When AI Joins the Lab: Reflections on ChatGPT in Research and Graduate Education. An Interview with Professor Timothy Mitchison.

Abstract

This interview with Professor Timothy Mitchison from a leading U.S. medical school explores his evolving use of generative artificial intelligence (AI), particularly ChatGPT, in research and doctoral education. The conversation examines how he incorporates AI into literature searches, hypothesis generation, experimental design, coding support, and laboratory communication, while also noting persistent limitations such as inaccurate references and conceptual errors.

Beyond technical applications, TM reflects on how AI reshapes cognitive effort, writing practices, and the dynamics of graduate supervision. He highlights both the risks of cognitive offloading, where students may bypass deeper engagement with learning, and the potential for AI to support creativity, accelerate routine tasks, and foster collaborative dialogue between supervisors, students, and AI tools. The discussion also addresses broader questions of knowledge creation, mentorship, and the role of AI in shaping higher education. By situating AI adoption within the everyday practices of scientific research and graduate training, this interview offers valuable insights for academics, supervisors, and students navigating the promises and pitfalls of integrating AI into teaching and learning.