Podcast artwork thumbnail for Your Undivided Attention

Your Undivided Attention

Tristan Harris, Aza Raskin

Booking Overview

Interview-led technology and society show focused on artificial intelligence, its effects on human behavior and institutions, and the policies needed to manage emerging risks. It regularly features senior academics, policy experts, investigative journalists, authors, and prominent media figures; credible pitches would include leading AI-safety researchers, technology-policy authorities, economists, civil-liberties experts, and award-winning journalists, with booking difficulty likely high.

Metrics

Episodes: 168

Frequency: Biweekly

Rating: 4.8/5.0

Estimated listeners: 10k-100k

Gender skew: Unknown

Location: USA

YouTube: 88.5k subscribers

Contact Information

Publicly listed emails

undivided@humanetech.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

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.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Recognized subject-matter authorities with senior academic, policy, technology, economics, journalism, or media credentials; strong candidates typically bring published research, a notable book, award-winning work, or leadership of a relevant organization.
Required Achievements:  
Published books or influential research, Senior roles at universities, think tanks, or technology organizations, Award-winning investigative or explanatory journalism, Leadership of organizations addressing artificial intelligence, technology, labor, or civil liberties

Recent Guest Discussions

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.

Recent Topics

Technology, Artificial Intelligence, Ai Safety, Digital Privacy, Technology Policy

Episodes

Here's the recent few episodes on
Your Undivided Attention
:

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

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Get your clients booked on top podcasts

Try us risk free with a FREE 3 days trial.

Start Your Free Trial

Join hundreds of PR teams using Podseeker to pitch and land bookings