Early career researcher responses to AI in math

@misc{brandenberger2026early,
  title = {{Early career researcher responses to AI in math}},
  author = {Anna Brandenberger and Hanna Mularczyk and Dora Woodruff},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.40584},
  eprint = {2610.40584},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.40584},
}

TY  - UNPB
TI  - Early career researcher responses to AI in math
AU  - Anna Brandenberger
AU  - Hanna Mularczyk
AU  - Dora Woodruff
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2610.40584
UR  - https://arxiv.org/abs/2610.40584
AB  - We've heard a lot about AI in math from Fields medalists, AI labs, and established professors. However, the personal stakes are highest for early career researchers. Hoping to provide a platform for graduate students and postdocs to voice their opinions, concerns, and experiences, we wrote and distributed a survey on AI in math. In this article, we share the responses to our survey. All responses are anonymous, and respondents came from almost $60$ institutions and at least $5$ countries. Our survey included both multiple choice questions and more open-ended free response questions. If you are a senior mathematician or university administrator reading these survey results, our goal is for you to understand the concerns of the younger generations and use your authority to take action accordingly. If you are an early career mathematician reading these survey results, we hope you find comfort in the knowledge that your experiences are shared by many others. If you are not a mathematician, we hope you come away from this article with a deeper understanding of the goals, values, and concerns of the community.
ER  -