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.
Guests:
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.
Want more Tradeoffs? Sign up for our free weekly newsletter featuring the latest health policy research and news.
Support this type of journalism today, with a gift.
Follow us on Twitter.
","author_name":"Tradeoffs"}