Artificial intelligence is increasingly used in medical decision-making, raising important questions about public trust. This project examines how trust in AI-supported medical decisions varies across countries and how cultural values shape perceptions of risk, responsibility, and acceptance under different forms of human–AI involvement. Participants will complete an online vignette-based survey presenting a medical diagnosis made by either a clinician alone, a clinician supported by AI, or an AI system with limited human oversight. These scenarios reflect ongoing debates about AI autonomy in healthcare. Drawing on established psychological frameworks of trust, perceived risk, and acceptability, the study tests whether these mechanisms operate similarly across cultural contexts.

Supervisor:
Anna Louise Todsen
University of Oxford, United Kingdom

Anna Louise Todsen is a PhD student in Experimental Psychology at the University of Oxford. Her research examines human–AI decision-making in healthcare, integrating cognitive and systems-level perspectives to inform the development and implementation of clinical AI. She holds an MSc in Policy and Intervention Evaluation and has worked at RAND Europe translating research evidence into health policy.