It’s simple sums for children or sophisticated models for hedge fund managers. For mathematicians, it is an act of discovery. Many spend years trying to find new mathematical truths or “proofs,” work that can underpin everything from cryptography and computing to finance and engineering.
Now artificial intelligence is taking over some of that exploration, helping solve longstanding problems like the so-called Jacobian conjecture, and the field’s top minds find themselves deeply uncertain about whether that is ultimately good or bad. The answer could go either way, depending on whether mathematicians can quickly establish new standards for dealing with AI. With promising developments on that front already under way, the field could create a valuable blueprint for other forms of knowledge work.
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