Freakonomics Radio - 128. Baby, You Can Program My Car

Episode Date: May 29, 2013

A glimpse into our driverless future. ...

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Starting point is 00:00:00 From APM, American Public Media, and WNYC, this is Freakonomics Radio on Marketplace. Here's the host of Marketplace, Kai Risdahl. Time now for a little Freakonomics Radio. It's that moment every couple of weeks we talk to Stephen Dubner, the co-author of the books and the blog of the same name. The hidden side of everything is what he does. Hey, Dubner, how are you? Hey, Kai, I blog of the same name, The Hidden Side of Everything is What He Does. Hey, Dubner, how are you? Hey, Kai, I'm great. Hey, I've got a question for you today.
Starting point is 00:00:29 How well do you think that a computer would do your job hosting this radio show? What are you kidding? You've been probing my nightmares? What? That's not a good question. Here's the thing. It strikes me at this very interesting point in history where we've all become very reliant on computers. And yet there are some things that humans do and will always do better, like radio hosting.
Starting point is 00:00:49 But let me ask you this parallel question. How good are you at driving, let's say? Ooh, well, I'm a man. So, of course, I say I'm a great driver. There you go. Right? So no matter how good you are, even good drivers obviously pose a risk. I was talking about this with a fellow named Raj Rajkumar. He's an engineering professor at Carnegie Mellon in Pittsburgh.
Starting point is 00:01:09 Because 93% of accidents happen due to human error. We really are trying to basically take the human error tendency out of the picture. Okay. 93% I get, but how do you take human error tendency out of the picture, dude? Here's what you do, Kai. You do not let humans drive. Okay. So Rajkumar heads up a Carnegie Mellon team that's been developing a driverless car. A couple of weeks ago, I went for a ride in this car. Really? I was about to ask if you got to drive it, but I guess not. I didn't get to drive. Nobody got to drive it. So did you go out like on the city streets of, where's Carnegie Mellon? Pittsburgh, right? We didn't. It's in Pittsburgh. In this case, we just drove around a big track that Carnegie Mellon has built on the site of an old steel mill.
Starting point is 00:01:49 But there were on this track, there are other cars, bicyclists, there's a skateboarder in the road, there's stoplights, there's construction, all the elements of real driving. What does this thing look like? Does it have like the big camera turret on top so it can see what's going on and sensors and all that? Actually, no. So that's the Google car that a lot of people have seen pictures of. So Carnegie Mellon is developing this car for General Motors. So this was a Cadillac SUV, and their mission is to build a driverless car that, A, doesn't look like a robot, and B, is relatively affordable. So all the cameras and sensors and radars are embedded in the bumpers and elsewhere.
Starting point is 00:02:23 It looks pretty much like a stock car unless you open up the spare tire compartment. That's where all the computers are. And then there's also a big red kill button on the dashboard. Is that from when the car is about to crash into something and you're sitting there going, ah! Well, that's the issue here, okay? So GM and Google are not the only ones developing driverless cars. There's a lot of competition, which I would argue is a very good thing. And from all the evidence so far, it appears to be astonishingly successful at low speeds and high speeds, city streets, highways.
Starting point is 00:02:56 And it looks like a driverless car will screw up a lot less than a car driven by us, by humans. So then the question gets to be, when do we get it? When does this happen for real? And what interests me really is what kind of effects will that have on society? Well, spitball it for me. I mean, what's going to happen? Well, honestly, I personally think it's a revolution waiting to happen. You just think about all the industries that get affected, for better or worse. So the auto industry, of course, the insurance industry.
Starting point is 00:03:23 Older people could live on their own longer if they don't have to drive themselves. Drunk driving wouldn't be such a big concern, which is good news for restaurants and bars. But to me, the biggest impact by a long, long shot is safety. Yeah, because lots of people die in car accidents. 34,000 traffic deaths a year roughly in the U.S. And if you look worldwide, one million deaths from traffic fatalities. And there's injuries. And in the U.S., traffic accidents send more than 2 million adults to the ER each year.
Starting point is 00:03:53 And, of course, the economic cost of all this danger is massive. There's also the fact that most people enjoy driving. Pry this steering wheel from my cold, dead hands. Well, that is a common sentiment. The fact is that most of us don't drive anywhere near as safely as we think about here. Get this, Kai. About 80 percent of drivers rate themselves above average, which is, of course, statistically not possible. And believe me, if we found out that human error by, let's say, public radio hosts was causing one million deaths worldwide, my friend Kai, I would replace you with a computer in a heartbeat. Stephen Dubner, Freakonomics.com is the website.
Starting point is 00:04:34 We'll see you in a couple of weeks. Thanks for having me, Kai. All right, man. Bye-bye. Hey, podcast listeners. On the next Freakonomics Radio, it's something you do every time you eat at a restaurant or get your hair cut. But we're going to tell you everything wrong with it. I don't like to tip. Tipping is unpleasant. It's discriminatory.
Starting point is 00:05:08 The more tipping you see in a given country, the more corruption you generally see in that country as well. Should tipping be banned? That's next time on Freakonomics Radio.

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