[BK21 x ERC Seminar] Prof. Jenna Wiens, Univ. of Michigan, 10월 4일(수) 오후 2시
October 1, 2023
일시: 2023. 10. 4.(수) 오후 2:00 – 3:00
장소: 서울대학교 43-2동 B102호
Speaker: Prof. Jenna Wiens, University of Michigan
Title: “White Coat, Black Box – Navigating Pitfalls in Using AI to Augment Diagnostic Decision Making”
Abstract:
AI tools designed to aid clinicians in complex diagnostic decisions have the potential to enhance treatment selection and consequently improve patient outcomes. Despite their promise, simply applying existing AI approaches carries a significant risk of inadvertently perpetuating or even exacerbating biases present in clinical care. In this talk, I will describe our work in developing AI systems to diagnose common causes of acute respiratory failure (i.e., pneumonia, heart failure and/or chronic obstructive pulmonary disease), highlighting challenges and presenting potential strategies to mitigate the risk of these systems replicating harmful biases.
Speaker Bio:
Jenna Wiens is an Associate Professor of Computer Science and Engineering (CSE), Associate Director of the Artificial Intelligence Lab, and co-Director of Precision Health at the University of Michigan in Ann Arbor. Her primary research interests lie at the intersection of machine learning and healthcare. Wiens received her PhD from MIT in 2014, received an NSF CAREER award in 2016, was named to the MIT Tech Review’s list of Innovators Under 35 in 2017, and more recently was awarded a Sloan Research Fellowship in Computer Science.