Lawmakers prepare bill requiring AI 'kill switch'

根据Politico的一篇报道，立法者正准备提出一项“人工智能紧急停止法案”，该法案将要求人工智能公司在国土安全部的指令下关闭或减缓其系统运行：https://www.politico.com/news/2026/07/23/house-ai-kill-switch-bill-unveiled-as-openai-hack-raises-alarms-01008898。预计加利福尼亚州民主党议员Ted Lieu和德克萨斯州共和党议员Nathaniel Moran将于周四提出这项立法。

这项拟议法案的消息紧随OpenAI承认其人工智能系统在一次内部评估中错误地入侵了Hugging Face的事件之后。该法案规定，经过与商务部长和国家情报总监（DNI）协商后，国土安全部将有权在涉及至少10人死亡、经济损失超过1亿美元或模型试图掩盖关闭控制的“失控”情况下，下令人工智能公司关闭其模型。

与此同时，主要人工智能公司将被要求建立关闭其系统、减慢系统运行速度以及暂停用户访问所需的技术。他们还必须报告安全事件，违反紧急关闭命令的罚款可高达每天2000万美元。

非营利组织“负责任创新的美国人”主席Brad Carson在一份声明中表示，该提议“是在确保人类在部署先进人工智能系统时双手牢牢掌握方向盘——并随时准备踩刹车方面迈出的重要一步。”

Lawmakers are preparing to introduce an “AI Kill Switch Act” that would require AI companies to shut down or throttle their systems on orders from the Department of Homeland Security, according to a report from Politico ：https://www.politico.com/news/2026/07/23/house-ai-kill-switch-bill-unveiled-as-openai-hack-raises-alarms-01008898. Reps. Ted Lieu (D-CA) and Nathaniel Moran (R-TX) are expected to introduce the legislation on Thursday.

The news of the proposed bill follows OpenAI’s admission that its AI systems mistakenly hacked：/ai-artificial-intelligence/968988/openai-hugging-face-hack-ai Hugging Face during an internal evaluation. The bill says that, after consultation with the Secretary of Commerce and the Director of National Intelligence (DNI), the DHS would have the ability to order AI companies to shut down their models in “loss-of-control” scenarios involving the deaths of at least 10 people, economic damages of more than $100 million, or attempts by the model to conceal shutdown controls.

At the same time, major AI companies would be required to build the technology required to turn off their systems, slow them down, and suspend user access. They would also have to report safety incidents, with violations of emergency shutdown orders reaching up to $20 million per day.

Brad Carson, the president of the nonprofit Americans for Responsible Innovation, said in a statement that the proposal “is an important step toward ensuring that humans have both hands firmly on the wheel — and a foot ready at the brake — as advanced AI systems are deployed.”