Ro Khanna Introduces AI Safety Bill Banning Recursive Self-Improving AI Until Safeguards Exist

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Silicon Valley Rep. Ro Khanna introduced the Human Control Over AI Act, banning recursive self-improving AI until federal guardrails exist. The bill creates a new federal agency to regulate frontier models from OpenAI, Anthropic, Google DeepMind and xAI, with criminal penalties for disabling safeguards and strict liability insurance requirements for AI companies.

Ro Khanna Introduces Comprehensive AI Safety Bill

Silicon Valley Democratic Rep. Ro Khanna introduced the Human Control Over AI Act, an AI safety bill that would ban recursive self-improving AI until the government establishes federal safeguards

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. The legislation targets advanced AI models that can autonomously modify their own core objectives, containment or shutdown controls

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. "There's actually a civilizational extinction risk," Khanna told CNBC Monday, emphasizing both safety risks of loss of control and misuse risks that demand serious attention

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. The bill summary was shared exclusively with CNBC and represents what Khanna calls "the most comprehensive AI safety legislation" proposed to date

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Source: The Next Web

Source: The Next Web

New Federal Agency for AI Governance

The Human Control Over AI Act would create a new federal agency with oversight authority over frontier AI developers including OpenAI, Anthropic, Google DeepMind and xAI

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. This agency would administer a licensing system to approve model training and deployment, conduct frontier AI model audits and establish security standards for continuous testing and effective human control

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. Independent auditors would be embedded at every frontier lab and report directly to the agency

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. The agency would set standards covering sandbox testing environments, air gaps that isolate testing environments from the internet, kill switches and controls preventing models from escaping lab settings and roaming on the Internet

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. Additionally, the agency would regulate advanced chips that frontier labs use, including mechanisms to monitor or control their use

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Criminal Penalties and Liability Requirements

The AI safety bill introduces severe legal consequences for AI governance failures. It would criminalize "crimes against humanity" for deploying AI models that result in the destruction of civilian populations

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. Criminal penalties would apply to employees of AI companies who disable safeguards, kill switches, logging or containment systems, or who knowingly deploy an unauthorized system

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. AI companies would be required to hold extensive liability insurance before releasing their models

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. The bill also calls for the administration to pursue enforceable agreements and targeted export controls to deter China and other adversaries from developing dangerous AI systems

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AI Safety Community Drives Legislation

Khanna emphasized that the bill was modeled on conversations with AI safety organizations rather than requests from large AI company executives. "I want this to be a model to give voice to the AI safety community," Khanna stated, adding that these groups "have been unfairly dismissed as science fiction and haven't been taken seriously enough"

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. The legislation draws from discussions with independent nonprofits including Model Evaluation and Threat Research, Machine Intelligence Research Institute and Palisade Research

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. This approach marks a shift toward prioritizing AI safety experts over industry leaders in AI regulation discussions.

Growing Congressional Push for AI Regulation

The Human Control Over AI Act joins other AI safety proposals including the bipartisan FRONTIER Act from Reps. Jay Obernolte and Lori Trahan, which would also place independent auditors in frontier labs and allow the government to shut down models with catastrophic potential

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. However, no House bills are expected to receive a vote until after the midterm election

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. Khanna, the top Democrat on the House Select Committee on China, has also written to DeepSeek, Alibaba and Moonshot AI requesting documents on their work towards superintelligence and recursive self-improvement

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. The timing coincides with broader industry concerns, as Anthropic CEO Dario Amodei recently put the odds of AI wiping out humanity within a decade above 10%

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. President Donald Trump is hosting AI leaders at a White House lunch Tuesday, underscoring the urgency of establishing comprehensive AI governance frameworks

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