undefined

Daniel Oberhaus

Science writer and author of The Silicon Shrink, a book about the promise and perils of AI in psychiatry. Former journalist at Wired.

Top 3 podcasts with Daniel Oberhaus

Ranked by the Snipd community
undefined
72 snips
Apr 19, 2025 • 29min

The silicon shrink – the worrying side of AI in mental health

In this insightful discussion, Daniel Oberhaus, a science writer and author of The Silicon Shrink, explores the interplay between AI and mental health. He highlights innovative solutions like chatbots and mood-tracking apps that show promise but also raise ethical concerns. Daniel emphasizes the risks of over-reliance on AI tools in therapy and the critical need for transparency in their use. Through personal stories and research, he advocates for a cautious approach, ensuring that technology enhances rather than compromises patient care.
undefined
5 snips
Feb 4, 2025 • 60min

Daniel Oberhaus, "The Silicon Shrink: How Artificial Intelligence Made the World an Asylum" (MIT Press, 2025)

Daniel Oberhaus, a science and technology journalist, discusses his book, "The Silicon Shrink," which addresses the unsettling intersection of AI and psychiatry. He reveals how AI promises superhuman accuracy in detecting mental disorders but lacks evidence of improving outcomes. Oberhaus shares personal insights after losing his sister to suicide, highlighting the risks of psychiatric surveillance and manipulation through algorithms. He introduces the concept of "swipe psychology," warning about the ethical dilemmas posed by AI in mental health care.
undefined
Feb 4, 2025 • 60min

Daniel Oberhaus, "The Silicon Shrink: How Artificial Intelligence Made the World an Asylum" (MIT Press, 2025)

Daniel Oberhaus, a science and technology journalist motivated by personal tragedy, discusses his book exploring AI's unsettling role in psychiatry. He reveals how AI promises accessible mental health care but risks creating a psychiatric surveillance economy that manipulates emotions. Oberhaus introduces 'swipe psychology,' revealing its dominance in mental health diagnostics. He critically examines the ethical implications of AI in mental health, cautioning against its implementation without rigorous evaluation of patient outcomes.

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app