Qualitative Controversies:Tiarna Lee on the machine behind the method

Sohail speaks to Tiarna Lee to explore the frontier of AI's role in health research.explore the frontier of AI's role in health research. While technology offers innovative ways to approach analysis, it comes with its unique set of challenges. From ethical considerations to methodological accuracy, join us as we dissect the potential and pitfalls of integrating AI in research. We ask, “can you have qualitative health research without the heart and soul?”

Tiarna is a third year PhD student at the School of Biomedical Engineering & Imaging Sciences. Her research focuses on evaluating fairness and biases in AI used for cardiac imaging. In her work, she has found that models trained with imbalanced datasets have a worse performance on underrepresented subjects, often minority ethnicities and females. She is currently aiming to find the sources of these biases so that she can then find a method to address and mitigate them.