Generative AI is becoming an established part of doctoral education. Some supervisors feel uncertain about the development, others already use AI but lack common principles and clear supervision frameworks. This workshop is aimed at both groups.
The workshop treats generative AI as a thinking partner in the research process, not as a substitute for academic writing. The focus is on how AI can support idea development, conceptual clarity and critical thinking, while the academic responsibility for theory, method and ethics remains clearly human.
You will get an overview of different types of generative AI applications in research contexts and how their different capabilities affect reliability, risk and appropriate supervision. Prompting is introduced as a form of disciplined academic questioning.
The workshop provides supervisors with insight and tools to work more structured, transparent and consistent with generative AI in doctoral education, while maintaining research quality and academic integrity.
You can register here:
Registration for the faculty's research supervisor day on March 18th 2026
This workshop is led by Satish Strömberg.
