Artificial intelligence tools are increasingly prevalent in academia and industry. I believe in being transparent about when and how I use these tools. The guidelines below govern and describe my own personal use.

Writing

I am strongly opposed to using AI for writing in professional contexts. This includes research papers, emails, cover letters, blog posts, and any other writing that represents my ideas or voice. Writing is thinking; outsourcing writing to AI undermines the intellectual work I care about and fundamentally devalues my personal skill set.

Coding

I use AI tools for software tasks where the cognitive work has already been done and I am using AI primarily as a productivity tool, not a thinking tool. Acceptable uses include:

  • Writing documentation and comments
  • Code refactoring and generalization
  • Translating code between programming languages
  • Code explanation and review
  • Generating plotting and visualization code
  • Deploying agents to monitor long-running models or experiments
  • Developing my personal website
  • Organizing or increasing reproducibility of analysis code

I do not use AI to write publication ready statistical models, research analysis code, or novel algorithms. The intellectual work of developing and implementing methods is central to my research.

Learning

I use AI minimally for learning. I prefer struggling through difficult material! the struggle is where deep understanding comes from. I may occasionally use AI to clarify a specific confusing point, but I avoid using it as a primary learning tool or shortcut.


This policy reflects my personal values around intellectual integrity and the importance of doing one's own thinking. It is not a judgment of others' choices but rather it is a commitment to my own work.