#AIMI21 | Session 3: Fairness, Generalizability & Societal Impact |
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2021 AIMI Symposium is a virtual conference presented by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) on August 3, 2021.
Website: https://aimi.stanford.edu Twitter: https://twitter.com/StanfordAIMI #StanfordAIMI #AIMI21 // 00:00 Session Intro Curtis Langlotz (Moderator) - Professor of Radiology and Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford 00:29 Ethical Challenges in Applications of AI to Healthcare David Magnus - Associate Dean for Research, Director, Center for Biomedical Ethics, Thomas A. Raffin Professor of Medicine and Biomedical Ethics Professor of Pediatrics and, by courtesy, of Bioengineering, Stanford 12:55 The F-ai-rest of Them All: Privacy, Data, and Machine Learning for Health Marzyeh Ghassemi - Assistant Professor in Electrical Engineering and Computer Science & Herman L.F. von Helmholtz Career Development Professor in the Institute for Medical Engineering Science at MIT; CIFAR AI Chair, Vector Institute 24:34 AI/ML in Healthcare: Legal and Ethical Issues I. Glenn Cohen - Deputy Dean and James A. Attwood and Leslie Williams Professor of Law, Harvard Law School Faculty Director, Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics, Harvard Law School 38:19 Reading Race: AI Recognizes Patient's Racial Identity in Medical Images Judy Gichoya - Assistant Professor of Radiology, Emory 49:09 Panel Discussion and Audience Q&A |