UnBIASED: Predicting Implicit Bias in Patient-Provider Interaction

Featured Speaker: Professor Nadir Weibel

Healthcare bias — based on patients’ race, gender, and sexual orientation — leads to health disparities and a lack of appropriate treatment. New approaches to address hidden healthcare bias by promoting more effective patient-doctor communication have been shown to be effective in improving quality of care. This lecture will discuss the UnBIASED tool, designed to make hidden bias visible and addressable by detecting social signals from patient-provider conversations. This work is based on machine learning and Human-Centered Design to enable the development of effective clinical interventions in the real world.

Presenter Biography

Nadir Weibel is an Associate Professor in the Department of Computer Science and Engineering at UC San Diego and the Associate Faculty Director of the UCSD Design Lab. He directs the Human-centered eXtended Intelligence (HXI) Lab, which is situated at the intersection of computer science, design, and health sciences, and which studies Human-Computer Interaction, Artificial Intelligence, and eXtended Reality.

Coordinator: Jeanne Ferrante