Promising Signals on AI Governance from China

2026-04-06 · Source: Machine Intelligence Research Institute · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Public Policy & Governance, Regulatory Affairs & Government Relations · Depth: Fundamental Awareness, medium

Summary

China has consistently advocated for global AI governance since 2017, with key figures expressing concerns about uncontrolled AI development. Vice Premier Ding Xuexiang warned against "reckless competition" at the 2025 World Economic Forum, urging robust international rules under the UN framework. President Xi Jinping agreed with then-President Joe Biden in November 2024 that AI should not control nuclear weapons. Ambassador Zhang Jun emphasized the need for risk awareness and mechanisms to prevent "autonomous machine killing" in a 2023 UN Security Council briefing. Premier Li Qiang called for a global AI governance framework with broad consensus at the July 2025 World Artificial Intelligence Conference. The PRC Ministry of Foreign Affairs' October 2023 Global AI Governance Initiative supports establishing a UN-based international institution for AI governance. China's AI safety institute, CnAISDA, founded in June 2025, also highlights the collective need for AI governance, with its leaders like Andrew Yao and Yi Zeng warning of "existential risks" from superhuman AI.

Key takeaway

For CTOs and VPs of Engineering evaluating international AI policy, China's consistent push for global AI governance, including calls for a UN-backed institution and explicit warnings about "existential risks," signals a critical need for your organization to engage with emerging international standards. Your teams should prioritize understanding and contributing to these evolving frameworks to ensure future AI deployments align with global safety and ethical guidelines, mitigating potential regulatory hurdles and fostering responsible innovation.

Key insights

China advocates for international cooperation and robust governance frameworks to mitigate AI's existential risks and ensure human control.

Principles

• AI risks are inherently international.
• Humanity must retain the "stop button" for AI.
• AI should be human-centric and trustworthy.

Method

Establish an international institution under the United Nations framework to coordinate efforts, formulate robust rules, and enhance technological capacity for AI risk prevention and governance.

In practice

• Develop technologies for AI risk prevention.
• Monitor AI safety, including potential to endanger humans.
• Strengthen detection and evaluation across AI lifecycle.

Topics

• Global AI Governance
• AI Safety
• China's AI Policy
• International Cooperation
• Existential AI Risk

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, AI Ethicist, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Intelligence Research Institute.