As usual this is US self centered.
How do you handle this type of PhD in a country where nor the student nor the university can afford AI subscriptions?
I think that AI companies should pay for universal access to rheir models. And I think that the math community should request this unanimously.
This is an important report! To facilitate discussion, I am pasting below the main recommendations:
1. Programs should add new training opportunities to teach skills that are becoming increasingly relevant. These may include: collaboration, formulating questions, interdisciplinary work, use of AI tools, and formalization.
2. Skill in communication to both expert and broad audiences should be part of the training in a PhD program and an explicit degree expectation.
3. While homework can provide a useful way for students to learn course material, assessment should be based on in-person written or oral assessments.
4. Programs should provide access to AI tools for all graduate students, with use never mandatory and methods subject to the standards of the advisor and department.
5. Advisors should hold regular detailed discussions with their students about expectations for AI use.
6. Three ethical rules: (i) maintain responsibility for the correctness and understanding of the mathematics that appears under your name, (ii) always disclose AI use, and (iii)obtain explicit agreement from all involved parties before entering material into an AI
7. A mathematics PhD program should require rigorous in-person assessment of research plans and progress by multiple faculty at least annually, including meaningful feedback for the student.
8. A thesis should be an original scholarly contribution. This should be understood broadly; for instance, the thesis need not record the first proof of a statement.
9. A PhD should not be awarded primarily on the basis of the text of the dissertation. The text should serve as the foundation for a rigorous thesis defense that requires complete mastery of the thesis content.