AI Is Moving Fast. We Need Laws that Will Too.

AI Is Moving Fast. We Need Laws that Will Too.

AI is moving fast. And as companies race to rollout newer, more capable models–with little regard for safety–the downstream risks of those models become harder and harder to counter. On this week’s episode of Your Undivided Attention, CHT’s policy director Casey Mock comes on the show to discuss a new legal framework to incentivize better AI, one that holds AI companies liable for the harms of their products.

Your Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_

RECOMMENDED MEDIA

The CHT Framework for Incentivizing Responsible AI Development

Further Reading on Air Canada’s Chatbot Fiasco

Further Reading on the Elon Musk Deep Fake Scams

The Full Text of SB1047, California’s AI Regulation Bill

Further reading on SB1047

RECOMMENDED YUA EPISODES

Former OpenAI Engineer William Saunders on Silence, Safety, and the Right to Warn

Can We Govern AI? with Marietje Schaake

A First Step Toward AI Regulation with Tom Wheeler

Correction: Casey incorrectly stated the year that the US banned child labor as 1937. It was banned in 1938.


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Episoder(168)

The Most Hopeful (And Concerning) Moment Yet in AI

The Most Hopeful (And Concerning) Moment Yet in AI

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 ...

17 Sep 20min

Flock is Just the Beginning: Inside the Era of AI-Powered Policing

Flock is Just the Beginning: Inside the Era of AI-Powered Policing

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 op...

10 Sep 59min

We Measure What AI Can Do. We Should Measure What It Does to Us.

We Measure What AI Can Do. We Should Measure What It Does to Us.

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 cons...

27 Aug 47min

Enough Debate about the AI Jobpocalypse. We Need To Plan for the Messy Middle.

Enough Debate about the AI Jobpocalypse. We Need To Plan for the Messy Middle.

It feels like we’re stuck in an endless debate about what AI is going to mean for jobs and the economy. The prediction you hear from the people closest to the technology — both its critics and its boo...

13 Aug 57min

Can AI Be Built in Service of Life? A Conversation with Krista Tippett

Can AI Be Built in Service of Life? A Conversation with Krista Tippett

This week, we're bringing you a conversation that Tristan Harris had with Krista Tippett. Krista is the Peabody Award-winning host of the On Being podcast, where she explores spiritual inquiry, scienc...

16 Jul 53min

“Magnifica Humanitas:” Pope Leo’s Clarion Call on AI

“Magnifica Humanitas:” Pope Leo’s Clarion Call on AI

Since stepping into the Papacy, Pope Leo XIV has been a forceful voice pushing back against the anti-human path we’re on with AI. In May, he released “Magnifica Humanitas,” a sprawling encyclical warn...

2 Jul 30min

We Need AI Treaties. This is How We Get Them

We Need AI Treaties. This is How We Get Them

In the middle of the twentieth century, the existential threat posed by nuclear weapons seemed inevitable. The number of countries with nukes was climbing rapidly, and the idea of stopping the nuclear...

18 Jun 51min

What Do We Mean by Humane Tech?

What Do We Mean by Humane Tech?

We often think of the challenges created by technology as separate and disconnected, so trying to solve them feels like playing the world's hardest game of Whac-A-Mole.  What if, instead, we tackled t...

4 Jun 52min

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