I got introduced recently in Las Vegas as the Godfather, which I liked.

But you didn't whack anyone, right?

It's on.

Hi, everyone from New York, and the Vox Media Podcast Network.

This is on with

Caro Swisher, and I'm Caroswisher. I've been talking all year to people about the impact

of artificial intelligence on society. Some are optimistic, zoomers, others are deeply concerned,

doomers, and many are in between gloomers and bloomers. My guest today is someone who has been

ringing the warning bells,

but still thinks there's time to fix things, one of the godfathers of AI, Nobel laureate, Jeffrey Hinton.

Hinton is Professor Emeritus at the University of Toronto, where he and his computer science

colleagues worked on machine learning using artificial neural networks. He was the first to train networks

using deep learning, which is the basis for today's artificial intelligence. In 2012, he and his

students, Alex Krashefsky and Ilya Sutskiver made a breakthrough in image recognition

with AlexNet. In 2013, Google bought their startup, DNN research, to boost its photo search, and kept Hinton

on to run it. And Iliott went on to co-found Open AI. Hinton worked for Google for a decade until he

left abruptly two years ago and began speaking out on the risks of AI. And he's an incredibly

thoughtful person when it comes to this issue.

He worked on this his whole life, so he doesn't hate it the way some in tech have posited

and especially insult him about. And I'm really offended by that personally. So I wanted to talk to

Hinton about the short and long-term risks he sees in the technology that he

helped develop, how to create national and international policies that will keep AI under

...