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Library / TED Talks / TED
Back to LibraryTristan HarrisGovernance and policyPlatform power and cognitive vulnerabilitypublished
How a handful of tech companies control billions of minds every day
Harris shows how engagement optimization functions as behavioral infrastructure: product defaults and ranking decisions at a handful of firms can shape collective attention, belief formation, and social coordination.
Talk player
Why this matters
This is a foundational precondition talk for AI governance. It explains why incentive design and platform architecture are safety issues, not merely product strategy issues.
Perspective map
Risk-forwardSocietyHigh confidence
Risk-forwardCaution & harms
MixedBalanced framing
OpportunityUpside & deployment
For band and lens definitions, scoring, and counterbalance: see the Perspective Map Framework in Library methodology.
Risk-forward leaning, primarily in the Society lens. Evidence mode: interview. Confidence: high.
- - Emphasizes control
- - Emphasizes governance
- - Emphasizes policy
References
Related podcasts
Related figures
- Tristan Harris
- Carole Cadwalladr
- Zeynep Tufekci
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Cadwalladr argues that opaque targeting systems can distort electoral processes while evading public scrutiny and regulatory accountability. She frames platform ad infrastructure as a constitutional issue, not just a media issue.
CuratedTED talkpublished
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Tufekci explains how recommendation and targeting systems optimized for advertising can become de facto civic infrastructure without democratic mandate or accountability.
CuratedTED talkpublished
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Harris presents frontier AI as a collective governance decision rather than a technical inevitability. The talk links social-media deployment failures to current AI rollout dynamics, arguing that capability acceleration without institutional counterweights produces predictable public harm.
FeaturedTED talkpublished
Counterbalance on this topic
Ranked with the mirror rule in the methodology: picks sit closer to the opposite side of your score on the same axis (lens alignment preferred). Each card plots you and the pick together.
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Auto-discovered from Lex Fridman Podcast. Editorial summary pending review.
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This page -30This pick -3.04Δ +26.96
This pageThis pick
Offset on the spectrum so you can compare how risks and upsides are weighted. Mixed · Society lens.
Spectrum trail (transcript)
Med 0 · avg -0 · 346 segs
AXRP
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Auto-discovered from AXRP. Editorial summary pending review.
Spectrum vs this page
This page -30This pick -6.84Δ +23.16
This pageThis pick
Offset on the spectrum so you can compare how risks and upsides are weighted. Mixed · Society lens.
Spectrum trail (transcript)
Med 0 · avg -3 · 53 segs
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Auto-discovered from Future of Life Institute Podcast. Editorial summary pending review.
Spectrum vs this page
This page -30This pick -6.84Δ +23.16
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