38 min listen
CRISPR Gene Editing, Embryo Modification & Mind Reading Technologies with Stanford Law Ethicist Hank Greely
FromMIND & MACHINE: Science & Tech of Maximizing Human Capability
CRISPR Gene Editing, Embryo Modification & Mind Reading Technologies with Stanford Law Ethicist Hank Greely
FromMIND & MACHINE: Science & Tech of Maximizing Human Capability
ratings:
Length:
59 minutes
Released:
Oct 24, 2019
Format:
Podcast episode
Description
Today we explore CRISPR and gene editing, embryo selection vs embryo editing, parental vs societal needs, emerging mind-reading technologies, and the ethics surrounding all of these issues. August Bradley's guest is Hank Greely, a Stanford Law School professor specializing in the ethical, legal, and social implications of new biomedical technologies, particularly those related to genetics and neuroscience. Hank frequently serves as an advisor on policy issues — he's the chair of California’s Human Stem Cell Research Advisory Committee, a member of the Advisory Council on the NIH’s National Institute for General Medical Sciences, a member of the Committee on Science, Technology, and Law of the National Academies, and a member of the Neuroscience Forum at the Institute of Medicine. He chairs the steering committee for the Stanford Center for Biomedical Ethics and directs both the Stanford law school’s Center for Law and the Biosciences, and the Stanford Program in Neuroscience and Society. His book "The End of Sex and the Future of Human Reproduction" gives us a look at the future of making babies through new technologies. Podcast Audio version at: http://mindandmachine.libsyn.com More on Hank Greely at: https://law.stanford.edu/directory/henry-t-greely/ https://profiles.stanford.edu/henry-greely Twitter: https://twitter.com/hankgreelylsju __________ More at: https://www.MindAndMachine.io
Released:
Oct 24, 2019
Format:
Podcast episode
Titles in the series (68)
Game World Simulations & Modeling Reality to Shape our Future: Exploring how gaming models can replicate real world scenarios, and what we can learn from increasingly complex simulations. by MIND & MACHINE: Science & Tech of Maximizing Human Capability