Machine Learning Street Talk (MLST)

Can AI therapy be more effective than drugs?


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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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Machine Learning Street Talk (MLST)By Machine Learning Street Talk (MLST)

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