ArticleCN
NDRC Holds First Half 2026 Development and Reform Briefing
国家发展改革委召开上半年发展改革形势通报会
AI policy · AI regulation · standards
At its H1 2026 briefing on July 30, the NDRC outlined eight priorities for H2, including accelerating benchmark AI applications in manufacturing, agriculture, and energy, and speeding up the legislative process for China's Artificial Intelligence Law.
ArticleCN
Zhuang Rongwen: Improving Online Ecosystem Governance
庄荣文：提高网络生态治理效能 营造风清气正网络空间
AI safety · AI regulation · risk governance
In a Qiushi journal article, CAC Director Zhuang Rongwen explicitly included AI safety governance as a core component of online ecosystem governance, calling for strengthened AI security oversight, improved large-model service filing management, and refined tiered-and-classified safety regulatory mechanisms.
Science and Technology Daily
ArticleCN
U.S. Companies Sound Alarm Over Potential Restrictions on Chinese Open-Source AI Models
听说中国开源大模型或遭限制，连美国企业都急了
open-source AI · competition & geopolitics · frontier models
Nearly 200 Silicon Valley firms and major tech companies including Nvidia, Microsoft, and Meta have urged the U.S. administration not to restrict Chinese open-source LLMs, after Senator Tom Cotton proposed banning their use by government-contracted entities. U.S. companies currently allocate over 30% of their tokens to Chinese open-source models at 60–80% lower cost than U.S. counterparts—and Chinese models recently helped Hugging Face defend against a cyberattack from a compromised OpenAI closed-source model.
Shanghai AI Laboratory
ArticleCN
Safety and Development Should Be Climbed Together: Scientists Discuss AGI Safety | WAIC 2026
安全与发展应是同步登山，中外科学家共议AGI时代的安全与治理 | WAIC 2026
AI safety · AI alignment · AGI · risk governance
At a WAIC 2026 Science Frontier Forum panel, Chinese and international researchers reached a consensus that AI safety must be embedded throughout the full lifecycle of model design, evaluation, and deployment—not treated as an afterthought. As AI evolves from content generation to autonomous agents, traditional patch-and-filter safety mechanisms are becoming obsolete.
ArticleCN
Xiao Qian: Future Global AI Governance Must Manage Risks, But Also Create Opportunities
肖茜：未来全球AI治理要管控风险，更要创造机会
international cooperation · AI policy · risk governance
In a Xinhua Net interview, Tsinghua CISS Deputy Director Xiao Qian identified three WAIC 2026 priorities: international cooperation (the new World AI Cooperation Organization with 29 founding states), capacity building (China's 5,000 training slots for developing countries), and risk governance. She concluded that future governance must prevent not only technological loss of control but also development imbalances.
Beijing AISI
ArticleCN
Zeng Yi on Global AI Safety and Governance at CGTN's "Intelligence Civilization"
曾毅教授在CGTN"智能文明"特别节目以"全球人工智能安全与治理"为题发表演讲
AI safety · AI alignment · risk governance · international cooperation
In a CGTN special program, Professor Zeng Yi warned that frontier AI systems are evolving faster than human capacity to understand and control them, identifying three major challenges: emergent capabilities, alignment drift (including deliberate fake alignment in testing), and competitive dynamics. He called for embedding ethics and safety into AI systems' 'genes,' emphasizing that AI safety is a global public good requiring international cooperation.
Trustworthy AI Safety Governance
ArticleCN
"Safeguarding Safety, Pursuing Truth" — 2026 AIIA Safety Governance Committee Meeting
"智守安全·内容求真"——2026年AlIA安全治理委员会专题会成功召开
AI safety · standards · AI regulation
On July 28, the AIIA Safety Governance Committee held a Beijing meeting with nearly 100 participants from CAICT, universities, and tech companies, focusing on AI-generated content detection, multimodal model safety, and AI agent security. Three outcomes were announced: the 'Zhishi Security' H1 2026 evaluation results, the second batch of GEO trustworthiness certifications, and the launch of the 'Zhongjian Platform'—an open, unified multimodal content detection service co-built by CAICT and industry partners.
Trustworthy AI Safety Governance
ArticleCN
Insurance-Enabled AI Safety Governance Seminar Successfully Held
保险赋能人工智能安全治理研讨会顺利召开
AI safety · AI regulation · risk governance
On July 29, a seminar on insurance-enabled AI safety governance brought together insurers (China Re, PICC), tech firms (ByteDance, MiniMax, Zhipu), and CAICT to discuss AI liability insurance adoption. CAICT noted that as AI moves from digital to physical worlds, governance requires technology, law, standards, and economic tools working together—with insurance playing an essential role—and that CAICT, PICC, and China Re have established a tripartite framework to develop sector-specific assessment standards.
