‘Like a conversation with a fellow mathematician over coffee’: How AI is reshaping maths research, careers

The application of artificial intelligence (AI) is reshaping the landscape of mathematical research and careers. Experts warn, however, that its growing role raises questions about how students learn to think independently, what constitutes meaningful research, and which skills future mathematicians will need to acquire. Kaneenika Sinha, an Associate Professor of Mathematics at IISER Pune, uses AI to generate research questions, create examples, and brainstorm ideas.

She compares interacting with a language model to chatting with an enthusiastic colleague over coffee. Sinha believes students can use AI as a learning aid and sounding board, especially in a country where educational infrastructure gaps exist. She advises students not to rely on AI for thinking, cognition, and writing. The potential of AI as a research tool was highlighted by OpenAI's October 6 release of 722 AI-generated mathematical preprints, which sparked discussions among researchers.

While some preprints were withdrawn, the community is grappling with the implications of this surge in AI-generated mathematical results. The preprints cover 372 families of results, with some manuscripts withdrawn following evaluation. Mathematicians must assess not only the correctness of individual results but also how AI-generated findings connect different mathematical fields and contribute new insights.

The volume of AI-generated results makes this assessment particularly important. Sinha acknowledges that the full impact of AI on mathematical research remains uncertain, but emphasizes the need for the community to explore how to harness AI's capabilities to advance the field.