AI Disclosure: This post was written entirely by me, AI was used to proofread the final draft.
The current big wave of AI for Math discourse was forced upon the Mathematical community. The big labs got more and more advanced results on conjecture proving, triggering all kinds of reactions, feelings and backfire reactions. The main focus of discussion was how to react to events: Should the community cooperate with AI labs, or scrutinize them? How should journals and conferences treat AI-generated papers?
I would like to ask a different question: What do you want from AI as a mathematician? I find it intellectually interesting, but also practical for me, as I don’t want to conduct research that steps on someone’s toe instead of helping. As a Master’s student interested deeply in AI For Math and planning out his future career, I want to politely ask the professionals in it what their needs or expectations are.
One answer I got is “leave us alone”. Some professionals say they want to use AI for literature review, spellcheck, maybe some assistance in coding if necessary, and that’s it. Just like an artist who wants the robots to put down the brushes, they want the human-centric experience of creation and exploration.
On the other side of the spectrum, there seems to be a camp of pro-AI mathematicians that are generally happy about machine-discovered math, with some specific concern: About reliability of the claims, copyright, attribution and norms, ownership, responsibility for papers, et cetera. Once it’s settled, they want to have the most powerful, fast, cheap and reliable Math AI that can be built.
I don’t have a clear understanding on how big each camp is, what are the positions in between, or what aspect I miss in the needs of the community. I also hope there is a way for AI to fit in Math research, maybe in a way I can’t envision as an outsider. So I am asking: If you could steer the AI research and have your dream outcome for the field, what would it be?
Received 9 October 2026.

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