White House Summons OpenAI, Google, Anthropic to Review AI Oversight Framework: Can Voluntary Testing Protocols Constrain AI Giants?

The core content of the White House AI oversight framework is a voluntary testing framework. According to The Information, this framework aims to evaluate the cybersecurity risks and cyber-attack capabilities of the world's most advanced AI systems. Unlike traditional mandatory regulation, this framework adopts a voluntary participation model — AI companies can independently choose whether to participate in testing and whether to publicly release test results. This design reflects the Trump administration's basic stance on AI regulation: encouraging innovation rather than restricting it, managing AI risks through industry self-discipline rather than government mandates. However, critics point out fundamental flaws in the voluntary testing protocol. First, the lack of enforcement power means AI companies can selectively participate in testing, only showcasing results favorable to them. Second, without independent third-party verification mechanisms, the credibility of test results is questionable. Third, voluntary frameworks cannot cover all AI developers — those irresponsible actors can completely bypass testing protocols, developing dangerous AI systems in the shadows. A senior official from the White House Office of Science and Technology Policy (OSTP) stated in an interview that the voluntary framework is just the first step, and the government is evaluating whether stronger regulatory measures are needed.

Meanwhile, unprecedented opposition voices have emerged from within the AI industry. According to NBC News, more than 1,000 employees from America's leading AI companies — including senior staff members and some co-founders at OpenAI, Anthropic, and Google DeepMind — signed a statement asking the U.S. government to help support international efforts to 'deliberately pace' cutting-edge automated AI development. Signatories include Anthropic's chief scientist Jared Kaplan, OpenAI's chief scientist Jakub Pachocki, Meta's chief scientist Shengjia Zhao, along with senior leaders from Google and Thinking Machines, a key Silicon Valley AI startup founded by OpenAI veterans. The statement's core argument is: AI systems may soon be able to automate their own research and development processes, meaning AI development speed will far exceed human understanding and control capabilities. The statement calls on the U.S. government to help create technical and policy tools that could control automated AI progress in coordination with other companies and countries. This marks the first time the AI industry has seen such a large-scale 'self-restraint' petition, reflecting AI practitioners' deep concerns about their creations potentially spiraling out of control.

Notably, OpenAI CEO Sam Altman did not sign this petition. This detail is telling — as the leader of one of the world's largest AI companies, Altman chose not to participate in his colleagues' collective petition, possibly reflecting his different attitude toward government regulation. Altman prefers to draw public attention by claiming on podcasts that humans are already 'in the singularity,' rather than pushing policy change through formal petition channels. This strategic difference may stem from commercial considerations — OpenAI is preparing a new funding round with a valuation potentially reaching $100 billion, and an overly aggressive regulatory stance could affect investor confidence. Another noteworthy development is the legislative dilemma of the federal AI framework. According to Mintz's AI Washington Report, a bipartisan federal AI framework remains stalled due to unresolved disputes over whether federal law should preempt state law. This means companies currently still face a fragmented state-level compliance landscape. California, New York, Colorado, and others have already enacted their own AI regulatory laws, while a unified federal framework remains elusive. This fragmentation increases AI companies' compliance costs and also reduces regulatory effectiveness.

From an international perspective, America's AI regulatory efforts contrast sharply with the European Union. The EU AI Act came into general application on August 2, 2026, adopting a mandatory regulatory model. According to Demócrata's reporting, the EU act requires AI systems to identify their AI nature, deepfake content must be identified, and high-risk AI systems must meet strict compliance requirements. However, the EU also recently passed a reform act (Regulation (EU) 2026/1744), postponing the compliance deadline for high-risk AI systems from August 2, 2026 to December 2, 2027. This postponement reflects difficulties the EU encountered in actual implementation — many companies stated they cannot complete compliance preparations by the original deadline. America's voluntary model and the EU's mandatory model each have advantages and disadvantages. The voluntary model is more flexible and won't excessively suppress innovation, but lacks enforcement power; the mandatory model is stricter and ensures all participants follow rules, but may increase business burdens and suppress innovation. An ideal regulatory framework may need to combine the strengths of both models — adopting mandatory standards in critical safety areas while preserving industry self-discipline space in non-critical areas. The White House's voluntary testing protocol may just be a starting point, with more mandatory requirements potentially introduced gradually in the future.