Summary: AI Governance to Avoid Extinction

· Source: Machine Intelligence Research Institute · Field: Government & Public Sector — Public Policy & Governance, International Relations & Diplomacy, Regulatory & Compliance · Depth: Intermediate, long

Summary

A May 2025 research paper by MIRI's Technical Governance Team, "AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions," analyzes four geopolitical responses to advanced AI development, concluding that only one trajectory avoids unacceptably high catastrophic harm. The paper describes four scenarios: "Off Switch and Halt," "US National Project," "Light-Touch," and "Threat of Sabotage." The authors advocate for the "Off Switch and Halt" scenario, which involves international collaboration to develop the technical, legal, and institutional infrastructure for monitoring and restricting AI, potentially leading to a long-term moratorium on frontier AI development. This approach aims to prevent catastrophic outcomes like loss of control, misuse, war, and authoritarian lock-in, which are deemed highly probable under the other three trajectories.

Key takeaway

For AI Scientists developing frontier models, the analysis suggests that current trajectories are too dangerous. You should prioritize research into robust alignment and control mechanisms, while advocating for the development of an international "off switch" infrastructure. This infrastructure would enable a potential global halt to AI development, providing crucial time to solve safety issues before deploying potentially catastrophic systems.

Key insights

Only a global "off switch" and halt to frontier AI development can prevent catastrophic risks.

Principles

Method

Implement an "off switch" via technical, legal, and institutional infrastructure to monitor and restrict AI, enabling a global halt to frontier AI development until safety issues are resolved.

In practice

Topics

Best for: AI Scientist, AI Ethicist, Policy Maker, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Intelligence Research Institute.