Join the Duke-Margolis Center for Health Policy for a virtual public meeting on bias in artificial intelligence in healthcare. Speakers will discuss the ways in which bias is introduced throughout the software product lifecycle as well as promising practices around testing for and preventing biased performance or worsening health disparities. Speakers will also discuss whether and how artificial intelligence can help to reduce bias from human decision-making and address injustice in health care.

Featured speakers are a diverse array of computer scientists, bioethicists, statisticians, and anthropologists including:

• Kadija Ferryman, Johns Hopkins University
• Benjamin Goldstein, Duke University
• Eric Henry, King & Spalding LLP
• Ziad Obermeyer, University of California, Berkeley
• Pilar Ossorio, University of Wisconsin, Madison
• Art Papier, VisualDx
• Emma Pierson, Cornell University
• Jana Schaich Borg, Duke University
• Sonoo Thadaney Israni, Stanford University

Support for this project was provided by The Pew Charitable Trusts.

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