Math for AI safety: an invitation for mathematicians

📅 2026-09-14
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🤖 AI Summary
本文呼吁数学家通过逻辑、概率论、代数和分析等数学分支解决AI的可理解性、可控性和合作性问题。
📝 Abstract
Artificial intelligence threatens to outrun human understanding and control. New mathematics is needed to design AI that is legible, steerable, and cooperative with humanity. I organize this invitation by mathematical field, so you can turn straight to your own: logic and game theory for cooperation; probability for agency and world-models; algebra and representation theory for learned features; analysis and geometry for generalization and training dynamics. Each section ends with an open problem that is accessible to a working mathematician with no prior experience in AI safety.
Problem

Research questions and friction points this paper is trying to address.

Artificial Intelligence
Human Control
Mathematics
AI Safety
Cooperation
Innovation

Methods, ideas, or system contributions that make the work stand out.

logic and game theory
probability
algebra and representation theory
analysis and geometry