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International Agreements on AI Safety: Review and Recommendations for a Conditional AI Safety Treaty
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The malicious use or malfunction of advanced general-purpose AI (GPAI) poses risks that, according to leading experts, could lead to the 'marginalisation or extinction of humanity.' To address these risks, there are an increasing number of proposals for international agreements on AI safety. In this paper, we review recent (2023-) proposals, identifying areas of consensus and disagreement, and drawing on related literature to assess their feasibility. We focus our discussion on risk thresholds, regulations, types of international agreement and five related processes: building scientific consensus, standardisation, auditing, verification and incentivisation. Based on this review, we propose a treaty establishing a compute threshold above which development requires rigorous oversight. This treaty would mandate complementary audits of models, information security and governance practices, overseen by an international network of AI Safety Institutes (AISIs) with authority to pause development if risks are unacceptable. Our approach combines immediately implementable measures with a flexible structure that can adapt to ongoing research.
Forward citations
Cited by 4 Pith papers
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How to Catch a GPU: A Taxonomy of Verification and Enforcement Mechanisms for International AI Agreements
Verification of international AI agreements will fail first at detecting hidden compute facilities, around the 10,000-H100-equivalent scale, before other enforcement mechanisms break.
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AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions
A MIRI governance agenda argues for an internationally coordinated halt to dangerous AI development and catalogs around 400 research questions across four strategic scenarios.
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Technical Requirements for Halting Dangerous AI Activities
A taxonomy of compute-centric technical interventions, graded by readiness and mapped to five AI governance plans, argues that halting dangerous AI requires substantial control over AI compute.
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Toward a Global Regime for Compute Governance: Building the Pause Button
The paper argues that a global, enforceable compute pause is achievable through a layered framework of hardware controls, supply chain tracking, and regulation.
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