Mechanisms of Trust in Medical AI (versus Doctors) Georgetown University, Department of Psychology — Graduated July 2024
My dissertation examined why people trust AI recommendations differently than physician recommendations, even when those recommendations are identical. Across six preregistered behavioral experiments with more than 3,000 participants, I identified the psychological mechanisms underlying trust and distrust in medical AI — showing that people attribute intuition, experiential reasoning, and mind to physicians but perceive AI as relying purely on statistical analysis. These attributions shape trust, adherence, and reliance in ways that have direct implications for how clinical AI systems should be designed and deployed.
A recording of the dissertation defense is available below.
Matthew Leitao's Dissertation Defense - Trust in AI in Health Care
This is a recording of Matthew Leitao's dissertation defense. This video was recorded on July 9th, 2024. The topic is the mechanisms driving trust and distrust in AI in healthcare and how that compares to doctors.
This is a recording of Matthew Leitao's dissertation defense. This video was recorded on July 9th, 2024. The topic is the mechanisms driving trust and distrust in AI in healthcare and how that compares to doctors.