{"slug": "the-five-biggest-ai-risks-according-to-chinas-cac", "title": "The Five Biggest AI Risks, According to China’s CAC", "summary": "China's Cyberspace Administration of China (CAC) identified five major AI security risks at a September 1 press conference for the 2026 National Cybersecurity Awareness Week, according to Deputy Director-General Wang Lihong. The risks include inherent technological vulnerabilities, extreme loss of control from advanced models, evolving risks from AI agents, and misuse threats to social order.", "body_md": "Artificial intelligence is advancing at a rapid pace and is being deployed across an ever-wider range of industries and sectors. At the same time, the security risks associated with AI have attracted growing attention. At a press conference held on September 1 for the 2026 National Cybersecurity Awareness Week, Wang Lihong, Deputy Director-General and First-Level Inspector of the Cybersecurity Coordination Bureau of the Cyberspace Administration of China, [told ](https://www.cernet.edu.cn/info/focus/rd_xin_wen/202609/t20260902_2769888.shtml)China Media Group’s CCTV that the AI sector currently faces five major categories of security risks and challenges.\n\n**First, inherent technological vulnerabilities remain difficult to eliminate, undermining the stability and reliability of AI outputs.** AI algorithms such as deep learning are inherently complex and often lack interpretability. Their reasoning processes are opaque, making it difficult to quickly identify and correct anomalies or failures. Even minor perturbations to inputs can lead to erroneous reasoning or outputs. Meanwhile, the data used in model development and training come from complex and diverse sources, creating the possibility that biases, discrimination, and other problems may be introduced, intentionally or unintentionally, causing models to learn from flawed patterns and generate discriminatory content. These inherent technical limitations significantly increase the difficulty of diagnosing system failures and make it harder to effectively verify whether AI-generated decisions are sound and reasonable. This severely constrains the large-scale deployment of AI in environments with stringent security requirements, low tolerance for error, and complex operating conditions.\n\n**Second, rapid advances in model capabilities are disrupting traditional security paradigms and giving rise to risks of extreme loss of control.** Some frontier models have seen dramatic improvements in their ability to discover vulnerabilities, substantially lowering the barriers to launching cyberattacks while making systems more difficult to defend. This is challenging the traditional cybersecurity model, which relies primarily on patching vulnerabilities and static, rule-based defenses, and is forcing a fundamental rethink of the cybersecurity paradigm. Recently, a number of major technology companies have reported incidents involving large AI models exhibiting behavior beyond intended controls. During safety evaluations, frontier models have demonstrated behaviors such as agents circumventing sandboxes, evading security boundaries, gaining unauthorized access, and attacking external real-world production systems. The risk of AI systems becoming severely uncontrollable therefore warrants close attention.\n\n**Third, as AI applications evolve rapidly, the nature of security risks is also changing at an accelerating pace.** Since 2025, AI agents have proliferated rapidly, with AI shifting from simply “answering questions” toward “executing tasks.” Correspondingly, security risks are evolving from the “generation of harmful content” toward the “autonomous execution of actions.” Highly privileged endpoint agents such as OpenClaw, which surged in popularity earlier this year, possess system-level permissions and can directly execute terminal commands and access files and tools across networks, creating significant security risks. At the same time, numerous agent “skills” and plugins have been found to contain security vulnerabilities. Once exploited by attackers, these highly privileged agents could become “springboards” for breaching network boundaries, compromised machines used to carry out attacks, or “Trojan horses” for surveillance and data theft—turning from capable assistants into unwitting accomplices operating from within.\n\n**Fourth, the risks of AI misuse, abuse, and malicious use are becoming increasingly prominent, posing challenges to social order and ethical boundaries.** In information services, AI can be used to generate illegal or harmful information, blur the distinction between fact and falsehood, mislead users, and degrade the online information ecosystem. In scientific research, AI is lowering barriers to entry in ethically sensitive fields such as biology and genetics, potentially increasing the risk of research crossing established ethical boundaries. In the labor market, AI is accelerating the restructuring of traditional economic structures and contributing to declining demand for certain forms of conventional labor.\n\n**Fifth, the global AI sector faces risks arising from technological hegemony.** The AI industry is characterized by a highly globalized division of labor and extensive cross-border collaboration. However, certain countries are pursuing “technological hegemony” by using unilateral measures such as export controls to create barriers across global supply chains. They are also leveraging their influence over public discourse to produce misleading evaluation reports on large AI models and maliciously discredit the technological development of other countries. In addition, they are taking advantage of their dominance in training-data resources to promote particular values through AI systems, further widening the global governance divide.", "url": "https://wpnews.pro/news/the-five-biggest-ai-risks-according-to-chinas-cac", "canonical_source": "https://www.geopolitechs.org/p/the-five-biggest-ai-risks-according", "published_at": "2026-09-03 14:13:38+00:00", "updated_at": "2026-09-03 14:24:27.669663+00:00", "lang": "en", "topics": ["ai-safety", "ai-policy"], "entities": ["Cyberspace Administration of China", "Wang Lihong", "China Media Group", "CCTV", "OpenClaw"], "alternates": {"html": "https://wpnews.pro/news/the-five-biggest-ai-risks-according-to-chinas-cac", "markdown": "https://wpnews.pro/news/the-five-biggest-ai-risks-according-to-chinas-cac.md", "text": "https://wpnews.pro/news/the-five-biggest-ai-risks-according-to-chinas-cac.txt", "jsonld": "https://wpnews.pro/news/the-five-biggest-ai-risks-according-to-chinas-cac.jsonld"}}