It's TED Talks Daily. I'm Elise Hugh.

We hear a lot about artificial intelligence or AI these days, what it can do and how far it's come.

In his talk from Ted Monterey in 2021, computer systems developer Jeff Dean shares a vision of where AI is going and how to design it responsibly.

Hi, I'm Jeff. I lead AI research and health at Google. I joined Google more than 20 years ago when we were all wedged into a tiny office space above what's now a T-Mobile

store in downtown Palo Alto. I've seen a lot of computing transformations in that time.

And in the last decade, we've seen AI be able to do tremendous things. But we're still doing it

all wrong in many ways. That's what I want to talk to you about today. But first, let's talk about

what AI can do.

So in the last decade, we've seen tremendous progress in how AI can help computers see,

understand language, understand speech, better than ever before. Things that we couldn't do before,

now we can do. If you think about computer vision alone, just in the last

10 years, computers have effectively developed the ability to see. Ten years ago, they couldn't see. Now

they can see. You can imagine this has a transformative effect on what we can do with computing.

We can better predict flooding to keep everyone safe using machine learning. We can translate more

than 100 languages so that we all

can communicate better. And we can better predict disease and diagnose disease so that everyone gets the treatment that they need.

So let's look at two key components that underlie the progress in AI systems today.

The first is neural networks, a breakthrough approach to solving some of these difficult problems

that is really shown in the last 15 years, but they're not a new idea.

And the second is computational power.

It actually takes a lot of computational power to make neural networks able to really sing.

And in the last 15 years, we've been able to have that.

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