The KTH PhD Chapter has established a new AI Functionary position and appointed Mohit Daga to study the implications of artificial intelligence for doctoral education and support the Chapter’s work on this important question.
The Swedish Higher Education Act (Högskolelagen) states:
“The students shall have the right to exert influence over education at the universities. The universities shall work to ensure that the students take an active part in the work to further their education.”
The PhD Chapter anticipates that considerable work on AI and doctoral education will be undertaken at KTH in the coming years. The PhD Chapter Board will likely be called upon to discuss, evaluate, and vote on various proposals and decisions concerning these developments.
The rapid advancement of artificial intelligence, particularly large language models (LLMs), has profound implications for doctoral education. For example, on 6 October 2026, OpenAI published more than 100 AI-generated mathematical manuscripts addressing numerous longstanding open problems. While their significance remains under scientific evaluation, such developments have implications for research in pure mathematics, theoretical computer science, and other related disciplines.
KTH offers several doctoral programs, each with distinct educational and research objectives. Moreover, doctoral education involves numerous stakeholders, both within and outside KTH. Given this diversity and the rapid evolution of AI, understanding its implications for doctoral education requires a broad and systematic examination of different perspectives.
The PhD Chapter’s new AI Functionary will examine the implications of AI for doctoral education, gather perspectives from program managers and relevant stakeholders in research education, and prepare a report for the PhD chapter Board identifying the different aspects of AI’s impact on doctoral education.
The findings of the report are intended to support the PhD Chapter Board in its representative responsibilities to evaluate future proposals from KTH, formulate the PhD chapter’s positions, and make informed recommendations to KTH.



