Artificial intelligence is already improving public health through cancer screenings and postpartum care, but researchers are raising concerns about this rapidly developing technology. ChatGPT and large language models have the potential to exacerbate misinformation and perpetuate bias — or to combat those trends. Our panel of experts will explore the future of AI and the challenges of integrating machine learning and generative AI into our health care system.
#HarvardChanStudio #AIHealthcare

SPEAKERS
Andy Beam
Assistant Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health; Deputy Editor of NEJM AI

Irene Chen
Assistant Professor in Computational Precision Health and Electrical Engineering and Computer Sciences, UC Berkeley and UCSF

Lucila Ohno-Machado
Deputy Dean for Biomedical Informatics and the Chair of Biomedical Informatics and Data Science, Yale University School of Medicine

Milind Tambe
Gordon McKay Professor of Computer Science and Director of Center for Research on Computation and Society, Harvard University; Principal Scientist and Director, “AI for Social Good” at Google Research

MODERATOR
Carey Goldberg
Science, Health, and Medicine Reporter; Co-Author, The AI Revolution in Medicine: GPT-4 and Beyond

Sharing diverse perspectives on public health. Speakers do not speak for Harvard.

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