YouSaid · the spoken record

Ayanna Howard

lines on the record: 104
first: 2020-01-17
most recent: 2020-01-17
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

“I mean, I loved robotics from the beginning. Yeah, so that was a 12-year-old. Like, I'm going to be a roboticist. Actually, I called it Cybernetics. So my.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Think it was the precision, it was the kind of first time that I had physically seen this robot machine human interface, right? Versus, because manufacturing had been, you saw those kind of big robots, right? But this was like, oh, this is. A person. There's a person and a robot, like in the same space”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, it was remote operation. In fact, you can even find some old tech reports on it. So think of it, you know, like now we have DaVinci, right? Like think of it, but these were like the late 90s, right? And I remember going into the lab one day and I was like, what's that? Right. And of course, it wasn't pretty, right? Because the technology, but it was like functional and you had this individual that could use version of haptics to actually do the surgery and they had this mock-up of a human face and like the eyeballs and you can see this little drill. And I was like, oh, that is so cool. That one I vividly remember because it was so outside of my possible thoughts of what could be done”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so one of my first memories was Was they were working on a surgical robot system that could do eye surgery, right? And this was back in, oh my gosh, it must have been. Oh, maybe ninety two ninety three, ninety four.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“I still think that, and again, because I do human robot interaction, I still think the human needs to be part of the equation at some point.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“But what that means is that when we design software such as in Space Odyssey, when we put things out, that there has to be a fail-safe. There has to be the ability that once it's out there, we can grade it as an F and it fails and it doesn't continue, right? There's some way that it can be brought in and removed and that's aspect because that's what happened with Hal. It was like assumptions were wrong. It was perfectly correct based on those assumptions and there was no way to change it, change the assumptions at all.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“If you think about what happened, there was no fail safe, right? So perfection, right? Like, what is that? I'm going to make something that I think is perfect, but if my assumptions are wrong, it'll be perfect based on the wrong assumptions, right? That's something that you don't know until you deploy and then you're like, oh yeah, messed out.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“The polarization. And it's not just US, right? So if it was just US, I'd be like, yeah, it's a US thing, but we're seeing it like worldwide, this polarization. And so I worry about that. But I do fundamentally believe that at the end of the day, people are good, right? And why do I say that? Because anytime there's a scenario where people are in danger, and I will use, so Atlanta, we had Snow Magedden, and people can laugh about that. People at the time, so the city closed for, you know, little snow, but it was ice and the city closed down. But you had people opening up their homes and saying, hey, you have nowhere to go. Come to my house, right? Hotels were just saying like sleep on the floor, like places like, you know, the grocery stores were like, hey, here's food. There was no like, oh, how much are you going to pay me? It was like this such a community. And like people who didn't know each other, strangers were just like, can I give you a ride home? And that was a point I was like, you know what? Like.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Think so. So I'm an optimist, right? And there were some dark times in history always. I think now we're in one of those dark times. I truly do.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“But I think, and so some of it, and I wish that there was a little bit of change of rethinking. So, some of it is like, oh, we'll fix it in house. No, that's like, okay, I'm a fox and I am going to watch these hens because I think it's a problem that foxes eat hens. No, right? Like Use, like, be good citizens and say, look, we have a problem. And we are willing to open ourselves up for others to come in and look at it and not try to fix it in-house. Because if you fix it in-house, there's conflict of interest. If I find something, I'm probably going to want to fix it and hopefully the media won't pick it up, right? And that then causes this distrust because someone inside is going to be mad at you and go out and talk. We have this issue community, help us fix it, and we will give you like, you know, the bug finder fee if you do”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so I think there's a couple of things going on, right? First off, remember this whole aspect of we are becoming reliant on technology or also becoming reliant on a lot of these apps and the resources that are provided. So some of it is kind of anger. Like I need you and you're not working for me, right?”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah. Yes, security bug. You know, let's put it like we will give the whatever the award is that we give for the people who find these security holes. Find an ethics hole, right? Like find an unfairness hole. And we will pay you X for each one you find. I mean, why can't they do that? One, it's a win win. They show that they're concerned about it, that this is important, and they don't have to necessarily dedicate their own internal resources. And it also means that everyone who has like their own bias lens, like I'm interested in age. And so I'll find the ones based on age and I'm interested in gender, right? Which means that you get like all of these different perspectives.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Is I'm going to poke a little bit at some of the corporations, right? Like maybe the corporations, when they think about a product, they should, instead of, in addition to hiring these, you know bug they give these”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So, I think there's two paths. One is to figure out how to systematically do the feedback and corrections. So right now it's ad hoc, right? It's a researcher identify some outcomes that are not don't seem to be fair, right? They publish it, they write about it, and the either the developer or the companies that have adopted the algorithms may try to fix it, right? And so it's really ad hoc and it's not systematic. It's just, it's kind of like, I'm a researcher. That seems like an interesting problem, which means that there's a whole lot out there that's not being looked at, right? Because it's kind of researcher driven. And I don't necessarily have a solution, but that process, I think, could be done a little bit better.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“There's people that are human, that are going to be at the end of the decision. And I don't think as a world, as a culture, as a society, that we would totally believe, and this is us, like this is some fallacy about us, but we need to see that leader, that person as human. And most people don't realize that leaders have a whole lot of advice, right? Like when they say something, it's not that they woke up. Well, usually they don't wake up in the morning and be like, I have a brilliant idea, right? It's usually a, okay, let me listen. I have a brilliant idea, but let me get a little bit of feedback on this. Like, okay. And then it's a, yeah, that was an awesome idea. Or it's like, yeah, let me go back.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So I mentioned, and I truly believe that this whole world of AI is in partnerships with people. And so what does that mean? I don't believe, or maybe I just don't believe that we should have an AI for president, but I do believe that a president should use AI as an advisor, right? Like if you think about it, every president has a cabinet of individuals that have different expertise that they should listen to, right? Like that's kind of what we do. And you put smart people with smart expertise around certain issues and you listen. I don't see why AI can't function as one of those smart individuals giving input. So maybe there's an AI on healthcare. Maybe there's an AI on education and, right? Like all these things that a human is processing, right? At the end of the day.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“As long as both sides, the developers, are willing to say, okay, I hear you. Yes, we are going to improve and you have other developers who are like, you know, hey, AI, it's wrong, but I love it, right?”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Here it is. We've identified it, and then the next step is to fix it. I mean, that's a nice feedback loop versus like waiting for someone to sue someone else before it's fixed, right? And so I think that power, we need to capitalize on a little bit more, right? Instead of having the sensational titles, have the, okay, this is a problem and this is how we're fixing it and people are putting money to fix it because we can make it better. I look at like facial recognition, how joy she basically called out a couple of companies and said, hey, and most of them were like, oh, embarrassment. And the next time it had been fixed, right? It had been fixed better, right? And then it was like, oh, here's some more issues. And I think that conversation then moves that needle to having much more fair and unbiased and ethical aspects.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“And one of the things I think that we don't get enough credit for just in terms of as developers is that you can now poke at it, right? So it's harder to say, you know, is this hospital, is this city doing something, right? Until someone brings in a civil case, right? Well, with AI, it can process through all this data and say, hey, yes, there's some an issue here.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Let's say, and so this is a problem, right? And so there's this thing about, oh, AI, it has all these problems. We're doing it on historical data and the outcomes are uneven based on gender or ethnicity or age. But I'm always saying it's like, yes, we need to do better, right? We need to do better. It is our duty to do better. The worst AI is still better than us. Like, like you take the best of us and we're still worse than the worst AI, at least in terms of these things. And that's actually not discussed. Right, and so I think, and that's why the sensational title, right? And so it's like, so then you can have individuals go like, oh, we don't need to use this AI. I'm like, oh, no, no, no, no. I want the AI instead of the doctors that provided that data because it's still better than that.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“And so you looked at it, and so there was data that these researchers had collected, I believe, I want to say it was either science or nature. It just was just published, but they didn't have the sensational title. It was like the media. And so they had looked at demographics, I believe, between black and white women, right? And they showed that there was a discrepancy in the outcomes, right? And so, and it was tied to ethnicity, tied to race. The piece that the researchers did actually went through the whole analysis. But of course.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. And so the decisions, and you can look at everything from the whole aspect of predictive policing, criminal recidivism, there was a recent paper that had the healthcare algorithms, which had a kind of a sensational titles. I'm not pro-sensationalism in titles. But again, you read it, right? Make sure you read it, but I'm like really, you could have.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so you actually said something. You had said how we have biases, but hopefully we learn from them and we become better. And so that's where we are now, right? So the data that we're collecting is historic. So it's based on these things when we knew it was bad to discriminate, but that's the data we have. And we're trying to fix it now, but we're fixing it based on the data that was used in the first place.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Height and weight is slightly different than guys. So, who are you going to choose? Like, if you're not thinking about it from the beginning as, you know, okay, when I design this and I look at the algorithms and I design the control system and the forces and the torques, if you're not thinking about, well, you have different types of body structure. Going to design to, you know, what you're used to. Oh, this fits all the folks in my lab, right?”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So I think about quite a bit the medical domain, just because historically, right, the healthcare domain has had these biases, typically based on gender and ethnicity, primarily a little on age, but not so much. You know, historically, if you think about FDA and drug trials, it's harder to find women that aren't childbearing. And so you may not test on drugs at the same level. Right. So there's these things. And so if you think about robotics, right, something as simple as I like to design an exoskeleton, right? What should the material be? What should the weight be? What should the form factor be? Who are you going to design it around? I will say that in the US, you know, women average.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So this is a gray area, right? Because you know that, you know, teenagers are more likely to be in accidents. And so there's actually some data to it. But then if you take that same example and you say, well, I'm going to make the insurance higher for an area of Boston because there's a lot of accidents. And then they find out that that's correlated with socioeconomics. Well, then it becomes a problem, right? Like that is not acceptable. But yet the teenager, which is age. It's against age. It is, right?”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Cool questions. So, I always like, so there's a funny one. And in fact, I think it might be in the paper because I think I talk about self-driving cars. But think about this. We for teenagers, right, typically insurance companies charge quite a bit of money if you have a teenage driver. So you could say that's an age bias, right? But no one will claim, I mean, parents will be grumpy, but no one. Really says that that's not fair. That's interesting.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Is the negative, right? So precious is that not only are you aware of your bias, but you are then taken and have a negative outcome. Even though you are aware.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So bias is this, and so bias, which is different than prejudice. So bias is that we all have these preconceived notions about particular, everything from particular groups to habits to identity, right? So we have these predispositions. And so when we address a problem, we look at a problem, make a decision, those preconceived notions might affect our outputs, our outcomes.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So, because I do a lot of work with healthcare robotics, I have not lost a patient, for example. The first one's always the hardest, right? They really teach the value right, so they teach responsibility, but they also teach the value. Saving $40,000. But in order to really feel good about that, when you come to a decision, you have to be able to say at the end, I did all that I could possibly do, right? Versus a, well, I just picked the first widget, right? Like, so every decision is actually thought through. It's not a habit. It's not a, let me just take the best algorithm that my friend gave me, right? It's a, is this it? This, this, the best? Have I done my best to do good? Right. And so.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“The medical schools, right? Great gift, great responsibility. I think if we just change the messaging a little, great gift being a developer, great responsibility. And this is how you combine those.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Don't even think of it as a burden if we train this concept correctly from the beginning. And I use, and not to say that coding is like being a medical doctor, but think about it. Medical doctors, if they've been in situations where their patient didn't survive, right? Do they give up and go away? No, every time they come in, they know that there might be a possibility that this patient might not survive. And so when they approach every decision, like that's in their back of their head. And so why isn't that we aren't teaching, and those are tools though, right? They're given some of the tools to address that so that they don't go crazy. But we don't give those tools so that it does feel like a burden versus something of, I have a great gift and I can do great, awesome good, but with it comes great responsibility. I mean, that's what we teach in terms of you think about.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay, is that acceptable or not? Right, like that's how you typically think about as a developer, and you're just assume that it's going to go to another process and they're going to test it out. But I think we need to go back to those early days when you're a developer, you're developing. There should be like this a, you know, okay, let me look at the ethical outcomes of this because there isn't a second testing ethical testers, right? It's you. We did it back in the early coding days. I think that's where we are with respect to ethics. Like, let's go back to what was good practices only because we were just developing the field.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Everyone. So think about I'm gonna age myself, but I remember when we didn't have like testers, right? And so what did you do as a developer? You had to test your own code, right? Like you had to go through all the cases and figure it out. And, you know, and then they realized that, you know, like we probably need to have testing because we're not getting all the things. And so from there, what happens is like most developers, they do a little bit of testing, but it's usually like, okay, did my compiler bug out? Let me look at the warnings.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“The whole aspect of ethics in our community is so important, right? Like because it's true if you think about it, you can basically say, I'm not going to work on weaponized AI, right? Like people can say that's not what I'm going to do. But yet you are programming algorithms that might be used in healthcare algorithms that might decide whether this person should get this medication or not. And they don't and they die. Okay, so That is your responsibility, right? And if you're not conscious and aware that you do have that power when you're coding and things like that, I think that's just not a good thing. Like we need to think about this responsibility as we program robots and computing devices much more than”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Right, so it will be robotics algorithms that are no, it will be robotic algorithms don't kill people, developers of robotic algorithms kill people, right? I mean, one of the things that people are still in the loop and Least in the near and midterm, I think people will still be in the loop at some point, even if it's a developer. Like we're not necessarily at the stage where, you know, robots are programming autonomous robots with different behaviors quite yet.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Right. They move into. So right now you have a self-selection bias, right? Like individuals will move into this neighborhood knowing like this is part of like the real estate pitch, right? And so I think that's a way to do a shortcut. One, it allows you to deploy it allows you to collect then data with these variances and anomalies because people are still people, but it's a safer space and is more of an accepting space. i.e. when something in that space might happen because things do because you already have the self-selection like people would be I think a little more forgiving than other places”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So, I think the shortcut is, and I kind of talk about it as a fixed space, where, so imagine that there is a neighborhood that's a new smart city or a new neighborhood that says, you know what, we are going to design this new city based on supporting self-driving cars and then doing things knowing that there's anomalies, knowing that people are like this, right? And designing it based on that assumption that like we're going to have this, that would be an example of a shortcut. So you still have people, but you do very specific things to try to minimize the noise a little bit as an example.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Blah blah blah so on, or even cities, right? Like if you're in Boston, how people cross the street, like lights are not an issue versus other places where people will actually wait for the crosswalk. Seattle or somewhere peaceful.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“When you're next to that car that has that big sticker called student driver, right? Like you are like, oh, either I'm going to like go around. Like we are, we know that that person is just going to make mistakes that make no sense, right? How do you map that information? Or if I'm in a car and I look over and I see two fairly young looking individuals and there's no student driver bumper and I see them chit-chatting to each other, I'm like, oh, that's an issue, right? So how do you get that kind of information and that experience? Into basically an autopilot.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“I'm just hypersensitive because I design this stuff. So there is a target demographic that will swing. The other one, though, is you still have these humans that are on the road. That one is a harder thing to do. And as long as we have people that are on the same streets, that's going to be the big issue. And it's just because you can't possibly, I want to say, you can't possibly map some of the silliness of human drivers, right? Like, as an example.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Okay, so one is the human, and I think there will be a group of individuals that will swing, right? I just. It? I mean, it'll be adults. There's actually an age demographic that's optimal for technology adoption. And you can actually find them. And they're actually pretty easy to find just based on their habits, based on, so if someone like me who wasn't a roboticist would probably be the optimal kind of person, right? Early adopter, okay with technology, very comfortable and not hypersensitive, right?”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Scary proposition, but that's people, right? That's humans. I mean, I think of even our use of, I mean, just everything on the internet, right? Like, think about how reliant we are on certain apps and certain engines, right? 20 years ago, people have been like, oh, yeah, that's stupid. Like, that makes no sense. Like, of course, that's false. Like now it's just like, oh, of course, I've been using it. It's been correct all this time. Of course aliens, I didn't think they existed, but now it says they do. Obviously”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“So there's kind of three things going on, though. I think In terms of will people go as a user, as a adopter, will you trust going to that point? I think so, right? Like there are some users and it's because what happens is when you're hypersensitive at the beginning and then the technology tends to work, your apprehension slowly goes away. And as people, we tend to swing to the other extreme, right? Because like, oh, I was like hyper hyper fearful or hypersensitive and it was awesome. And we just tend to swing. That's just human nature. And so you will have, I mean, and I.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so I think I just don't necessarily trust technology, but I'm an early adopter, right? So when it first comes out, I will use everything, but I will be very, very cautious of how I use it.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“It's one of these very fascinating things, but also I am hyper hyper alert, right? Like I'm hyper alert, like my butt, my thumb is like, oh, okay, I'm ready to take over, even when I'm in my car or I'm doing things like automated backing into, so there's like a feature where you can do this automating backing into a parking space or bring the car out of your garage or even pseudo autopilot on the freeway, right? I am hypersensitive. I can feel like as I'm navigating, like, yeah, that's an error right there. Like I am very aware of it, but I'm also fascinated by it. And it does get better. I look and see it's learning from all of these people who are cutting it on. Every time I cut along, it's getting better, right? And so I think that's what's amazing about it.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Other drivers, right? Like other human drivers? Are it dedicated space for the cars? Because if you think about robotics in general, where's always been successful? I mean, you can say manufacturing like way back in the day, right? It was a fixed environment. Humans were not part of the equation. We're a lot better than that, but like when we can carve out scenarios that are closer to that space, then I think that it's where we are. So a close campus where you don't have self-driving cars and maybe some protection so that the students don't jet in front just because they want to see what happens. Like having a little bit, I think that's where we're going to see the most success in the near future.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so this is a moving target. So I remember when all the big companies started to heavily invest in this and there was a number of even roboticists as well as folks who were putting in the VCs and corporations, Elon Musk being one of them, that said, you know, self-driving cars on the road with people within five years. That was a little while ago. And now people are saying five years, ten years, 20 years. Some are saying never, right? I think if you look at some of the things that are being successful is these Basically, fixed environments where you still have some.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“And I think that's where the problem comes is that when people think about perfection for robotics, the ones that are the most successful are the ones that are quote unquote perfect, like I said, Rosie is perfect. But she actually wasn't perfect in terms of accuracy, but she was perfect in terms of how she interacted and how she adapted. And I think that's some of the disconnect is that we really want perfection with respect to its ability to adapt to us. We don't really want perfection with respect to 100% accuracy, with respect to the roles that we just made up anyway, right? And so I think there's this disconnect sometimes between what we really want and what happens. And we see this all the time, like in my research, right? Like the optimal quote unquote optimal interactions are when the robot is adapting based on the person, not 100% following what's”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source
“Yeah, so perfection, if you think about it in the more theoretical point of view, it's really tied to accuracy, right? So if I have a function, can I complete it at 100% accuracy with zero errors? And so that's kind of, if you think about perfection in the sense of the word.”
2020-01-17 · Lex Fridman Podcast · Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems · IDENTIFIED FROM THE TRANSCRIPT · source