S. 4762 Senate Bill 119th Congress

Generative AI Terrorism Risk Assessment Act (S.4762): assessing the terrorism risk posed by generative AI

U.S. Senate Latest update Jun 11, 2026

S.4762, the "Generative AI Terrorism Risk Assessment Act," is a Senate bill that appears aimed at assessing the terrorism risk posed by generative AI. The sponsor is Sen. Rick Scott (R-FL). It was introduced on June 11, 2026, and referred to the Committee on Homeland Security and Governmental Affairs.

Bill overview (primary data)

  • Bill numberS. 4762
  • TypeSenate Bill
  • Congress119th Congress
  • Latest actionRead twice and referred to the Committee on Homeland Security and Governmental Affairs.(2026-06-11)

Key points

  • A Senate bill (S.4762) that appears aimed at assessing the terrorism risk posed by generative AI.
  • Backdrop: generative AI is noted as potentially misusable for assisting attack planning, dangerous-materials information, mass disinformation and propaganda, and impersonation (general context).
  • Systematically grasping that risk appears to be the aim, from a security standpoint.
  • Sponsor Sen. Rick Scott (R-FL); introduced June 11, 2026, referred to Homeland Security and Governmental Affairs.
  • Which agency assesses what and how are outside this summary; no firm conclusions are drawn.

Generative AI is a powerful tool that can readily produce text, images, audio, and code. Its power benefits society, but in the hands of malicious actors it also carries danger that could aid terrorism or violence: assisting attack planning, lowering the barrier to knowledge about dangerous materials or weapons, mass-producing disinformation and propaganda, and impersonating targets.

Such risk must first be accurately assessed before priorities for countermeasures can be set.

S.4762, the Generative AI Terrorism Risk Assessment Act, is a Senate bill that seeks to address this. As its name indicates, it appears aimed at assessing the terrorism risk posed by generative AI. The sponsor is Sen. Rick Scott (R-FL); it was introduced on June 11, 2026, and referred to the Committee on Homeland Security and Governmental Affairs.

Referral to the committee overseeing homeland security supports the bill security character. Which agency would assess what, and how the risk would be evaluated and reported, are provision details beyond the information here, so no firm conclusions are drawn.

The security risks of a new technology can be misjudged by both underestimation and overestimation. For a technology like generative AI that advances rapidly and is broadly dual-use, a framework to assess risk on an ongoing basis is especially valuable. At the same time, a balance that does not impede legitimate research and use is at stake.

This bill can be understood as one of the U.S. moves to face the downside potential of generative AI from a security angle. The facts to hold onto are the bill purpose (assessing the terrorism risk of generative AI) and its current procedural stage (referred to the Homeland Security committee).

Why it matters

For businesses that develop and provide generative AI, requirements around misuse safeguards and cooperation with risk assessment could strengthen in future from a security standpoint. Because scope and method depend on the text, and the balance with legitimate research and use is a focus, providers of foundation models and APIs have reason to watch the deliberations (this summary organizes purpose and procedural stage).

FAQ

How could generative AI pose a terrorism risk?
It is generally noted as potentially misusable for assisting attack planning, lowering the barrier to information about dangerous materials or weapons, mass-producing disinformation and propaganda, and impersonation. This bill appears aimed at assessing that risk.
Has the bill become law?
No. It was introduced on June 11, 2026, and referred to the Committee on Homeland Security and Governmental Affairs. Bills change in substance and status while under deliberation.

Sources (primary)

Source: Congress.gov (Library of Congress; U.S. legislative materials, public domain). Links go to the official site.

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