Session Abstract – PMWC 2020 Silicon Valley
Session Synopsis: Big data analytics, machine learning, and AI are fast growing emerging technologies in healthcare that have ethical and privacy implications. This session will dive into new ethical challenges, including privacy expectations, as well as the strategies to foster the responsible and safe use of these technologies. Proposed ethical guidelines, initiatives and new resources will be discussed.
Session Chair Profile
Ed.D., M.S., Assistant Professor, UC San Diego
Biography
Dr. Camille Nebeker studies the ethical, legal and social implications of emerging technologies (e.g., pervasive sensors, predictive analytics) used in research and healthcare with a focus on informed consent, risk assessment and data management. She leads the Research Center for Optimal Digital Ethics (ReCODE.health), which provides evidence-based resources for the digital health/medicine community. Nebeker earned her doctorate in education and is faculty in the Department of Family Medicine & Public Health, School of Medicine at UC San Diego. She is affiliated with the UC San Diego Design Lab, the Center for Healthy Aging, the Institute for Practical Ethics and the Center for Wireless and Populations Health Systems. Dr. Nebeker’s research has received continuous support from government, foundation and industry sources since 2002.
