Episodes: 168
Frequency: Biweekly
Rating: 4.8/5.0
Estimated listeners: 10k-100k
Gender skew: Unknown
Location: USA
YouTube: 88.5k subscribers
Publicly listed emails
undivided@humanetech.com
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Tristan Harris - Co-founder of the Center for Humane Technology and a former Google design ethicist focused on the social and psychological effects of technology.
Aza Raskin - Co-founder of the Center for Humane Technology and a technologist focused on humane technology, artificial intelligence, and the effects of digital systems on human behavior.
Garance Burke - Ai-powered Policing, Surveillance Technology, Automated License Plate Readers, And The Societal Consequences Of Data-driven Law Enforcement.
Andrew Guthrie Ferguson - Artificial Intelligence In Policing, Automated License Plate Readers, Surveillance, Constitutional Law, And Civil Liberties.
Molly Kinder - AI And Workforce Disruption, Labor-market Effects, Economic Inequality, And Planning For The Transition To An Ai-driven Economy.
Krista Tippett - Trust In The Age Of AI, Building Technology In Service Of Life, Collective Responsibility, And Resisting Technological Inevitability.
The Most Hopeful (And Concerning) Moment Yet in AI
September 17, 2026
It’s been a whirlwind week in AI news. Weeks after a series of hacking incidents by rogue agents at OpenAI and Anthropic, we’ve seen a cascade of top AI researchers blow the whistle on what they call the catastrophic and even existential risks posed by the current pace of development. Then, over the weekend, Dario Amodei called for a slowdown in AI research — a call that was echoed by his competitors Sam Altman and Elon Musk.If you’re feeling both concerned and hopeful at this moment, you’re ...
Flock is Just the Beginning: Inside the Era of AI-Powered Policing
September 10, 2026
In a 2018 TED Talk, Yuval Harari argued that democracy prevailed over fascism and communism in the 20th century not because of any inherent advantage, but because the technology of that age favored open and democratic societies. It was simply too difficult and too costly to centralize power using pre-digital technology.But, Yuval warned, with the rise of AI, the calculus might flip: it might actually become far more efficient to run highly centralized authoritarian governments.Eight years lat...
We Measure What AI Can Do. We Should Measure What It Does to Us.
August 27, 2026
In AI, what gets measured gets optimized. Right now, we're spending all our efforts to measure how capable and powerful models are, narrowly optimizing for those metrics while ignoring downstream consequences. What if we could flip this dynamic on its head? What if, instead of what AI can do, we start to measure what AI does to us? What if, instead of races to the bottom on capabilities and engagement, we could incentivize races to the top on safety, or better yet, on making us more resilient...
Publicly listed emails
undivided@humanetech.com
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