OM DENNE PODKAST 🔗
Health technology and AI are about more than coding, models, data, or performance. But many of the ethical and societal issues are complex and hard to grasp. This is where Built Better comes in: A science podcast for those interested in health innovation and the complex social dimensions and ethical questions behind technology development. In each episode, you get an in-depth conversation between our host and bioethicist Dr. Bettina Zimmermann and a fellow researcher at the Institute of Ethics and Medicine and Technology, School of Medicine and Health, Technical University of Munich.
Our researchers dive deep into our latest research to bring you a practical perspective and nuanced analysis of the ethical implications of machine learning models for clinical care, health information on social media, aging in times of technological innovation, and more.
Our researchers dive deep into our latest research to bring you a practical perspective and nuanced analysis of the ethical implications of machine learning models for clinical care, health information on social media, aging in times of technological innovation, and more.
Opdateringsfrekvens:
biweekly
Gjennomsnittlig lydlængde:
17 minutes
Engelsk
USA
2 episoder
siden 30. oktober 2026
episodic
I DENNE PODKAST 🔗
NYESTE EPISODE 🔗
This episode is about data, categories, artificial intelligence, and the role ethics can play in the day-to-day development of technologies that are ever more widely used to support medical diagnosis.
Read the full research paper discussed in this episode here: https://medinform.jmir.org/2025/1/e…
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Søk etter gamle episoder av Built Better – Practical Ethics for Emerging Tech.
SISTE EPISODER 🔗
Hosted by Bettina Zimmermann, bioethicist at the Institute of Ethics in Medicine and Technology at the Technical University of Munich, Germany. Find us at: https://www.pm.mh.tum.de/ethics/
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Ansvarsfraskrivelse: Podkasten og kunstværket, det finnes indlejret på denne siden, er fra Institute of Ethics in Medicine and Technology / Technical University of Munich, som tilhører dens eier og ikke er tilknyttet eller godkjent av Listen Notes, Inc.
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