Exploring Ethics: Protecting Privacy While Sharing Biomedical Data for Machine Learning
Overview:
Even though “de-identified,” patient data can still sometimes be revealed by attackers. The focus of this program will include technical and policy measures that might better protect the privacy of electronic health records (EHRs) when they are used for machine learning. The approach to be discussed includes multivariate models computed in a decentralized fashion for a large clinical data research network, and how to collaborate in developing sound methods to protect patient privacy. Sharing according to patient instructions is one important way to conduct responsible machine learning. This presentation will include results from a recent study on patient-controlled electronic healthcare data sharing.
Speaker:
Lucila Ohno- Machado , MD, MBA, PhD., Professor of Medicine. Chair, UC San Diego Health, Department of Biomedical Informatics, and Associate Dean for Informatics and Technology.
Location: Online Event
Date & Time: Wednesday, October 7, 2020, 5-7 PM
Event Website: https://www.ethicscenter.net/oct2020/
Registration Link: https://ethicscenteroct2020.eventbrite.com/
Exploring Ethics: Protecting Privacy While Sharing Biomedical Data for Machine Learning
Other learning opportunities from this partner
Exploring Ethics
Center for Ethics in Science and Technology
Exploring Ethics is a series of lectures and discussions designed to bring the public and scientists together.
Online/Hybrid
Ethical Boundaries of Research with Human Embryos
Center for Ethics in Science and Technology
Join us at the Fleet Science Center, to learn more about the ethical considerations surrounding stem cell technology.
Evening
My Brain Made Me Buy It? The Neuroethics of Advertising
Center for Ethics in Science and Technology
Discuss the consumer neuroscience industry and the ethical concerns surrounding attempts to predict consumer behavior
Evening
Shaping Our Dynamic Microbiomes For Lifelong Health
Center for Ethics in Science and Technology
Learn the potential benefits and risks from crowdfunded citizen-science projects like the American Gut Project
Evening