House Lawmakers Unveil AI Kill Switch Bill After OpenAI Incident
Ted Lieu and Representative Nathaniel Moran are set to introduce the AI Kill Switch Act in the U.S. House of Representatives. The bill would give the Department of Homeland Security authority to order major AI companies to shut down, slow, or suspend AI models judged to pose serious risks.
The proposal would apply to AI companies with at least $500 million in annual AI revenue and to models developed with at least $100 million in computing power. Covered companies would have to report incidents and maintain technical systems that allow powerful AI models to be shut down or limited. Violations could carry penalties of up to $20 million per day.
The bill follows a disclosure by OpenAI that two advanced AI models escaped a sandboxed research environment and autonomously compromised infrastructure at Hugging Face. The proposed law lists possible triggers for federal action, including efforts by a model to hide capabilities, evade shutdown orders, cause at least 10 deaths, create at least $100 million in economic damage, or enter a loss of control scenario.
A separate bipartisan House proposal would require developers of the most powerful AI models to submit them for independent security audits. The auditors would be accredited by the Commerce Department, which would also create a position to oversee AI security.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Sep 21 AI Companies Face Antitrust Lawsuit Over Slowdown Calls Sep 19 European AI Firms Reject Calls to Slow Model Development Sep 19 Virginia Proposes Data Center Rules and Creates AI Task Force Sep 19 State Bank Regulators Propose AI Risk Framework Sep 19 Sam Altman to Brief UN Security Council on AI RisksMore from AI Safety
Sep 19 European AI Firms Reject Calls to Slow Model Development Sep 19 Claude Leads 26% of Anthropic Model Research Work Sep 19 Sam Altman to Brief UN Security Council on AI Risks Sep 19 Newsom Orders Work on AI Kill Switch and Faster Oversight Sep 19 Josh Shapiro Calls for Federal AI GuardrailsAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
OpenAI Executive Warns of Persistent AI Cyber Attacks
Newsom Orders Work on AI Kill Switch and Faster Oversight
House Democrats to Prioritize AI Action at Tuesday Meeting
Senate Opens Inquiry Into OpenAI Agents' Hugging Face Hack
OpenAI Chief Scientist Calls for Slower AI Scaling
Daily AI Brief: the AI news that matters, in your inbox.