近五千名数学家（包括二十五位菲尔茨奖得主）签署了名为《AI在数学中的严重错位》的声明，对人工智能在数学研究中的作用提出了关切1。声明认为，尽管AI能够解决复杂问题，但这些解法绕过了概念理解这一数学研究的根本目标1。签署者指出，大量通过AI生成的"真假"数学陈述可能摧毁而非促进新思想的产生1。
分析指出，数学学科包含两个不同维度1：一是"解谜"，即直接解决具体问题，这类工作具有高度的可见性；二是"观念生成"，即创造新的数学概念，虽然可见度较低，但更为根本性1。AI在破坏支持观念生成的传统机制，它能够通过"困难方式"解决难题，但在这一过程中并不产生直观的新想法1。这使得数学学科面临丧失传统成就认可方式的风险。
针对这一困境，有建议指出可以参考国际象棋和电子游戏速通等领域的先例1。在这些领域中，AI已经超越了人类能力，但人类竞争仍保持着独立的价值体系并得以延续1。
Nearly five thousand mathematicians, including twenty-five Fields Medal recipients, have signed a statement titled "AI's Serious Misalignment in Mathematics" expressing concerns about artificial intelligence's impact on their field 1. The signatories argue that while AI can solve difficult problems, these solutions bypass conceptual understanding—the true objective of mathematics 1. According to the statement's core argument, problem-solving is merely a tool employed by researchers and agents, whereas the genuine goal lies in generating insights and creating new concepts 1.
The mathematicians contend that AI threatens the traditional mechanisms supporting conceptual generation 1. The technology can resolve complex problems through computational force without producing intuitive new ideas, undermining the foundations of mathematical progress 1. The analysis distinguishes between two types of mathematics: puzzle-solving, which directly tackles problems with high visibility, and concept generation, which creates novel frameworks with lower visibility but greater fundamental importance 1. This disruption risks stripping the discipline of its established system for recognizing achievement and validating professional accomplishment 1. The analysis draws parallels to chess and video game speedrunning communities, which developed independent value systems for human competition after AI surpassed human capabilities in those domains, suggesting mathematics could pursue a similar path 1.
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