YouSaid · the spoken record

Ken Washington

lines on the record: 99
first: 2019-04-17
most recent: 2019-04-17
sittings or episodes: 1
sources: podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

“Exactly right. Things like that. Exactly right. So it starts with building the trust of the owner to feel good enough about how you're going to care for their data that they're willing to give you access to it. And our experience is that trust and that willingness will happen when you can offer something in exchange for that that's a value. And then when you don't break that trust. And so trust is really hard to gain and it's really easy to lose. And so we're being very intentional about how we're caring for the data that we have managed people.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, that's right. And that's why you have to be very intentional about how you treat data and how you treat both the collection and the diversity of data and the care of that data.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Good, and so and then the AI software is getting very good, so we can do more than just lane keeping. You can do lane centering, lane following, the kind of thing that's been available for that West Coast Batter Electric Company for a while. But that's now rolling out very at scale.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“That's right. So you can make the experience safer. We can also, we're also working on the next step in driver assistance technology because it's going to be a gradual rollout before you have fully autonomous vehicles. And by the way, fully autonomous vehicles are not going to be the kind of technology you're going to go out to your dealer or even to a showroom and buy a personally owned autonomous vehicle anytime soon. They're extremely expensive because of the sensor suite and the kind of compute that's integrated into the vehicle. But the kind of technology we can increasingly put on the vehicle can give you really great driver assist technology experiences because we can now put the kind of sensors that similar to the ones that we put on our self-driving cars just without a prior map and without LIDAR radar is getting really good camera technology is getting extremely”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“It's a great example of the use of image recognition To improve the manufacturing process. And there are many other examples. The point is that we're embedding AI as a core competence to enable us to make cars better, but to make the experience of owning a car better, and also driving a car more safely and more smartly in addition to self-driving car.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yes, it's actually a hard problem. We had people. We literally had people looking at seats going, yep, that one's wrinkle, send it back. Nope, that one's not, right? And so now we have that company deploying AI to do quality inspection, improving the quality of our inspection and manufacturing process using image recognition and AI.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“An example is out of our Silicon Valley lab, and by the way, I don't know if the audience knows that we have a presence in Silicon Valley, and it's been a huge benefit to us because we've met over a thousand startups. And of those 1,000 startups, one that we met is an AI company that actually was using AI to detect flaws for a totally another industry. And we even talk to them and says, you know what, one of the really hard problems we have is finding flaws in the quality of wrinkles on seats when we make them. I mean, it sounds really silly, but it turns out it's a hard problem.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Exactly. And imagine that'll work site if you're driving a truck or a commercial vehicle, how it could be an assistant to you. So look, I think there are lots of opportunities here to stitch AI into a vehicle. But one other thing is we're also using AI to help us make the vehicle's higher quality.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“The grudge lights ought to come on, and I should unlock the door, but only if you wanted to, you could say don't unlock the door, unlock the door. So it should just be seamless and frictionless because you've got this rolling computer that's got AI in it with all these sensors on it. Oh, and another thing is, why can't this vehicle serve you in other ways if it's in your life? Let's say it could be a sentinel for you. Turn on the lights and warn you if somebody comes around your home.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I think we should think more broadly about how the future smart AI-enabled vehicle will interact with the rest of the smart world around us. I love tinkering with technology in my home. So my home has all these smart sensors on it. Well, in five years, your car that's got AI in it, it's going to interact with your home that's got AI in it. And so when you pull up to your home, the garage door ought to open and when you...”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“It knows that you don't like this kind of music, you like this kind of music, and you like the temperature set to 72 or 71. And so AI can totally change how we think about delivering an experience that's curated for you.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“And everyone's going to want a personalized experience, right? So think about when you first bought how many have an Alexa device or some kind of smart home device. If you have a smart home device, you start to interact with it and it gets to kind of know you and you can actually train your voice on it. And well, why should your car have that same kind of interaction with you? So we're thinking about building AI into our vehicles so that it can be personalized, so that it can be a better experience for you so that when you get in your vehicle, it's your sort of oasis of, you know, it's yours, right? And even if you don't own it, if you get into a vehicle that's shared, there's no reason why that shared vehicle can't know who you are too, because you got your smartphone with you. It knows you got in. It's got all the data in the cloud. And so it should be able to say, oh, hey, Kara, I see you're going on a shared ride or you're on a lift or an Uber ride.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I'm actually glad you said that. And the reason I'm glad you said that is the reason these cards are beeping at you and doing all that stuff is we've done a terrible job of designing the human experience in the vehicle. And we've learned that we've got to take a step back and start thinking about that differently. Starting”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“How does that look at? You talk about sort of five, ten, twenty years. Like right now, I've got a car that beeps at me going backwards and I can see the backwards. It beeps at me when I don't have it. It just beeps at me when I have belt on. Not very assistant. It's an irritating person, really.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You need to have assistance. And we know that we can provide more and more driver assistance because the technology is getting cheaper, sensors are getting smaller, compute is getting faster, memory is getting more. How does that look at talk about?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You're not alone. I mean, we're all flawed humans when it comes to driving, and because this is actually not that easy to be a great driver.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Well, because humans aren't very good at driving. I mean, you know, most people are worse drivers than they think they are.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Owning them Yeah, I think that's right. You know, we think of ourselves as a mobility company, which includes being both a car maker and also a company that has an AI core competency. We have to have an AI core competency, not only because you need AI in order to pull off this self-driving task, but in parallel to slowly and gradually rolling out fully self-driving vehicles to a small set of cities, we're going to keep putting more and more AI into the vehicles that people are buying and leasing and renting and using. And why is that?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You may see some earlier ones in 2020, but we believe that taking the time to work with the cities to design the business right so that when you show up, you make it better instead of making it worse. Because, I mean, look, this is an optimization problem. If you just put a bunch of autonomous vehicles in a city without designing it to make life better in that city, you're going to have an analogous problem to what happened when Ubers first started showing up. People hated them because they were like, you know, camping out on the corners and they made congestion worse and it created additional pollution. We're going to go into these cities and work to design the solution so it makes the experience better. And so we're going to take 2020 to finish that process and then go in 2021. I think that's going to be the beginning of this slow deployment.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, it's going to be kind of like that. And it's going to be kind of like when the internet rolled out, everybody didn't just suddenly jump on the internet, right? You know, when cell phones came out, you know, you had people walking around with bricks on their shoulder and every once in a while, you know, somebody would show up with one. And I think it's going to be kind of like that. You're going to see some of the easy cities have programs like Miami and Washington in the case of Ford and our competitors have picked their cities. And so you're going to see self-driving cars roll out in fleet deployments. For both people movement and package delivery in those easy urban environments that are easy to work with. And you're going to start seeing that in 2021”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I want to get back to AI on the bigger question of where AI fits into it, but what would you say if you had estimated, and I know you probably hate this question, when will you see a shift completely from human driving? Because I think we can all agree humans are the problem here, driving people, humans driving is the issue. And one person told me very interesting, and I thought it was really smart where he stuck with me, was when an autonomous vehicle makes, has an accident or has a problem, all the others learn through AI and other technologies. When a human makes a problem, they make it again, like I did the other day when I just hit a car. So I've done that many times. And so I talk about that, like when do you imagine it rolling out?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“The DARPA challenge is a Department of Defense. DARPA stands for the Defense Agency Research Projects Agency, and they every year put out a big difficult challenge out to the technical community. And it's usually something that they think is too hard to solve. And they pour a bunch of money on it and they say, what teams can come in here and give us a solution to this problem? And usually they're so hard that nobody solves the problem. But you learn a ton. And sometimes in the case of self-driving cars, it sparks an entire industry. And so the very first DARPA challenge was they asked, they put out the challenge of building a self-driving car. Of course, nobody knew how to do that at the time. And so Ford was the only automaker that participated in that first challenge. In fact, we bought the first Veladine LiDAR and bolted it on the top of an F250. And of course, we didn't succeed in the trial and nobody else did.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Not you then, but Ford was the only automaker participating in the first DARPA challenge. We just didn't go in with our name.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“That haven't captured a 3D map are not self driving vehicles. Let me just really emphasize that. They're consumer vehicles with really good driver assist technology. So, some West Coast companies that sell really great electric vehicles, I won't name them. They're really great driver-sys technology vehicles, but they're not self-driving vehicles, right? Because if you, in fact, you can prove that because you can Google and find out that they've been tricked and they do all kinds of crazy things because you put things in the environment that they don't understand. Or when the line markings are covered with dirt or gravel or snow, they don't work. And, you know, so I could go on and on. But the point is you got to have a prior map. You got to have advanced. No, that's not the point. No, seriously, that's not the point. The point is you got to be clear about the fact that self-driving involves a lot of complex technology and you've got to approach the problem with that kind of seriousness. And Ford's not the only company doing it that way, but we are doing it.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Take off the park cars and things that could move because it wants to know what won't move. And so when the car is then self-driving in that region, the LiDARs operate again and then they make a comparison of what was there statically and what do I see now. And if something is there that wasn't there when you were mapping it, that means it could move. It could be a kid on a bike. It could be another person. It could be a pedestrian. It could be another car. It could be a dog. And so the task of, first of all, knowing that these are things that you need to know about, you need to predict them. You need to know their trajectory. If you don't have that prior map, you're relying on in real time detecting everything that might happen. And that's just too hard of a problem. That's why these vehicles that don't have LIDAR, that don't have advanced radar.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, so this is a really important point, and it's really important to know that a self driving car has to operate in a region that you have fully mapped. And this is not your navigation map, the kind of map that you would use on your cell phone and you pull out and you do a Google map or an Apple map. This is a map that is developed by driving the space with an autonomous vehicle that's got light detection and enranging sensors on it or LIDAR for short. It's actually shooting light beams out in three dimensions off of the roof of the vehicle if that's where you've got your LIDARs mounted and it's receiving the light back and it's then capturing these points and creating a 3D image of what the world looks like. And then the vehicle uses that static image of what the world looks like and it does some fancy footwork to”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So, when you think about the other part of the AIs, it's also mapping. It's also understanding cities and geographies. We're having code in Arizona and we want to take people to this one area, but they don't have it mapped at all, like in autonomous vehicles. And so they can't really do any, there's also, you know, there's no sensors in the roads. In some places, they're putting sensors in roads to be able to do that. There's all kinds of ways to do that. But they hadn't had enough AI technology deployed there to understand.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Absolutely. You could use it for customizing parts because imagine that the owner of an autonomous vehicle fleet and you're entering into a ride service. What if you wanted to make your autonomous vehicles customized for your service You know, you could actually design a customized part that would have an emblem with your company name on it, and you print that part and put it onto the vehicle. It's a great example of using AI together with a new technology like 3D printing, together with the real opportunity to provide a new service to society. A lot of technologies clashing together to create new opportunities.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So you give it the parameters and you tell it what engineering constraints it has to meet. It has to be so strong. It has to have this property, has to have this size. And then the AI will actually go in and say, well, it needs to have material here and here and here. But it doesn't need to have it here, so it can lightweight the vehicle and it can ensure that it's going to have the right properties and the right strength. And then you can send that to a 3D printer and it will make the part.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So let me give you an example. So, one of the things that we've begun to work with in the AI spaces with 3D printing and designing differently, when you can 3D print certain parts and certain components on a vehicle, you can design the part to look any way you want because you can print things that you couldn't forge or you couldn't make with some other method. So there are AI enabled engineering tools that will design the part in the same way that nature would. It's called generative design. And so we're working with some of the companies that are forefront of this technology to do generative design of some parts that we may end up putting on our”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You're going to have to hail the vehicle. It's going to have to know that, oh, that's you that just hail the vehicle. And how do I know that it's not the person that's walking behind you and it's going to hop in the car instead? So there are all kinds of challenges associated with having a way to interact with the person that's going to get in and take the ride. And so there's design challenges. And one of the things that we've been thinking about and actually implementing with AI is using AI inside of our engineering team to help us do the design of the vehicle itself so that we can optimize the solution to some of these challenges.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Well, there are many layers to that challenge. So the first one is that I'll talk about is the challenge of getting the software to integrate into the hardware because there are many ways you could do that. And so we've learned through experience that the best way to do that is to design the hardware to have an abstraction layer. That is, don't design the software in the middle of the vehicle hardware. Make it so that the software team can just work on the software. And then the hardware team can define well-defined interfaces so that the software can then integrate in with the vehicle. So that's just one of the first challenges. But the actual design of the vehicle itself is not trivial because the self-driving car is going to have a different interaction experience with the human that's going to use the vehicle. When you ride in a self-driving vehicle, you're going to have a different way of approaching the vehicle.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“For so many other reasons, but this one is really stupid. This is a particularly stupid thing to say. So talk about that. Like, how do you integrate these physical objects, a car, which could be made of anything going forward, and the AI together? What is the challenge of that?”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Which is congestion Yeah, but I've driven with my mother, so I've already passed that test. I take a self-driving vehicle any day of the week and twice on Sunday. Talk about the AI elements, because people don't realize it's both making the car and putting the AI elements. AI is pulling in so much data, pulling in and understanding it. And then there's the sensors part of it and the radar. There's several different pieces of it. The car making is a really important part that people, I think, don't realize. And there's all kinds of different kinds of cars being made now. But I remember being struck by someone at Uber many years ago telling me, ugh, this self-driving thing is going to be easy. Car making is trivial. And I was like, you're an idiot.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Level four autonomous vehicle, a self driving car that's going to operate without a person behind the steering wheel, and you're going to put your loved ones in this vehicle and you're going to trust that this vehicle is going to take them where they want to go. It's a really hard problem. Yeah, but I've drive driven.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So, Miami was our first pick because of the fairly large city and it had a fairly diverse population. That was really important to us. We wanted to work with a city that had a really favorable political climate while also a really favorable really had a need, right? And so we started talking with the city and that we realized that we actually could have a good relationship with the city and they had a real need for us to solve a pain point in the city, which is congestion. And it's congestion. And there were a lot of underserved communities that didn't even own a car and had no way to get to work. And it was a multilingual city. And so we knew that you had to solve the diversity challenge and meet that challenge to be effective at scale. So it was a really ideal city for us. And also it's a place that has really good weather. We didn't want to take on too big of a problem at first because, look,”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“So, where we are right now, and the reason you don't see those kind of cars on a rail today is that I think Google and a lot of other tech companies, many of them out of Silicon Valley, have realized just how hard it is to make the car part. And so where we are right now is we have basically a software company that was a startup. It was founded by one of the ex-Googley.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Then they had their clown car, which had, which I drove and I tried to run over the head of Waymo, but it didn't work. It had no steering wheel. It had no pedals. It was like a Disney ride, essentially. Like you got in and I just was texting and drinking the whole time. And no, I wasn't. No, but it was just a Disney like I was on a ride at Disney World. And between that, there's something else going on. So talk about where we are in that.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“From what I, in my experience, I've been in a lot of these cars, the original Google ones that were before Waymo, I guess, were people who are sitting in a car that's been tricked up, a car that's not built specifically to be autonomous, which means they took a regular car and stuck stuff all over it, which you all, everybody.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Without a driver in the front, and the state that we're in today is still a development activity. And so we still use safety drivers. In the driver's seat”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Right, so talk about the challenges. What are the challenges faced right now by getting to that level of, I guess it's full autonomy? There's all kinds of different ways people discuss it, but the full autonomy where you get it, you call something, it comes to you efficiently, and then you take it somewhere.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“And hopefully no one in this room believes that the AI part of the problem has been completely solved. And you can't even review resumes with AI and not screw it up. So getting the AI right in a vehicle is really hard. And it involves a lot of testing and a lot of validation, a lot of data gathering. But most importantly, the AI that we put into our autonomous vehicles is not just machine learning. You don't just throw a bunch of data and teach deep neural network how to drive. You build a lot of sophisticated algorithms around that machine learning. And then you also do a lot of complex integration in with the vehicle itself.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Let me just clarify that. So it's a term that's often really misused and misunderstood. When you're talking about autonomous vehicles, particularly in urban cities where you predict 90% of people are going to live, what you really have to think about is an autonomous vehicle that can truly sense the environment completely and can truly take the human out of the loop. And so that's a level four autonomous vehicle. And even that level four autonomous vehicle that can operate in this urban environment, it's going to have some boundaries around it. So it's going to have to have the ability to operate in the city that it's seen before. So it has to have been mapped. There are going to be weather restrictions on it, at least with today's technology. And there are going to be speed restrictions because the sensors aren't perfect.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“Like 90%. So those other 10% can have their cars. It's fine, but it's just what happens when there's population. So talk about where we are and how AI fits into the idea of where we are with autonomous. Let's start with autonomous vehicles. And these are, we're right in several stages, right? Three, four, five. We're in three now, which is...”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I wasn't talking about car ownership. I was talking about I was talking about car ownership, not car driving in. I will continue to drive and move in mobile vehicles depending on, but it was the car ownership and it's an idea of ownership just the way we owned entertainment before. Now we really don't, just the way we own records, we own this. It's the same concept, is that this is one that's moving in, and especially in urban areas where I think 90% of the population is going to be in a megapolis over the next 25 years.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“First, I just want to say I think you definitely got people's attention with the article. Yeah. You know, I think the response was a reflection of the fact that people love cars. And some people hate cars. But everyone needs to move around. And what autonomous vehicles has done for us is given us the potential and the promise of a new way of moving around and a new way of creating mobility and a new way of solving real pain points in cities. And what I loved about your article was it really shined a light on the fact that in urban centers where you really need a different model that now this new model is beginning to emerge.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“You can choose what kind of activity you want to do in your own car because it's your car. Right. If you've given us access to that data because we're going to offer you some service, we have the responsibility to not share that with other people or use it for any other purpose. If you're going to work with us, we have to agree how you're going to treat the data of our customers. Because if it's a customer that's on our car, they're our customer.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“This is a map that's developed by driving the space with an autonomous vehicle. If you don't have that prior map, you're relying on in real time detecting everything that might happen. And that's just too hard of a problem.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT
“I'm Kara Swisher, editor at large of Recode. You may know me as someone who drives around San Francisco like Steve McQueen, but in my spare time I talk tech and you're listening to Rico Decode from the Vox Media Podcast Network. Today in the red chair is Ken Washington, the CTO of Ford Motor Company. He's also the company's vice president of research and advanced engineering. Washington says that anything we're going to call a self-driving car has to have a 3D map of its environment everywhere it goes.”
2019-04-17 · Decoder with Nilay Patel · Recode Decode: Ford CTO Ken Washington · IDENTIFIED FROM THE TRANSCRIPT