Taking control: Policies to address extinction risks from advanced AI
Andrea Miotti

TL;DR
This paper advocates for international policies including a multinational AI oversight body, global compute caps, and safety evaluations to mitigate extinction risks from advanced AI systems.
Contribution
It introduces three novel policy proposals—MAGIC, global compute caps, and safety gating—to effectively address AI-related extinction risks.
Findings
MAGIC would facilitate international AI safety oversight.
Global compute caps could slow dangerous AI development.
Safety evaluations would ensure AI risks stay below critical thresholds.
Abstract
This paper provides policy recommendations to reduce extinction risks from advanced artificial intelligence (AI). First, we briefly provide background information about extinction risks from AI. Second, we argue that voluntary commitments from AI companies would be an inappropriate and insufficient response. Third, we describe three policy proposals that would meaningfully address the threats from advanced AI: (1) establishing a Multinational AGI Consortium to enable democratic oversight of advanced AI (MAGIC), (2) implementing a global cap on the amount of computing power used to train an AI system (global compute cap), and (3) requiring affirmative safety evaluations to ensure that risks are kept below acceptable levels (gating critical experiments). MAGIC would be a secure, safety-focused, internationally-governed institution responsible for reducing risks from advanced AI and…
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Taxonomy
TopicsEthics and Social Impacts of AI
