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00:00As fall breaks out in Canada I'm reminded of all the beauty innocence and gun free fun available from our neighbors to the north . There's the majesty of Toronto spectacular batches of poutine and gallons of maple syrup that you can chug openly and kill free for this maple syrup is pure and nourishing the changing of the seasons also happens to be the perfect time to encounter one of Canada's most prized creatures . The artificial intelligence nerd not too long ago these beings were rare and hidden away in university dungeons but today they flourish. They print with instinctual Grace. They wave their hands impressively to assert their intellectual dominance. They carb load like overpaid professional athletes and this makes some sense because they're among the best paid professionals in the world . Together these creatures did something truly remarkable without anyone paying much notice. They gave birth to an A.I. revolution. They turned Canada. Yes Canada into one of the great A.I. superpowers. This is the story of how all this came to be. It's the story of one nation's quest to teach computers to think like humans. It's the story of what this science experiment will mean for all our lives . And for the future of the human species so if you're a human or something try to imitate one. You want to pay attention . Ever since people first came up with the idea of computers they've dreamed of imbuing them with artificial intelligence. I am a smart fellow as I have a very fine brain. That's the most remarkable thing I've ever seen. The A.I. is just a computer that is able to mimic or simulate human thought or human behavior. Within that there is a subset called machine learning that it's now the underpinning of what is most exciting about A.I. by allowing computers to learn how to solve problems on their own machine learning has made a series of breakthroughs that once seemed nearly impossible. It's the reason computers can understand your voice spot a friend's face in a photo and steer a car . And it's the reason people are actively talking about the arrival of human like A.I. and whether that would be a good thing or a horrific end of days thing. Many people made this moment possible but one figure towers above the rest. I've come to the University of Toronto to see the man they call the godfather of modern artificial intelligence. Geoff Hinton because of a back condition Jeff Hansen hasn't been able to sit down for more than 12 years. He's standing Russia at the same time. What if I said I'll have a second. I'm sorry. Well at least now standing desks are fashionable. But I was I. I was standing where I was standing when they were fighting off . Since he can't sit in the car or on a bus. Hinton walks everywhere . Walk says a lot about Hinton and his results for nearly 40 years. Hinton has been trying to get computers to learn like people do a quest almost everyone thought was crazy or at least hopeless right up until the moment it revolutionized the field. Google thinks this is the future of the company . Amazon thinks the media company Apple thinks its future. My own department thinks it's just probably nonsense and we shouldn't be doing anymore. So I took everybody into it except my own department. You obviously grew up in the UK and you had this very prestigious family full of famous mathematicians and economists. And I was curious what it was like for you. Yeah . There was a lot of pressure I think by the time I was about seven I realised I was going to have to get a pasty. Did you rebel against the odds are you. You and I dropped out every so often that I became a carpenter Prof Jeff Hanson. Pretty early on I became obsessed with this idea of figuring out how the mind works. He started off getting into physiology of the anatomy of how the brain works. Then he got into psychology and then finally he settled on more of a computer science approach to modelling the brain and got into artificial intelligence. My feeling is if you want to understand a really complicated device like a brain you should build it. I mean you could look at cars and you could think you could understand cars where you can build a car you suddenly discover that this is stuff that has to go into the hood otherwise it doesn't work. Yes this chap was starting to think about these ideas. He got inspired by some A.I. researchers across the pond specifically this guy Frank Rosenblatt Rosenblatt in the late 1950s developed what he called a set Tron and it was a neural network a computing system that would mimic the brain. The basic idea is a collection of small units called neurons. These a little computing units but they're actually modelled on the way that the human brain does its computation. They take incoming data like we do from our sensors and they actually learn. So the neural net can learn to make decisions over time Rosenblatt ise hope was that you could feed a neural network a bunch of data like pictures of men and women and it would eventually learn how to tell them apart just like humans do . There was just one problem. It didn't work very well . Rosenblat his neural network was the single layer of neurons and it was limited in what it could do extremely limited. And a colleague of his wrote a book in the late 60s that showed these limitations . And it kind of put the whole area of research into a deep freeze for a good 10 years. No one wanted to work in this area. They were sure it would never work. Well almost no one. It was just obvious to me that it was the right way to get the brains of big neural network. And so it has to be stuff like this can work because it works in our brains let's just never any doubt about that. What do you think it was inside of you that kept you wanting to pursue this when everyone else was giving up just that you thought it was the right direction to go. You know that everyone else was wrong . Hinton decides he's got an idea of how these neural nets might work. And he is going to pursue it no matter what. For a little while he's bouncing around research institutions in the US. He kind of gets fed up that most of them are funded by the Defense Department and he starts looking for somewhere else he can go. I didn't want to take this too much money. I sort of didn't like the idea that this stuff was going to be used for purposes that I didn't think were good he suddenly hears the candidate might be interested in funding artificial intelligence and that was very attractive. And I can go off to this civilized town and just get on with. So I came to NYSE trying . And then in the mid 80s we discovered how to make more complicated neural nets so they could solve those problems than the simple ones couldn't solve. He and his collaborators developed a multi layered neural network a deep neural network and this started to work in a lot of ways using the neural networks are gunning. Dean Palmer Lou built a self-driving car in the late 80s and it drove on public roads . John McCune in the 90s built a system that could recognize handwritten digits and this ended up being used commercially . But again they hit a ceiling and went quite well enough because we didn't have enough data . We didn't have enough compute power and people in high end computer science decided Neural Networks was wishful thinking basically so it was a big disappointment . Through the 90s into the 2000s Jeff was one of only a handful of people on the planet who are still pursuing this technology. He would show up at academic conferences and be banished to the back rooms. He was treated as really like a pariah. Was there a time when you thought this just wasn't gonna work and you have some self-doubt. I mean there were many times when I thought I'm not gonna make this work for Jeff was consumed by this and couldn't stop . He just kept pursuing the idea that computers could learn until about 2006 when the world catches up to Hinton's ideas . Computers were down a lot faster. Now he's behaving like I thought he would behave in the mid 80s. He's solving everything arrival of superfast chips and the massive amounts of data produced on the Internet gave Hinton's algorithms a magical boost. Suddenly computers could identify what was in an image . Then they could recognize speech and translate from one language to another. By 2012 words like neural nets and machine learning were popping up on the front page of The New York Times. You have to go all these years and then all of a sudden you know in the span of a few months yes takes off. Did it finally feel like you know the world has finally come to my vision. It's sort of a relief that people finally came to their senses. Next up we have Professor Geoffrey Hinton. After you receive Turner for Hinton This is obviously a really redemptive moment. Now he's basically a technology celebrity. For Canada it's the country's moment as well. They have more A.I. researchers than just about any other place on the planet. And the quest now is to see what these guys can do. Starting companies and pushing the technology forward. I want to set out on a journey across Canada to see the best in Canadian A.I. technology and to get a feel for how far the technology has come and how far it still has to go . Here is a city that gets right at the central tension of modern life and the unfolding A.I. revolution. It's Montreal a place filled with beauty and Old World charms that ask you to move slowly through its streets and to chill for a while reflect and think deep thoughts at the same time it's one of the world's top A.I. research centers. Students flock here from all over the globe to get deep with machine learning and to take Jeff Hinton's ideas and figure out how to turn them into products we all use to see just how successful they've been. Look no further than your pocket. All this stuff started out as hardcore computer science but over the last five years A.I. has invaded our everyday lives. Your smartphone is packed full of A.I. powered apps including something like Google Translate that lets you point your phone at a magazine that's written in French and read it as if you were a local. Engineers have been trying to get computers to translate texts like this for decades but it was Jeff's neural nets that finally made it possible. Thanks Jeff . And it's not just your smartphone. Neural networks are heading for the open road for you Be by friends. Define the head of Montreal's Tesla fan club I'm driving at this now for a little bit more than for you on that ise. Do you have people asking you for rides all the time . Yes. Maybe that's because of his fancy pants auto pilot . Tesla's semi-autonomous driving system that kicks in when road conditions are right. So that's it. Auto pilot. Yes. And he's driving by yourself. We need to pay attention . That's why we don't have to drive that crazy self-driving cars are packed full of cameras sensors and radar . When teamed with computer vision neural nets it's this technology that lets the cars build a picture of the world. The technology has a long way to go but this Tesla can monitor all the cars around it switch lanes and park all by itself. Thanks Jeff . So you're living in the future. You know when you try it once it's very difficult to do without it because I just can't relax . We can try . There's no sign. That's why we still need to pay attention back on the sidewalk. I tap those neural nets again this time in the form of speech recognition. Find me some pretty neat places with an eight point four kilometers. Speech recognition used to suck but now it's pretty darn good. Why a neural net of course. Thanks Jeff. The Google Brain sent me here for an artery hardening affair with poutine once a simple Quebec dish of cheese curds french fries and gravy it's been disrupted Dan Dan pepperoni bacon. Here we go . It's gooey glorious and blessedly algorithm free. Well now the humans are tests when they can make stuff like this a big part of Hinton's legacy lies beyond these examples of A.I. in the world. He's also inspired a legion of disciples spreading the good word of neural nets Joshua EV Ngo is a professor at the University of Montreal . He's one of the researchers who glommed on to Hinton's ideas when it seemed to make little sense to do so . Over the years he's formed a mind meld with him. And together they've come up with many of the key concepts behind modern Asia . You guys worked on this stuff through the 80s and 90s 2000s and then it just seem like this totally went from computer science and research to we see it everywhere in our lives. Are you even used surprised what's happened the last five years that it really is like sitting on all our phones and that the rate at which the progress and the industrial products have been coming out is totally something we didn't expect . Even now it's hard to predict where are we going. Is it going to slow down . Or are we going to continue with this exponential increase . It's thanks to Yoshio that Montreal is full of top notch A.I. graduate talent. This in turn has brought tech giants like Google and Facebook to town along with their ample checkbooks . To me it seems like if you're good you can make to three hundred thousand dollars a year. It's crazy to see how much these guys get paid out a million dollars is something quite common. It's a salary. Have you ever had a country offer you an incredible money to come. Set up a lab. They're not a country but companies . Good Joshua has rejected the lucrative offers of big neural net . He remains committed to the ivory towers of academia which is a better fit for his philosophical approach to A.I.. You've got guys like you and Musk and Stephen Hawking and sometimes paid this technology in a very very dark light that it could run amok and start doing things on its own. What do you feel when you hear people say things like that. I'm not concerned about technology running amok of a terminator scenario I think is not very credible. And I also believe that if we're able to build machines that are as smart as us they also are smart enough to understand our values and to understand our moral system and so act in a way that's good for us now I think there are real concerns which is essentially misuse of A.I. to influence people's minds. It's already happening with political advertising. Yeah I mean we've already seen late this stuff from Facebook. I think we should be careful about this and try to regulate the use of a ise in places where it's morally wrong or ethically wrong. I think we just should just ban it and make it illegal it's comforting that Joshua has these concerns . But hopped down the road from the university. In reality well what's left of it becomes messier . This tiny room is the home to a startup called lyre bird. It was founded by Joshua's former students and has built an app that can clone your voice are you speaking about this new algorithm to copy voices. This is huge. It can make us say anything now really anything. One of its founders is this guy Mexican expat Jose. He taught me the art of the CLO so you'll need to record yourself for a few minutes of audio thousands of letters danced across the amateur author's screen . When you start to eat like this something is the matter. You guys better quit politics and take in washing I know where that came from. OK so create my digital voice now . Creating a digital voice takes at least one minute one minute . My God. Song before. To create some artificial voice of someone you would need to record yourself for at least eight hours. Test your voice. All right so now I get to type something. Yeah. So the moment of the truth . What's lyre birds a ise works its magic. After I'm done typing spell it out. Any words I put into the app can be played back in my digital voice. And here's the crazy thing even words I never actually said in the first place. Artificial intelligence technology seems to be advancing very quickly. Should we be afraid. I mean I can definitely hear my voice in there. That's what that is. That's really interesting. I just pick those words at random and I definitely did not say some of them. And it's like flowers and being able to sort of pick from just about any word and a manufacturer hello world is the best show I have ever seen . This technology seems sweet but lends itself to all manner of trickery pop back to my hotel to test out the library technology a little bit and you can see some really obvious ways that this could be abused. This is this is fake Donald Trump talking. The United States is considering in addition to other options stopping all trade with any country doing business with North Korea. And then you could picture somebody taking over your voice and creating some mayhem in your personal life. Now to really put my computer voice to the test I am going to call my dear sweet mother and see if she recognizes me Hey Mom. Oh. Where are you guys up to today. Well it's sad that we didn't have any electricity early this morning and we're just hanging around the house. I'm just finishing off work and waiting for the boys to get home. OK . I think I'm coming down with a virus. Oh well you feel bad . Hey I was messing around with you. You were talking to the computer . I was talking to you. That's amazing. Is that scary or good . It can be scary if it was something really important I you now . I don't know. Why is it . After realizing that anyone with the time and inclination could mess with my life there was only one thing left to do. I joined her Zane and a few other layer birds to chat more about the evils of A.I. while dulling my fear with booze. Obviously some people are freaked out by this technology because we're already like blurring the line about truth and reality. Of course there is some risk in the in in people using this kind of technology for applications. Unfortunately technologies it's not possible to stop it. So the ethical that we have decided is to show these to people to make them know that this kind of technology is available and so make them more cautious on this kind of subject. We really believe that right now the technology is not perfect is the right time to let people know. Please get used to it slowly. So you guys think the idea is just sort of new and that's why it scares people . But if you get used to it it's just that's just the way it is . We want our technology to be used for positive things. It's not something that we should be really afraid of. It's something that we should be careful about. But I feel enthusiastic about it's nice to be enthusiastic. It's also nice to meditate on the consequences of your inventions. Instead of turning our souls over to chants and blind luck it is kind of cool to be a cynical bastard in my new artisanal computer voice. Welcome Russian friends to our huge wonderful and very pure elections the real artificial intelligence weirdos in Canada live here in Edmonton this is a large but very very cold and very very flat city that is more or less in the middle of nowhere . It's the kind of place that has a giant butter vault to help people survive the lean winter months . Canadians like to put the best possible spin on how these conditions bring out interesting traits in people ask anyone like this guy from the Edmonton tourist center Edmonton Edmonton's one of those cities that isn't automatically listed in the top cities in Canada in terms of size or scale or or notice even but it's always had a really neat quality to it of that western independent spirit that you see very much in in Alberta in general. Combined with a conscience and a thoughtfulness over the University of Alberta some of the most far out eye research in the world is taking place. The man I'm here to see is the university's very own A.I. godfather rich Sutton Rich is considered one of the great revolutionary thinkers in A.I. you are not Canadian. I am Canadian but not by birth. No I was born in the U.S. but now I'm just Canadian. Ok then what brought you to Canada. The politics I wanted to get away from difficult times in the United States. The United States was invading other countries in 2003 when I came here and I didn't care for all that sudden enter the field of A.I. in the mid 80s. And like Geoff Hinton and Joshua Benji. He was a big believer in neural networks but suddenly has a different idea about how to further the technology . Unlike Hansen's method of feeding neural networks reams and reams of data and telling them what to do. Sutton wants them to learn more naturally from experience an approach called reinforcement learning reinforcement learning. It's like when animals do what people do. Try several things the things that work best you keep doing those and things that don't work out so well you stop doing them . And how do you teach your computer. We all you no idea. All you need is a sense the computer has to have a sense of what's good and what's bad. And so you get a special signal called the reward. The reward is high. That means it's good for us. It means it's bad to see Reinforcement Learning in Action. I found Marlowe's an industrious young Brazilian who's created an A.I. to play his video games for him. His algorithm plays the game thousands of times and gradually learns from experience how to do better . So the goal of this game is that you are in this yellow blob and what you have to do is that you have to get this many potions as you can why you avoid the harpies. And this is like the A.I. going at this for the first time. It's day I'll run it for the first time so Jim bumps into things against points as happy. If it dies it's unhappy. Yes and the ISE starts to figure out that maybe what I want to do is to collect this potions and avoid the harpies. And now we can look at a guy that has ran for 5000 games OK. And this is what it looks like. You can tell it it's smarter about its strategy. Yes. Then what happens if you run it 500000 times. Oh we got you this superhuman performance some level though notching a high score is the noblest of pursuits reinforcement learning is turned out to have all kinds of other applications. It's behind the algorithm that recommends movies and TV shows on Netflix and Amazon. It beat the world champion Go player a feat previously thought impossible for a computer . Soon it could read your brainwaves and determine whether you have a mental disorder but for sudden Oh that is just the beginning. We are trying to make real intelligence. We're trying to recreate human intelligence. Humans are examples. This is reinforcement learning is the path to what futurists call the singularity . The moment when our A.I. creations light up and surged past human level intelligence. Do you have a date for the singularity or so. It's a it's a quite broad probability distribution and the median is at 20 40 20. That is equal chance of being before or after 2040. OK. The rationale goes like this. By 2030 we'll have the hardware. So give guys like me another 10 years to figure out the algorithms the software to go with the hardware to do it . That's going to be exciting. Where are we going. If 2040 seems like a long time to wait to meet a smart robot do not fret over in the experimental wing of the university. There are coeds hard at work blurring the line between humans and machines . Are you human . Sure. Case in point homegrown Edmund Tony and genius. Cory Matthews. Tell me all this guy. A little bit. Yeah. Just right. Sure. So this is blueberry on blueberry I've deployed the improved system so there is an artificial improved system running on blueberry right now. Yes that's right. Corey does improv comedy with a robot. I've been doing improv longer than I've been doing computing science. I've been doing it for 12 years and I thought you know there's no more natural convergence than taking some of these State of the art systems and putting them up on stage one day will make it to the moon. If this planet is not to be our last. It is this the universe the sun shining on the moon and the universe as the sun was like a ventriloquist. It was like a new age. That's a really good read. A strange twist on the piece that's different is that I don't know what it will say anything that comes from the system it's generating live in the moment. Bloomberg I created you I downloaded a voice into your brain so that you could perform in front of these people. I don't know what you're gonna say either. To give blueberry the power of surreal Canadian improv Corey made use of some tech that should be familiar by now a neural network step one he feeds the network the dialogue from a bunch of movies. One hundred two thousand movies to be exact. All the movies. Every movie for 100 years. And that's just so he can learn language see how somebody responds to somebody else . That's exactly right. Yeah. It builds kind of a language model . Step two he uses reinforcement learning to train the network . Rewarding it when it makes sense and punishing it when it spits out gibberish time to put this one to be kidding the hall to the test. Start improvising . OK campers we're gonna get ready for a real baseball game. Grab your gloves and grab your baseball bats. Let's get out there especially you. FRANKLIN Of course that would not be much longer. OK. OK well why aren't you ready for the match. Not anymore. Good boy . Okay. Come on Franklin. You know how I feel about you but you got to keep your head in the game right now. He will say you do not stop here. He felt like he was friendly. I know how to teach your character. Get going to be cheeses put down the bat. FRANKLIN What are you doing . Nothing to pay for. Hey I've got nothing to hide. Look this is all I am. Okay. That's great. It works. Obviously some of the responses are a little bit weird but then it's really funny because then as you go along it did hit a couple of things perfectly and then it's like you have it it's extra hilarious because it's going blueberry may not be ready for its second city audition just yet but Corey has a higher purpose making A.I. relatable . There is fear in society of A.I. . So we are kind of humanizing this A.I. where we're taking it down a peg. We're saying don't be afraid of this tech. Look at how cute it is look at how kind of naive it is . Yes. Isn't there a flip side to that though. Then you make it cute and then people start to accept it and you know then then we wake up. I mean I don't think that will happen in my time . The singularity may be near or maybe not so near. But if the inhabitants of this oddly beautiful place keep pushing the technology they just might create something alarmingly human like one day for rich Sutton. It's not a question of whether we'll get there but whether we'll be able to accept our mechanized brethren our society will be will be challenged. You know it's just like every time you know are black people people are women people who do the same thing with robots eventually. Are they allowed to own property. Are they allowed to earn an income. Or do they have to be owned by somebody. But a role that's obviously not a person. Right . No from my last stop I returned to Toronto home to 2.8 million people one very tall tower and of course the Godfather himself inside the system. There's also little processes which are a little bit like brain cells. He may be an import but Geoff Hinton has done something truly exceptional for Toronto. He's turned the city into an A.I. Mecca where A.I. conferences like this one seem to take place daily . And we're young minds. Come to show off their ideas. Canada . If we're being honest it doesn't usually seem that intimidating . Thanks to Jack. It's got nothing less than world domination in mind. We are even more mostly thankful to Canadians for inventing all this stuff because we now use it throughout our entire business she'd never been able to record that he knows that Google owes Canada. We have no idea that was in the SEC the tech industry is full of people who had Dorie . And then also some famous types like Elon Musk and Stephen Hawking who said Well today I might be the end of us to consider such dystopia in the proper light . I've come to Toronto's geeky but George to encase myself in this steel container with George the foreskin. He's a writer for Gizmodo and an A.I. philosopher posits that's where the apocalyptic Michael Barr. What is the the Khan case around A.I. what's what's the nastiest scenario that everybody's worried about. Unfortunately there's there's no shortage of nasty scenarios and at this I think this is what makes artificial intelligence such a scary thing is all the different ways that it can go wrong. It can be everything from an accident you know where we just didn't think it through. We gave a very powerful computer instructions to do something we thought we explained it articulately we thought we gave it a concrete goal and it completely took a different path than we thought it would in such a way that it actually cost some great damage . I'm sure you've heard the old paper clip example where you're a paperclip manufacturer and you say hey we need lots of paperclips and because they're artificial intelligence has so much reach and so much power. It actually starts to go about converting all of the matter and all the molecules on the planet into paperclips for you know we've now converted the entire cosmos into paperclips. It's a crazy scenario but it's an illustrative scenario. We can't be dismissive of the perils. I think that sex exceptionally dangerous and I don't think it's too early to start raising the alarm bells about it . Being turned into Cliffy sounds awful . But fear not. We'll have years to ease into that sort of suffering has a ise steadily plucks off one job after another . The first to go of course will likely be the always screwed factory workers. Which brings us to Suzanne Gilbert a budding A.I. overlord and founder of robotics startup kindred A.I. tell me about these guys. So these are research prototypes. So that's some of the first robots we built a kindred. They tend to work with smaller robots. It's a bit like if you imagine a child growing up and it breaks a lot of things. Now imagine if the child was six feet tall when it had the brain of a 6 month old it would be terrible terribly dangerous. How many of these robots have ever slept here. I have been hit in the face by robots a couple of minutes. Suzanne it seems nice enough. She makes exotic digital art and she loves cuts to the point where she's built a robotic fleet of them for the office. This one I believe is coping but it's a quadruped robot loosely based on cat anatomy although it's not a very highly faithful representation yet. And then when you were growing up you had those things as well. Yeah that's correct. So I was really enthralled by electronics at an early age. I guess most little girls would be looking at trays of beads and things and I was looking at trays of white resistors and capacitors little components but having the same kind of reaction to them. But don't be fooled by the hobby electronics and the cute cat butts . Suzanne is a keen businesswoman and kindred has recently embarked on its first commercial venture what's going on here is that we have a bank of robots that are learning so they are continuously running picking up objects. These would run all day all day all night . Powered by a neural network these arms can do something that's very easy for a human but very hard for a bot. Pick up objects of different shapes and put them down. Most factories still use people to do that sort of thing. Lots and lots of people today everyone's shopping in e-commerce. Thousands and thousands of different types of objects shapes textures weights. How do you pick it up. Right humans who have millions of humans in warehouses just like things are putting it into a location. So we're teaching a robust how to do that. What's the hard part is figuring out what's a belt what's a shirt. Or it's just how to grasp it. Yeah exactly. It's very hard to pick it up right . So things are sharp in any shape right and you've got to figure out how to pick it up without dropping it put it in the location and so takes like train. Part of that training involves of all things humans robot pilots who manually control the arms while the A.I. watches and learns the finer points of gravity . Remember teach me how to have a seat . So you see a 3D mouse here this lets you navigate the arm through three dimensional space. So imagine you're holding the arm in that left hand and just moving it around slowly intently. Hey get the Oreos. I'm gonna go oh shit I went too far . Why these Oreos hillbillies come back to me. Their success . Okay. Basically you actually get the wins of just down the hall. Kindred keeps a room full of pilots doing the same thing as me. Only these guys are actually competent they're remotely overseeing some arms and a gap factory a thousand miles away in Tennessee. How long have you been a robot pilot. Just over a month actually I've only been here five weeks. What was that training process like almost playing a videogame. It's like a shirt gone that's a backpack that's backpack somebodies is this is the one trade at a time is the arms observed their human guides. They gradually learn how to do better at picking up T-shirts and shoeboxes. Eventually they'll be fully autonomous inside. Services will no longer be required. One day. This is just going to light up and it's going to be picking objects. Pretty pretty much that's that's the ultimate end goal for at least for these to have it just constantly were in go and the people will be free the people will be free to do other more important things. So you seem kind of happy about the prospect of unemployment but I was concerned for his future . There something grim about the human training there. Yeah it's not good to take people's jobs away. But this kind of technology coming into the workforce should make us stop thinking about how we're going to pay people in the future because A.I. is not just going to automate you know manual labor jobs it's going to automate things like doctors and lawyers and accountants very soon. So I think there's going to be issues . It's going to be a lot of disruption when these things come online . Suzanne is a realist but she's also an optimist in her vision of the future robots won't be mindless competitors to humanity. They'll be full fledged citizens like the rest of us. What are the crazy ideas you talk about. You've got a robot and it's working in a factory. But it's got go. Maybe it gets paid a wage that it goes to buy lithium ion batteries to keep it going. Why would that have to happen. I mean you're having a physical body they will have a lot of physical needs . Just like we have you might have to go to the repair shop to get like a motor look . How about something like that and they'll have to pay someone to do that. I think they'll just be contributing to our economy in the same way we did . And if they have brains like us they'll want to explore new things I've never seen before they'll want to learn things they'll want to perhaps rest so that their mind has time to consolidate all this new information. Try to picture what does the robot worker. Go home and sit on the couch watch TV after work. I don't see why not watch cat videos. I. It's hard to tell sometimes if Suzanne is laughing with us Paradis but she's not alone in her cautious optimism for the future. I think there's always a sense that technology can be either used for good or used for bad. I'm reassured that Canada is part of it in terms of trying to set us on the right path . On the whole being responsible and thoughtful about the power we're gaining I research and learning is the right trend line . And I don't think a ise automatically doomed to some dystopian outcome . We're told the politicians will come up with policies that address massive job loss and prevent horrific inequality between the classes and we're told that these guys will take so long to become human like that we need not be afraid for a while . The truth though is that we're turning ourselves over to the unknown here. So you know fingers crossed . Eventually I think we will become the ISE we will become the intelligent machines. We will understand how things can be smart and we can deliberately create them . So it's you might think of it as making a new generation new kinds of people then he is continuing to evolve. And why wouldn't enhanced people or even design people feel it's the next step in humanity . It's really hard to predict future I think there's gonna be all sorts of things happen. We didn't expect but there's one thing we cannot predict. This technology is going to change everything. Goodbye. Goodbye. Goodbye . Goodbye. Once I power you down. That's it. I never see you again . That's right . I'll end it right there. Good. I was getting deep .

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Hello World Canada: The Rise of AI

Bloomberg Businessweek presents an exclusive premiere of the latest episode of "Hello World," the tech-travel show hosted by journalist and best-selling author Ashlee Vance and watched by millions of people around the globe. There's an AI revolution sweeping across the world. Yet few people know the real story about where this technology came from and why it suddenly took off. In this ground-breaking episode of "Hello World," the story of AI's rise is told in detail for the first time, as journalist Ashlee Vance heads to the unexpected birthplace of the technology, Canada. (Source: Bloomberg)