菲尔兹奖得主 Jacob Tsimerman 创立 Mathematical A.I. Safety Institute,拟用数学方法证明 AI 安全

The Decoder:AI News(RSS)·2026-09-11 17:15·21分钟前·Manuel Uth
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加拿大数学家、新科菲尔兹奖得主 Jacob Tsimerman 宣布创立独立研究机构 Mathematical A.I. Safety Institute(MAISI),据《纽约时报》报道,机构位于旧金山湾区,计划 2027 年 1 月启动,招募 10 至 30 名数学家研究 AI 安全。

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菲尔兹奖得主 Jacob Tsimerman 创立 Mathematical A.I. Safety Institute,拟用数学方法证明 AI 安全

2026-09-11 17:15· 21分钟前· Manuel Uth
AI 导读

加拿大数学家、新科菲尔兹奖得主 Jacob Tsimerman 宣布创立独立研究机构 Mathematical A.I. Safety Institute(MAISI),据《纽约时报》报道,机构位于旧金山湾区,计划 2027 年 1 月启动,招募 10 至 30 名数学家研究 AI 安全。

Manuel Uth

Canadian mathematician Jacob Tsimerman, a fresh Fields Medal recipient, has announced the founding of the Mathematical A.I. Safety Institute (MAISI). The independent research institute in the San Francisco Bay Area plans to start work in January 2027 with ten to thirty mathematicians tackling AI safety problems, the New York Times reports. Tsimerman, who is also joining OpenAI's safety team, says the field needs "a much, much higher level of safety standard than we’re currently getting."

With an encryption scheme, you can prove it's unbreakable without trying every possible attack. AI has no such shortcut. Safety only shows up in practice, and according to MAISI, there isn't even a clear definition of what "safe" means, not even in theory.

That's the kind of proof MAISI wants to make possible. The goal is to show that a system acts responsibly and produces correct results, that multiple AI agents working together don't trigger unwanted outcomes, and that systems can withstand vulnerabilities nobody has found yet. One tool could be zero-knowledge proofs, which let a system demonstrate it isn't cheating without exposing the trade secrets of AI labs.

New York Times / MAISI

MAISI

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