnel bridgeEvidenceZH
• National People's Congress (NPC)全国人民代表大会Legislative personnel bridgeHigh
  Personnel bridgeEvidenceZH

Quoted in Voices

• International AI Cooperation

  “If AI governance loses its cooperative character, it will be unable to address cross-border risks. If it loses inclusivity, it will deepen the 'intelligence divide.' If it loses legitimacy, it will erode public trust. AI governance must therefore return to the correct track of global cooperation, building a global consensus and institutional understanding that treats AI governance as a 'global public good.'”

  Xue Lan (薛澜) · July 18, 2026Read full quote →

• AI Risk Governance & Agent Liability

  “Mechanistically, AI risk comes from three sources. The first is endogenous risk — risk arising from the inherent characteristics of the technical system itself, such as loss of control. The second is secondary risk at the application level — misuse, abuse, or deployment in inappropriate contexts. The third is derivative risk — broadly societal impacts like cognitive dependency and job displacement that are not directly caused by the technology itself but by how we structure our relationship with it.”

  Liang Zheng (梁正) · July 2026Read full quote →

• AI Risk Governance & Agent Liability

  “Agile governance means adapting to changing conditions and adjusting in real time. For AI governance, we have always emphasized 'small steps, fast pace.' When new problems emerge, don't lock everything down immediately — first assess whether existing governance tools are sufficient.”

  Liang Zheng (梁正) · July 2026Read full quote →

• AI Risk Governance & Agent Liability

  “From a technical perspective, AI has advanced at a breathtaking pace over the past two years. By comparison, the construction of socio-technical systems has lagged far behind. We can now say that AI development has entered the 'second half' — and building the socio-technical systems needed for AI's application in society has become extremely urgent.”

  Xue Lan (薛澜) · July 3, 2026Read full quote →

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