Technical Requirements for Halting Dangerous AI Activities
Peter Barnett, Aaron Scher, David Abecassis

TL;DR
This paper discusses technical strategies for governments to implement coordinated halts on dangerous AI activities to mitigate risks like loss of control, misuse, and geopolitical instability.
Contribution
It outlines key technical interventions that could enable a coordinated halt on dangerous AI development and deployment, forming a foundation for AI governance.
Findings
Identifies technical interventions for halting dangerous AI activities
Explores how interventions can restrict risky AI behaviors
Provides a basis for future AI governance plans
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.
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Taxonomy
TopicsAdversarial Robustness in Machine Learning
