Leading ethicist/philosopher Jonathan D. Moreno makes a welcome return to Brainland to discuss his recently published and compelling book 'ABSOLUTELY ESSENTIAL: Bioethics and the Rules-based Order'. We talk about the history of clinical and bioethic and outline their main components in application to humans. Topics discussed include the Nuremberg trials and why it took 20 years before a consensus in the medical profession, the currently accepted 'ethical principles' and how long term and ethically flawed studies on syphilis triggered them. Jonathan also talks about the notion of 'invisible colleges', the relatively recent requirement for medics to fully inform patients of their diagnosis and prognosis, and the importance of invitro-fertilisation, plus more recently CRISPR gene editing, in reshaping guidelines and policy. We also discuss the wider application of ethics to the biosphere, including the growth of the anti-vivisection movement in the late 19th century. To conclude Jonathan reads the closing, summing up, paragraph of his book. Essential listening!
Participants:
Jonathan D. Moreno is Emeritus Professor of Medical Ethics and Health Policy, of History and Sociology of Science, and of Philosophy at the University of Pennsylvania.
https://pikprofessors.upenn.edu/sites/default/files/2021-10/moreno-cv.pdf
Ken Barrett is an artist, writer and former neuropsychiatrist
http://www.kenbarrettstudio.co.uk
Jonathan's book 'Absolutely Essential: Bioethics and the Rules Based Order'.:https://mitpress.mit.edu/9780262553377/absolutely-essential/
Also discussed on the podcast:
DARPA: https://www.darpa.mil/
Jonathan's earlier book on military and intelligence funding of neuroscience: MIND WARS: https://www.amazon.co.uk/Mind-Wars-Science-Military-Century/dp/193413743X
Jonathan's last visit to Brainalnd to talk about Mind Wars: https://shows.acast.com/brainland/episodes/mind-wars
Musical extract: Prelude from Act 1 of Brainland, composed by Stephen Brown.
Brainland the opera website: www.brainlandtheopera.co.uk
portrait sketch by KB
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