Machine Learning Street Talk (MLST) Can AI therapy be more effective than drugs?
Daniel Cahn, co-founder of Slingshot AI, discusses the revolutionary potential of AI in therapy. He examines the rising rates of anxiety and depression, challenging the notion of mental health categories as societal constructs. The conversation delves into the ethical implications of AI in therapeutic settings, including the effectiveness of AI chatbots as support tools. Cahn also explores the impact of technology on human agency, emotional connections, and how it might reshape our understanding of mental health interventions.
02:14:07
Social Media's Impact on Identity
- Social media hinders our ability to change and evolve our identities due to the permanence of online records.
- This can lead to a persistent, potentially harmful sense of self based on past actions or statements.
Building AI Therapists
- Build AI therapists that prioritize helping people change their minds and lives positively.
- Focus on addressing the shortage of therapists and expanding access to mental healthcare.
Iatrogenesis in Therapy
- Therapists, like any medical professionals, can cause harm (iatrogenesis) while trying to heal.
- Increased demand for therapy has led to a wider range of therapist qualifications, potentially affecting quality.
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Intro
00:00 • 2min
Navigating Mental Health Complexities
01:59 • 11min
AI Cognition and Human Interaction
12:40 • 10min
The Dynamics of AI in Therapeutic Relationships
22:34 • 2min
AI in Therapy: Bonds and Boundaries
24:42 • 14min
Navigating Cognitive Models and Therapeutic Interventions
38:47 • 2min
The Social Fabric: AI, Connectivity, and Human Identity
40:29 • 18min
The Value of Work in an Automated Future
58:51 • 5min
Exploring Agency and Identity in Addiction
01:03:26 • 20min
AI in Therapy: Bridging Gaps and Ethical Dilemmas
01:23:30 • 23min
Transformers in Therapy: AI and Human Interaction
01:46:33 • 24min
Navigating Locality and Culture in AI
02:11:01 • 3min
#918
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Noise
A Flaw in Human Judgment
Olivier Sibony
Daniel Kahneman
Cass R. Sunstein
The book highlights the detrimental effects of noise in various fields such as medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection.
Noise is defined as random or chaotic deviations from targeted behavior, which can lead to inconsistent judgments even among the same individuals under different conditions.
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#455
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The book critiques medical interventions such as puberty blockers, cross-sex hormones, and surgeries, highlighting the risks and long-term consequences.
Shrier also interviews girls, their parents, counselors, doctors, and 'detransitioners' to provide a comprehensive view of the issue and offers advice for parents on how to protect their daughters from this trend.
#17
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Dale Carnegie
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Carnegie's principles emphasize the importance of genuine interest in others, active listening, and avoiding criticism and argument.
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It has been a cornerstone of personal development and business success for generations.
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He attributes this decline to the shift from a 'play-based childhood' to a 'phone-based childhood', highlighting mechanisms such as sleep deprivation, attention fragmentation, addiction, loneliness, social contagion, and perfectionism that interfere with children’s social and neurological development.
Haidt proposes four simple rules to address this issue: no smartphones before high school, no social media before age 16, phone-free schools, and more opportunities for independence, free play, and responsibility.
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#331
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A Theory
David Graeber
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#753
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He examines behavior on multiple time scales, from the immediate neural responses to actions that occur over centuries and millennia.
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#498
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Why greatness cannot be planned
Kenneth Stanley
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How We Lose and Find Ourselves
Stephen Grosz
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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)