Rooting Out Racial Bias in Health Care AI, Part 1
There’s growing excitement that artificial intelligence can make health care better by speeding up care, improving diagnoses and easing the burden on a burned out workforce. But there are also concerns that these powerful new tools will perpetuate biases and inequities long baked into our health care system.
In the first of two back-to-back episodes on racial bias in health care AI, we explore the challenge of diagnosing bias in AI and what one health system is trying to do about it.
Emily Sterrett, MD, Associate Professor of Pediatrics, Director of Improvement Science, Duke University School of Medicine Department of Pediatrics
Mark Sendak, MD, MPP, Population Health & Data Science Lead, Duke Institute for Health Innovation
Ganga Moorthy, MD, Global Health Fellow, Duke Pediatric Infectious Disease Program
Paige Nong, PhD Candidate, University of Michigan School of Public Health
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