When
3:30 – 4:30 p.m., Oct. 27, 2026
Where
ENR2, Room S395
Math-Faculty All
Dear colleagues,
On Tuesday 10/27 we would like to discuss the implications of AI in the Math Graduate Program during the Faculty Meeting slot. As the Graduate Committee discusses how the program should respond to AI, this meeting is to gather perspectives from faculty before making policy recommendations. It is clear that policy will be needed eventually, but first we would like to clarify what we value as a community. As a graduate program, our goal is to produce mathematicians, and at this moment in time it is important to discuss what this means.
Some recent articles/recommendations on this subject can be found here to provide some context:
https://cmsa.fas.harvard.edu/aimathphd_summit/
https://cmsa.fas.harvard.edu/aimathphd_summit/
At the faculty meeting, we would like to discuss views on the most important parts of graduate education and what roles we see for different uses of AI. Here are some questions to frame the discussion:
What skills and attitudes do we want our graduates to develop in the age of AI?
For example:
- Mathematical writing.
- Solving complex quantitative problems using appropriate tools, including AI.
- Summarizing and explaining solutions to non-experts.
- Giving informed judgments about whether proposed solutions are correct.
What are the boundaries of acceptable/nonacceptable use of AI in the graduate program, especially for dissertation research.
For example, which of the following are appropriate uses of AI: creating diagrams, writing code, giving suggestions on already written text, editing prose, organizing sections, writing proofs, writing whole sections of an article/dissertation.
Looking forward to the discussion.
Dave, on behalf of the Graduate Committee