The White House has developed a new voluntary framework for assessing advanced artificial intelligence models, purposefully excluding open-source systems from its scope, according to Axios. The policy, which was subjected to a staff-level review on Tuesday, establishes specific oversight protocols for what the administration defines as "covered frontier models."
Under this framework, covered systems are categorized as closed-source, high-capability models that potentially present national security risks. The policy dictates a 30-day pre-release review window during which staff access to these models will be strictly restricted. Throughout this period, the technology must be maintained in high-security environments, with mandatory, granular logging of all user activity to ensure oversight. The administration has indicated that the evaluation process will involve a cross-functional group of officials rather than a single agency.
While the framework remains internal and is not slated for public release, meetings held on Tuesday focused on aligning industry participants with these new expectations. Companies were advised to submit models to the government for review as close to their final release date as possible to ensure the evaluation reflects the finished product. The directive explicitly states that these provisions should not be interpreted as a restriction on the deployment of open-source models once they have already been released to the public.
Key Framework Specifications
| Feature | Requirement |
|---|---|
| Review Period | 30 days pre-release |
| Model Status | Closed-source, frontier-level |
| Access Control | High-security environment with detailed logs |
| Disclosure | No public release of framework planned |
Contextually, the executive order governing these procedures clarifies that benchmarking intended to assess advanced cyber capabilities will remain classified. This lack of transparency has left several industry players—particularly those not invited to the initial briefings—without clear guidance on how their systems will be treated.
Why It Matters
This framework signals a major shift in how the federal government perceives the dual-use nature of AI. By specifically targeting closed-source, high-capability models, the administration is effectively creating a tiered regulatory environment. This approach may accelerate the "bifurcation" of the AI sector, where smaller companies with less advanced systems operate with minimal friction, while the largest players are forced to reconcile their R&D timelines with a multi-agency government review process. Such oversight could fundamentally alter the speed at which frontier labs can safely ship products compared to their international competitors.
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