Panel Discussion: Advances in Artificial Intelligence/Machine Learning to Mitigate Harm

Learn from leaders in the artificial intelligence and machine learning community on current efforts to mitigate potential harm from algorithms to marginalized communities. Panelists discussed strategies to assess, leverage and deploy fairness and transparency assessment to drive equity.
Moderator:
Kameron Matthews, M.D., JD, FAAFP, Chief Health Officer, Cityblock Health
Panelists:
Tina Hernandez-Boussard, M.D., Associate Dean of Research and Associate Professor of Biomedical Informatics, Stanford University
Brian Anderson, M.D., Chief Executive Officer, Coalition for Health AI
Shyam Visweswaran, M.D., PhD. Vice-Chair of Clinical Informatics and the Director of the Center for Clinical Artificial Intelligence
This panel discussion was part of the Doris Duke Foundation and Council of Medical Specialty Societies' (CMSS) announcement of Encoding Equity in Clinical Research & Practice: Rethinking Race in Clinical Algorithms at the National Academy of Medicine on June 21, 2024. This alliance, supported by a $3 million grant to and led by CMSS, aims to drive scientific rigor and health equity by examining the use of race in clinical algorithms.
Visit encodingequity... to learn more. #EncodingEquity #EquityInEquations