Will AI Decide When You Die? The Ethics of "Algorithmic Healthcare" | Brian M. Green

AI Will Decide Your Healthcare. Here Is What Ethical Oversight Actually Requires. In this episode, Brian M. Green, AI ethicist, healthcare innovation strategist, and founder of Health Vision AI, joins host Niki Weiss to explore what happens when AI enters end of life healthcare decisions, why agentic AI has opened a new category of ethical risk, and what transparency, cultural humility, and digital literacy mean in the context of death and dying. CHAPTERS 0:00 AI Will Decide Your Healthcare. Here Is What Ethical Oversight Actually Requires. 1:05 Welcome Brian: AI ethics, healthcare innovation, and the Pandora's box of agentic AI 2:45 How AI and social media have changed how people learn about death and care options 5:00 Why patients arriving with AI-generated information frustrates and challenges clinicians 7:20 How providers can use AI themselves to communicate better and meet patients where they are 10:15 What agentic AI is and why it opens new categories of security and privacy risk 13:30 Why AI in healthcare is not designed around human ethical frameworks yet 16:55 What it would take to build a foundational model that is grounded in human ethics 20:10 Continuous monitoring, wearables, and the cardiovascular validation problem 23:44 Why end of life research is missing because death is the endpoint, not the starting point 26:30 Why AI cannot yet make ethically based decisions on behalf of humans and must not 29:15 Organ transplants, life support, and the question of AI as the decision maker 32:00 What responsible AI principles look like specifically in death and dying contexts 36:16 Brian's takeaways: transparency, cultural humility, clear boundaries, and AI literacy WHAT YOU WILL LEARN - What agentic AI is and why it represents a new category of ethical risk in healthcare settings involving death, dying, and end of life decisions - Why the body of healthcare research is structurally missing data on the end of life experience because death has historically been treated as an endpoint rather than a subject of study - What transparency, cultural humility, and clear boundary setting mean specifically in the context of AI interacting with grieving or dying patients - Why AI can mirror sympathy and empathy but is not sentient and why that distinction matters when someone is in a healthcare crisis - What digital literacy and AI literacy mean for everyday people navigating end of life healthcare decisions in an AI-mediated world Start your plan and take the free assessment: https://finalplaybook.com/main-page LISTEN TO THE PODCAST Apple Podcasts: https://podcasts.apple.com/us/podcast/death-and-dying-in-the-digital-age/id1775499012 Spotify: https://open.spotify.com/show/2MQkOgvyPQnLEz1fO9BHkY Subscribe: @DigitalLegacyPodcast FOLLOW US Facebook: https://www.facebook.com/endevo.digitallegacy TikTok: https://www.tiktok.com/@endevo_digitallegacy Instagram: https://www.instagram.com/endevo_digitallegacy/ Download the My Final Playbook app: Google Play: https://play.google.com/store/apps/details?id=endevo.life.finalplaybook Apple App Store: [link coming soon] #deathandyinginthedigitalage #ENDevo #digitallegacy #digitallegacypodcast #myfinalplaybook Disclaimer: The Death and Dying in the Digital Age channel is for educational purposes only and does not provide medical, legal, or financial advice. Views expressed by the host and guests are their own. Always consult qualified professionals before making decisions. The channel is not responsible for actions taken based on its content. Re-uploads or ANY use of our content is prohibited.