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AI for Healthcare Disparities: A Double-edged Sword

This is a past event.

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.

Sponsored by the Department of Health Information Management, School of Health and Rehabilitation Sciences; Pitt Research; and the Center for Bioethics & Health Law

Registration Required - Register here.

Friday, January 21 at 2:00 p.m. to 3:00 p.m.

Virtual Event

AI for Healthcare Disparities: A Double-edged Sword

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.

Sponsored by the Department of Health Information Management, School of Health and Rehabilitation Sciences; Pitt Research; and the Center for Bioethics & Health Law

Registration Required - Register here.

Friday, January 21 at 2:00 p.m. to 3:00 p.m.

Virtual Event

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