World Model · podcast knowledge graph

Will AI destroy us... or save us?

2026-04-09 · 51 min · 10 entities

Asserted relationships

  • → discusses Society & Culture concept
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    evidence rules-v5
    Feed category: Society & Culture
  • → discusses History website
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    evidence rules-v5
    Feed category: History
  • → discusses Documentary concept
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    Feed category: Documentary
  • → hosted by NPR company
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    evidence rules-v5
    Feed author/publisher: NPR

Entities found in this episode

concepts 4

  • mentioned Society & Culture concept
    0.50
    evidence rules-v5
    Feed category: Society & Culture
  • mentioned Documentary concept
    0.50
    evidence rules-v5
    Feed category: Documentary
  • discusses Society & Culture concept
    0.40
    evidence rules-v5
    Feed category: Society & Culture
  • discusses Documentary concept
    0.40
    evidence rules-v5
    Feed category: Documentary

companys 3

  • mentioned NPR company
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    evidence rules-v5
    Feed author/publisher: NPR
  • mentioned New York University company
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    evidence rules-v5
    professor at New York University
  • hosted by NPR company
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    evidence rules-v5
    Feed author/publisher: NPR

websites 2

  • mentioned History website
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    evidence rules-v5
    Feed category: History
  • discusses History website
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    evidence rules-v5
    Feed category: History

books 1

Episode description as stored
Like it or not, artificial intelligence is deeply rooted in our lives. Its invisible architecture stretches everywhere from dating apps to medical care. In this new world, what remains uniquely human? On today's episode, we explore the tension between our love of AI and our fear of it — and try to decode the humans behind the machines. This episode originally published in March of 2023. Guests: George Zarkadakis , author of In Our Own Image: Will Artificial Intelligence Save or Destroy Us? Francis Collins , physician-geneticist who led the Human Genome Project Stephanie Dick , assistant professor in the School of Communication at Simon Fraser University Meredith Broussard , data journalism professor at New York University, and author of  More Than a Glitch: Confronting Race, Gender and Ability Bias in Tech To access bonus episodes and listen to Throughline sponsor-free, subscribe to Throughline+ via Apple Podcasts or at plus.npr.org/throughline . See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy