mlsanityData to 14 Oct 2026

Technical Requirements for Halting Dangerous AI Activities

arXiv 2507.09801 ↗First posted 13 Jul 2025cs.AI cs.CYcited by 2

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Abstract (arXiv)

The rapid development of AI systems poses unprecedented risks, including loss of control, misuse, geopolitical instability, and concentration of power. To navigate these risks and avoid worst-case outcomes, governments may proactively establish the capability for a coordinated halt on dangerous AI development and deployment. In this paper, we outline key technical interventions that could allow for a coordinated halt on dangerous AI activities. We discuss how these interventions may contribute to restricting various dangerous AI activities, and show how these interventions can form the technical foundation for potential AI governance plans.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 19 of its 38 references that are in the map. First posted on arXiv 13 Jul 2025.

Builds on

19 of 38 references.

References · 19

  1. 2023Model evaluation for extreme riskscited by 177
  2. 2024Tamper-Resistant Safeguards for Open-Weight LLMscited by 138
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  4. 2024Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applicationscited by 59
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  12. 2025AI Behind Closed Doors: a Primer on The Governance of Internal Deploymentcited by 8
7 more
  1. 2025Superintelligence Strategy: Expert Versioncited by 7
  2. 2024Locking Machine Learning Models into Hardwarecited by 6
  3. 2025International Agreements on AI Safety: Review and Recommendations for a Conditional AI Safety Treatycited by 4
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  5. 2023Keep the Future Human: Why and How We Should Close the Gates to AGI and Superintelligence, and What We Should Build Insteadcited by 3
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  7. 2024What Information Should Be Shared with Whom "Before and During Training"?cited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.