Fei Wang, PhD
Associate Professor of Health Informatics
Weill Cornell Medicine, Cornell University
Abstract: Artificial intelligence has emerged as a promising technology in healthcare. Because AI seems to rely more on data than on human judgment, it holds the promise of reducing the influence of subjective bias and helping to address healthcare disparities. Due to the fragmented nature of the healthcare system and various issues affecting health data collection, AI can nevertheless introduce implicit algorithmic bias and worsen healthcare disparities. Thus, it is a double-edged sword.
View online here.
Sponsored by the Department of Health Information Management, School of Health and Rehabilitation Sciences; Pitt Research; and the Center for Bioethics & Health Law
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