🤖 AI Summary
Rapidly evolving AI systems pose systemic risks—including loss of control, misuse, geopolitical instability, and concentration of power—necessitating coordinated global governance.
Method: This paper proposes a multilaterally coordinated AI activity pause mechanism, introducing four core technical modules: interruptible AI architecture design, deployment-level control protocols, full-lifecycle model tracking and certification, and a decentralized monitoring network.
Contribution/Results: Moving beyond policy-centric governance, the framework establishes a verifiable, executable, and fault-tolerant technical foundation resilient to single-point failure. It enables sovereign states to jointly initiate, sustain, and reverse high-risk AI development and deployment at critical thresholds—ensuring controllability, interoperability, and reversibility. By bridging normative principles with enforceable technical mechanisms, this work advances AI safety governance from aspirational guidelines toward operational feasibility, providing a scalable infrastructure for international crisis response and responsible innovation.
📝 Abstract
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.