Rooting Out Racial Bias in Health Care AI, Part 2

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 Part 2 of our special series on racial bias in health care AI, we dig into what the Biden administration is doing to keep biased algorithms from getting to the bedside.


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

Minerva Tantoco, Chief AI Officer, New York University McSilver Institute for Poverty, Policy and Research

Carmel Shachar, JD, MPH, Executive Director, Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School

Kathryn Marchesini, JD, Chief Privacy Officer, Office of the National Coordinator for Health Information Technology

Melanie Fontes Rainer, JD, Director, HHS Office for Civil Rights

Learn more and read a full transcript on our website.

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