More than 90% of all crashes have a human driver as the cause. So if you want to solve traffic fatalities, the best solution is driverless vehicles. It's an ambitious goal, but only possible because of the recent breakthroughs in deep learning. Artificial intelligence is one of those key pieces that has made it possible now to do driverless cars where it wasn't possible ten years ago. For computers, until very, very recently, to do even the most basic visual tasks, like seeing a picture of a person and knowing that it's a person was remarkably hard. That's obviously fundamental to being able to understand the world around you with the sensors that you have. And we've made also gigantic strides in being able to perform complex tasks.

A.I. can be used in many ways that are very beneficial for society. But the current use of A.I. isn't necessarily aligned with the goals of building a better society, unfortunately. But, but we could change that. A.I. will be viewed as an age of enlightenment. Our children and their children will see A.I. as serendipity, that A.I. is here to liberate us from having to do routine jobs, and push us to do what we love, and push us to think what it means to be human. But what if humans mishandle this new power?

Here's a growing trend in artificial intelligence. Dating video games and other applications let users carry on virtual relationships with computerized girlfriends ranging from career women to Japanese schoolgirls. There's even something for the ladies. How soon will there be artificial intelligence of such complexity that protecting its well-being and rights becomes a serious political and social concern? In what year will there be an app or computer program or a device that you not only love but that possibly, within the realm of believability might actually love you ...back?

Everywhere you go, you generate a cloud of data. You're trailing data, everything that you do is producing data. And then there are computers looking at that data that are learning, and these computers are essentially trying to serve you better. They're trying to personalize things to you. They're trying to adapt the world to you. So on the one hand, this is great, because the world will get adapted to you without you even having to explicitly adapt it. There's also a danger, because the entities in the companies that are in control of those algorithms don't necessarily have the same goals as you, and this is where I think people need to be aware that, what's going on, so they can have more control over it.
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Everyone always wants to be able to choose - but who really makes these choices? And do we really want to have more choices? Michael Stevens finds out as he explores decision-making.

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