What happens when suspicion of AI use creeps into the marking process? In this episode, Daisy Bao reflects on their first-hand experience of assessing student work where AI may have been involved. We explore the ethical tensions, the emotional weight of navigating suspicion, and the role of policy—or lack thereof—in supporting educators. This candid conversation shines a light on how trust, fairness, and academic integrity are being redefined in the era of generative AI.

Daisy Bao is a PhD researcher in Higher Education at the University of Edinburgh, exploring student partnerships and how equity, diversity, and inclusion can shape fairer universities. Before starting her PhD, she worked as a higher education researcher at the Municipal Teacher Professional Education Centre and served on the committee for the municipal supervisor training scheme. She’s passionate about building learning environments where students and staff can thrive together.