US-China AI Cooperation Emerges as Critical Safety Need, Wired Reports From Beijing Conference

Mounting Pressure for US-China AI Collaboration

Frontier AI’s cybersecurity and systemic risks are too serious for the US and China to remain locked in zero-sum competition, according to researchers gathered at a major artificial intelligence conference in Beijing’s Zhongguancun district in mid-June. According to Wired AI, the conference, organized by the Beijing Academy of Artificial Intelligence, featured leading figures in computing and reinforcement learning, and surfaced a unifying concern: the world’s two dominant AI powers must cooperate on safety despite their broader economic and technological rivalry.

The conference underscored an uncomfortable paradox: as AI models become more powerful and agentic—capable of autonomous tool use and iterative self-improvement—the potential for both intentional misuse and catastrophic failure grows. Yet unilateral restrictions, such as the US government’s recent order to Anthropic to restrict access to its most advanced models, Mythos and Fable 5, over national security concerns, may prove ineffective against threats that affect both nations equally. According to Wired AI, Anthropic responded by revoking access for all users, including some flagged as potential security risks.

Shared Vulnerability in Agentic AI Systems

The conference highlighted concrete technical risks that transcend geopolitical boundaries. According to Wired AI, sessions covered new kinds of vulnerabilities in AI-generated code, novel attack vectors enabled by agentic tool use, and automated social engineering methods. MIT computer scientist Stephen Casper, who participated via video, framed the stakes in historical terms: just as the US and Soviet Union were compelled to cooperate on nuclear dangers despite seeking to out-develop one another, current AI superpowers face a similar imperative.

Casper’s position reflects emerging research consensus that international collaboration on AI safety risks yields net benefits over the national security costs of restricted information sharing. According to Wired AI’s account of the conference, this argument resonated across Chinese and US researchers alike—a rare alignment in an otherwise adversarial landscape.

Why This Matters

For US policymakers, the case challenges the current export-control-first approach: bilateral working groups on agentic AI safety could yield faster threat detection and shared mitigation strategies than unilateral chip restrictions. For frontier labs like Anthropic and comparable Chinese AI companies, it justifies selective disclosure of threat models and red-team findings despite export controls, provided verification mechanisms prevent weaponization. For international bodies, it signals an urgent need for formal treaties on AI incident reporting and coordinated safety testing—similar to nuclear weapons treaties—before agentic systems proliferate beyond current boundaries.