The promise and perils of AI in health care

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

*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

*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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