17756: Human-AI Medical Decision-Making Under Uncertainty

Monday, July 28, 2025

15:30 - 17:00 CEST (GMT+2)

Location: Bella Center: Hall A- A1-m9

Session Type: Symposium (panel)
Orientation: Practice,Research
Shareable link: https://cdmcd.co/QGWwg8

Organizer(s)

PC

Panos Constantinides

Alliance Manchester Business School, University of Manchester, United Kingdom
MR

Mohammad Hosein Rezazade Mehrizi

Vrije Universiteit Amsterdam, Netherlands

Panelist(s)

LD

Luciana D'Adderio

U. of Edinburgh, Scotland
NL

Natalia Levina

New York U., United States
AE

Anna Essén

Stockholm University, Sweden
KE

Kasper Elmholdt

Aalborg U., Denmark
BS

Bryan Spencer

University of Alberta, Canada

AI-based decision support systems are becoming increasingly common in healthcare, promising improved accuracy and efficiency in diagnosis, treatment, and prediction. At the same time, due to the high-stakes and highly regulated context of medical decisions, uncertainty is neither an exception, nor a mere individual decision characteristic. Rather, uncertainty is a continuously constructed and enacted phenomenon by both focal medical professionals and the array of actors and technologies involved in healthcare tasks. The purpose of this panel symposium is to engage a group of panelists in a formal, moderated, interactive discussion on how uncertainty is dealt with by (a) medical doctors and healthcare professionals, (b) AI systems, and (c) human-AI ensembles. We would like to stimulate discussions around the changing nature of medical decision-making revolving around the new types of uncertainty emerging in the interactions between human and AI technologies. We would also like to examine the consequences of such interactions for the way medical decision making is enacted and organized.