
Can AI therapy be more effective than drugs?
About this episode
Daniel Cahn, co-founder of Slingshot AI, on the potential of AI in therapy. Why is anxiety and depression affecting a large population? To what extent are these real categories? Why is the mental health getting worse? How often do you want an AI to agree with you? What are the ethics of persuasive AI? You will discover all in this conversation.
MLST is sponsored by Brave:
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Daniel Cahn (who is also hiring ML engineers by the way!)
https://x.com/thecahnartist?lang=en
/ cahnd
https://thinkingmachinespodcast.com/
TOC:
00:00:00 Intro
00:01:56 Therapy effectiveness vs drugs and societal implications
00:04:02 Mental health categories: Iatrogenesis and social constructs
00:10:19 Psychiatric treatment models and cognitive perspectives
00:13:30 AI design and human-like interactions: Intentionality debates
00:20:04 AI in therapy: Ethics, anthropomorphism, and loneliness mitigation
00:28:13 Therapy efficacy: Neuroplasticity, suffering, and AI placebos
00:33:29 AI's impact on human agency and cognitive modeling
00:41:17 Social media's effects on brain structure and behavior
00:50:46 AI ethics: Altering values and free will considerations
01:00:00 Work value perception and personal identity formation
01:13:37 Free will, agency, and mutable personal identity in therapy
01:24:27 AI in healthcare: Challenges, ethics, and therapy improvements
01:53:25 AI development: Societal impacts and cultural implications
Full references on YT VD: https://www.youtube.com/watch?v=7hwX6OZyNC0 (and baked into mp3 metadata)
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