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This article calls on mathematicians to develop new theoretical frameworks essential for ensuring AI systems remain legible, steerable, and cooperative with humanity. It outlines specific mathematical domains—such as logic, game theory, and geometry—that are critical for addressing the risks of advanced AI outrunning human control. The piece serves as a direct invitation for researchers in pure mathematics to contribute foundational work to the field of AI safety without requiring prior domain expertise.
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Math for AI safety: an invitation for mathematicians

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arXiv:2609.15289v1 Announce Type: cross 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.

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.

History and Overview (math.HO); Artificial Intelligence (cs.AI)

I.2.0; I.2.6; I.2.11; F.4.1; G.3; G.1.6; K.4.0

arXiv:2609.15289 [math.HO]

(or arXiv:2609.15289v1 [math.HO] for this version)

https://doi.org/10.48550/arXiv.2609.15289 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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