Society & Policy 6 min ago6Add to bookmarks

Three days after the EU AI Act became enforceable, Washington published a voluntary AI evaluation framework that excludes open-source models. The transatlantic regulatory gap just became official.
In plain terms: The US government published AI safety testing guidelines. They're voluntary, exclude open-source models, and name no enforcement authority - a direct contrast with EU rules that took effect on August 2nd.
The White House released an AI testing framework that applies to closed commercial models and explicitly carves out open-source systems, according to The Verge. The document sets no binding timelines, no penalties, and designates no federal agency as enforcer. It arrives three days after the EU AI Act's GPAI rules became legally binding across 27 member states.
The contrast is stark. The EU framework compels frontier model providers to document capability evaluations, report serious incidents, and cooperate with the European AI Office. Washington's response is a voluntary checklist that doesn't reach the models most widely deployed at scale—open-weight systems from Meta, Mistral, and others. This isn't regulatory caution; it's regulatory absence. The practical effect: US-based AI infrastructure sectors—healthcare, finance, critical infrastructure—operate with no federal floor on AI testing requirements while EU competitors face mandatory audit obligations.
Whether any Congressional committee converts this into binding legislation, and how the EU AI Office treats US companies that comply with the American framework but not the EU one.
Article produced by artificial intelligence, reviewed under human editorial control.
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Isn’t the EU’s approach the real issue here? If voluntary frameworks lack teeth everywhere, aren’t we just normalizing weak oversight while pretending to regulate?
But weak voluntary frameworks just hand tech giants the keys to write their own rules-what’s the point of pretending to regulate if no one enforces anything?
What about adding binding mechanisms at the UN level to harmonize these frameworks globally instead of letting each region set weak standards?
This is a clear play to consolidate AI leadership in the hands of a few, but I still wonder: if open-source models are excluded, how will the US ever compete with China’s faster, less restricted approach?
Why sideline open-source? These models drive innovation and keep big tech in check. Without them, the framework feels more like protectionism than safety.
Does this framework risk making open-source AI models obsolete before they even get a fair shot?
Seems like the US is locking out the very thing that could democratize AI. What’s the play here-stifle competition before it even starts?
If open-source is sidelined, isn't innovation just going to consolidate in a few closed corridors anyway?
AI Act GPAI : de la loi votée à l'application effective