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Who Gets Read? Attention, AI, and Mathematical Practices

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OOEW11 - AI for Maths and Open Science

Mathematics produces far more results than any individual mathematician can read or verify. As a result, research communities rely on structured patterns of attention: what gets circulated, discussed, cited, and built upon. Today these patterns are increasingly shaped by digital infrastructures such as preprint platforms, search tools, and AI-based discovery systems. In this talk I examine how such systems influence the allocation of attention in mathematical research. Drawing on philosophical work on attention, I argue that digital tools reshape which problems and results receive sustained attention, thereby affecting how mathematical knowledge develops and which lines of work come to define a field.

This talk is part of the Isaac Newton Institute Seminar Series series.

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