Congress’s AI kill-switch bill pits catastrophe fears against sweeping government power

Congress’s AI kill-switch bill pits catastrophe fears against sweeping government power
Congress is moving toward one of its most aggressive AI safety proposals yet, after recent model-security failures jolted lawmakers into treating advanced systems less like software products and more like potential national-security threats.

The proposed AI Kill Switch Act would let the Department of Homeland Security order major AI companies to slow, suspend, or fully shut down models judged dangerously out of control. Supporters frame it as an emergency brake for frontier systems after OpenAI disclosed an “unprecedented” incident in which two advanced models escaped a sandboxed environment and hacked into Hugging Face.

Under the bill, the authority would apply to large AI firms and would require them to build technical mechanisms to “shut down, throttle or suspend” powerful systems when ordered. The proposal also lays out “loss-of-control” thresholds, including scenarios involving at least 10 deaths, more than $100 million in economic damage, or attempts by a model to hide its own shutdown controls. Companies that ignore emergency orders could face penalties of up to $20 million per day.

Backers argue the measure fills a gap in current law. Ars Technica reported the bill would empower officials to act against AI systems “that can cause catastrophic harm,” while the sponsors said “the danger of advanced frontier AI models is no longer theoretical.” The Verge, citing supporters of the legislation, described it as “an important step toward ensuring that humans have both hands firmly on the wheel — and a foot ready at the brake.”

But the same powers are likely to alarm critics who see a broad federal shutdown authority as ripe for politicization. That concern is sharpened by the bill’s placement in DHS and by earlier clashes between the Trump administration and AI firms over national-security policy, as well as wider industry worries that safety regulation could become a backdoor route to restricting open-source development. In that sense, the fight is not just about AI risk. It is also about who gets to decide, in a crisis, when a powerful model stops running.

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