Presented By: Department of Learning Health Sciences
LHS Collaboratory
Health Equity Reviews for AI in Health and Medicine
LHS Collaboratory November Session
Speaker:
Kadija Ferryman, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health
In this talk, Professor Ferryman will discuss the merits and challenges of conducting health equity reviews of artificial intelligence (AI) tools used in health and medicine. The talk will examine how interdisciplinary approaches from the social sciences, bioethics and humanities, and computational fields can be involved in the development of concepts, methods, frameworks, and guidelines for understanding and governing digital health tools.
Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.
She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults.
Speaker:
Kadija Ferryman, PhD
Assistant Professor
Johns Hopkins Bloomberg School of Public Health
In this talk, Professor Ferryman will discuss the merits and challenges of conducting health equity reviews of artificial intelligence (AI) tools used in health and medicine. The talk will examine how interdisciplinary approaches from the social sciences, bioethics and humanities, and computational fields can be involved in the development of concepts, methods, frameworks, and guidelines for understanding and governing digital health tools.
Dr. Kadija Ferryman is a cultural anthropologist who studies the social, cultural, and ethical implications of health information technologies. Specifically, her research examines how genomics, digital medical records, artificial intelligence, and other technologies impact racial disparities in health. As a Postdoctoral Scholar at the Data & Society Research Institute in New York, she led the Fairness in Precision Medicine research study, which examines the potential for bias and discrimination in predictive precision medicine.
She earned a BA in Anthropology from Yale University, and a PhD in Anthropology from The New School for Social Research. Before completing her PhD, she was a policy researcher at the Urban Institute where she studied how housing and neighborhoods impact well-being, specifically the effects of public housing redevelopment on children, families, and older adults.
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LivestreamNovember 8, 2022 (Tuesday) 12:00pm
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