GenAI at the dissertation stage
GenAI in Academic Research: Tools, Ethics, and Good Practice—a 4-part workshop series for graduate students
Graduate students from both Memorial University and Athabasca University are invited to participate in an updated multi-session workshop series that helps graduate researchers thoughtfully integrate GenAI into their work.
Explore how GenAI can support different stages of the research process, from idea generation, literature review, to data analysis and writing, and experiment with tools for working with scholarly literature and data. Participants are invited to reflect on professional responsibilities, emerging institutional expectations, and the implications of GenAI use for students, supervisors, and reviewers.
The workshop sessions are hosted by AU's Faculty of Graduate Studies and will be facilitated in Microsoft Teams by Dr. Eliana El Khoury, AU Faculty of Humanities & Social Sciences.
Session 4: GenAI at the dissertation stage
In this final session, we will focus on AI use in high-stakes graduate work such as theses and dissertations. We will review emerging institutional expectations and policies, we will discuss how GenAI use should be disclosed and bounded in dissertation research, and we will consider the implications for students, supervisors, and examiners. Together, we will articulate what responsible GenAI use looks like at the dissertation stage in our own disciplines.
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