WEBVTT - Sleepwalking

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<v Speaker 1>Sleep Walkers is a production of I Heart Radio and

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<v Speaker 1>Unusual Productions. So I mean, let's just ground the conversation

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<v Speaker 1>for a second. There's two point two billion people who

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<v Speaker 1>use Facebook. It's about the size of Christianity. There's one

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<v Speaker 1>point nine billion people who use YouTube. It's about the

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<v Speaker 1>size of Islam. That's Tristan Harris. When I walk into

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<v Speaker 1>that Facebook room, you know, I'm walking into a room

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<v Speaker 1>that's designed to never make me leave with a thousand

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<v Speaker 1>engineers using supercomputers to calculate the perfect seductive thing to

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<v Speaker 1>put in front of my brain. And Tristan knows a

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<v Speaker 1>thing or two about seduction. I was a design ethosistic

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<v Speaker 1>Google and have spent a decade understanding some of the

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<v Speaker 1>invisible forces that shape the way that we see and

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<v Speaker 1>make sense of the world and choose in the world.

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<v Speaker 1>In case you're wondering they teach this stuff in school, well,

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<v Speaker 1>they do at Stanford. I studied at this lab called

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<v Speaker 1>the Stanford Persuasive Technology Lab that teaches engineering students about

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<v Speaker 1>the entire discipline of persuasion. Everything you know how to

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<v Speaker 1>persuade dogs with clicker training, So click click, you know

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<v Speaker 1>you've got the food. Click click, reward all the way

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<v Speaker 1>to casino design and slot machines, and how do you

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<v Speaker 1>change the lighting to get people to buy things? And

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<v Speaker 1>then you know supermarket design and choice architecture and putting

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<v Speaker 1>the candy in the final aisle, because that's the thing

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<v Speaker 1>that gets you to buy. Tristan and his classmates used

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<v Speaker 1>what they learned at the Persuasive Technology Lab to define

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<v Speaker 1>how we live online. My partners in that class, and

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<v Speaker 1>two thousands of sex at Stanford were the founders of Instagram.

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<v Speaker 1>Half my friends built some of these products and then

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<v Speaker 1>to the like button. Think about that for a moment.

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<v Speaker 1>The people who designed the apps we use the most

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<v Speaker 1>learned how to make them as appealing as possible by

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<v Speaker 1>borrowing the science that trains dogs and gets people hooked

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<v Speaker 1>on gambling. And now all of that is baked into

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<v Speaker 1>a device that's basically become an extension of our body.

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<v Speaker 1>We check our phones about eighty times a day, that's

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<v Speaker 1>the conservative number. And you know their incentive is to

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<v Speaker 1>calculate what is the perfect most seductive thing I can

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<v Speaker 1>show you next to the most seductive red color for

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<v Speaker 1>that notification, or the most seductive video that you know

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<v Speaker 1>you can't help but want to watch next. At a

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<v Speaker 1>time when technology is changing faster than our ability to

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<v Speaker 1>understand it and seeping into nearly every corner of our lives,

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<v Speaker 1>what kind of murky future are we sleepwalking into? What

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<v Speaker 1>can we do to take back some control? And how

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<v Speaker 1>is emerging technology changing our lives for the better. This

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<v Speaker 1>is Sleepwalkers, So welcome. I'mrs and I'm doing this show

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<v Speaker 1>because I'm fascinated with how we relate to the technologies

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<v Speaker 1>that they're changing our lives, whether they end up being

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<v Speaker 1>something like Dr Frankenstein's Monster or ai craft it seltzer Water.

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<v Speaker 1>In this episode, we look at how our technology gets

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<v Speaker 1>into our heads and we take on some distinctly modern monsters,

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<v Speaker 1>from the trick to successful online dating to deterring potential

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<v Speaker 1>terrorists with invisible technology. And I'll have some company along

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<v Speaker 1>the way. Hi. That's Kara Price. She's my friend and

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<v Speaker 1>she hosted a show called Talk Nerdy to Me for

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<v Speaker 1>the Huffington Post. Um. So, I saw this article on

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<v Speaker 1>the Times, the New York Times about how all of

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<v Speaker 1>these Silicon Valley exacts are taking away their kids screen time,

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<v Speaker 1>you know, telling their kids nanny's that the nanny can't

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<v Speaker 1>use screens. And there's actually this quote from Mark Zuckerberg's

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<v Speaker 1>former executive assistant, this woman Athena Tivaria. She says, I

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<v Speaker 1>am convinced the devil lives in our phones and is

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<v Speaker 1>wreaking havoc on our children. Is that like the devil

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<v Speaker 1>is in the details, or is it like the devil

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<v Speaker 1>who lives in hell? No? I think it's the red

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<v Speaker 1>devil who wears no clothes that guys in the phone. Yeah,

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<v Speaker 1>because you know what he does. It leaves people in temptation.

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<v Speaker 1>That's right, that's the devil's show. That's really right, and

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<v Speaker 1>it is have you ever seen a child on an iPad?

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<v Speaker 1>Have you ever seen me? Well, have you ever seen me? Yes? Mesmerized,

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<v Speaker 1>clickity clack, don't come back, actually showing Pocca, who's the

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<v Speaker 1>first president of Facebook, said God only knows what it's

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<v Speaker 1>doing to our children's brains. Got on the devil. Here's

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<v Speaker 1>all of these technology executives who have built basically what

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<v Speaker 1>we use every day to do everything from being in

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<v Speaker 1>touch with our friends to meeting our loves to getting

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<v Speaker 1>from A to B. And suddenly they're saying, well, you guys,

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<v Speaker 1>go ahead, but not for my kids. Yeah, yeah. I

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<v Speaker 1>think it's interesting that this feels very similar to the

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<v Speaker 1>conversation we have surrounding you know, junk food, sugar, tobacco, alcohol,

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<v Speaker 1>that these are things that your parents are supposed to

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<v Speaker 1>protect you from up until a certain point, whether it's

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<v Speaker 1>when you go to college or whatever. And now our

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<v Speaker 1>technology used, whether it be how much we're on social

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<v Speaker 1>media or how much time we're spending gaming on our screens,

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<v Speaker 1>is something that parents have to regulate. The problem is

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<v Speaker 1>one like I'm too old for my parents to regulate it,

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<v Speaker 1>so so what am I going to do? And also

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<v Speaker 1>like my parents use it, so it is sort of

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<v Speaker 1>like sugar in the sense it's like there are parents

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<v Speaker 1>that tell their kids not each sugar who have major

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<v Speaker 1>sugar addictions. We had those conversations in the past, and

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<v Speaker 1>now we're starting to have them about technology. But how

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<v Speaker 1>do we tell our kids to regulate their use of technology?

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<v Speaker 1>And we can't regulate our own And wants to say

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<v Speaker 1>to us that we can't regulate our own technology. His

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<v Speaker 1>Cara with a story of what happens when you add

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<v Speaker 1>service think they know everything about you, but actually get

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<v Speaker 1>it all wrong. I just wrote the whole thing in

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<v Speaker 1>like thirty minutes just you know, banging the keyboard, just

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<v Speaker 1>sobbing the whole time. Dear tech companies. Gillian is a

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<v Speaker 1>social media power user. She uses Twitter for work at

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<v Speaker 1>the Washington Post and Facebook for her social calendar. Even

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<v Speaker 1>her wedding is on YouTube, and in late she was

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<v Speaker 1>entering the final months of her pregnancy. She and her

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<v Speaker 1>husband Bobby were doing the normal what to expect when

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<v Speaker 1>you're expecting stuff, preparing for their newborn son to come

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<v Speaker 1>into their lives. I can remember about two days before

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<v Speaker 1>everything happened, soaking in the tub, and I was just thinking, God,

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<v Speaker 1>this has just gone perfectly, Like I've never been accidentally

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<v Speaker 1>pregnant despite not always being responsible, and we had no

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<v Speaker 1>problem getting pregnant when we wanted to, despite my being

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<v Speaker 1>thirty eight. So I was just like, wow, one and done.

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<v Speaker 1>This totally worked. A couple of days later, I was

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<v Speaker 1>feeling some pain, so I called the doctor's office and

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<v Speaker 1>I said, well, I haven't felt a move today, and

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<v Speaker 1>they said, okay, come in, and so I went in

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<v Speaker 1>and they put me on the sonogram, and I knew immediately.

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<v Speaker 1>I was just screaming no, no, no. A week or

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<v Speaker 1>so after Gillian's sun died. She was being haunted by

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<v Speaker 1>targeted advertising ad that assumed she had given birth to

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<v Speaker 1>a healthy baby boy. When I would scroll through Facebook

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<v Speaker 1>or Instagram, I would get maternity where ads, and so

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<v Speaker 1>I was like, okay, I have to teach it that

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<v Speaker 1>I'm not pregnant anymore. Gillian did the only thing people

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<v Speaker 1>can do with ads they don't want to see. She

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<v Speaker 1>clicked the three dots in the corner of the ad

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<v Speaker 1>and gave feedback. So I would say I don't want

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<v Speaker 1>to see this ad, and then it would say why,

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<v Speaker 1>and I would say, because it's not relevant to me,

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<v Speaker 1>which is like so hard to acknowledge. But Gillian learned

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<v Speaker 1>the hard way that the Facebook algorithm isn't programmed for

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<v Speaker 1>the outcome of a still birth. Then when I god,

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<v Speaker 1>when I got that experienced email, I just I can't

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<v Speaker 1>even like I just snapped finished registering your baby for

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<v Speaker 1>lifelong credit tracking. I just I was just like, you

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<v Speaker 1>have got to be kidding me. Gillian was angry, and

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<v Speaker 1>she knew she had a platform, so she wrote the

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<v Speaker 1>letter and posted it on Twitter. Dear tech companies, I

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<v Speaker 1>know you knew I was pregnant. You probably saw me

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<v Speaker 1>googling maternity plaid and baby safe crib paint, and I

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<v Speaker 1>bet Amazon dot Com even told you my due date

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<v Speaker 1>when I created that prime registry, and silly me, I

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<v Speaker 1>even clicked once or twice on the maternity where ads

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<v Speaker 1>Facebook served up. What can I say, I'm your ideal

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<v Speaker 1>engaged user, but didn't you also see me googling baby

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<v Speaker 1>not moving? And then the announcement posts with key where

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<v Speaker 1>it's like heartbroken and problem and stillborn and the two

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<v Speaker 1>hundred tear drop emoticons from my friends. Gillian's letters struck

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<v Speaker 1>a chord. It got retweeted twenty eight thousand times, and

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<v Speaker 1>shortly after Gillian posted her letter to Twitter, she received

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<v Speaker 1>a response tweet from Facebook's VP of Ads, Rob Goldman.

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<v Speaker 1>I'm so sorry for your loss, he said, and you're

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<v Speaker 1>painful experience with our products. We have a setting available

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<v Speaker 1>that can block ads about some topics people may find painful,

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<v Speaker 1>including parenting. It still needs improvement, but please know that

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<v Speaker 1>we're working on it and welcome your feedback. So I

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<v Speaker 1>turned it off, and within a few hours I got

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<v Speaker 1>an ad for adoption agencies, and the next day I

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<v Speaker 1>got an ad for um father's son matching one sees.

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<v Speaker 1>I've taken screenshots to while every time I get one,

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<v Speaker 1>I just take a picture of it, just like it's

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<v Speaker 1>not working. Yeah, the adoption one g f y. You know,

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<v Speaker 1>Rob Goldman's advice may have changed the ads, but it

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<v Speaker 1>didn't solve the fundamental problem. The algorithms couldn't stop reminding

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<v Speaker 1>Gillian of her loss. Other people were like, well, don't

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<v Speaker 1>be on Facebook at all, you know, don't do any

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<v Speaker 1>of those things, And first of all, I don't think

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<v Speaker 1>that's realistic, especially because for Gillian, Facebook was also providing

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<v Speaker 1>comfort through it all. It was helpful to have my

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<v Speaker 1>friends timing in and saying, we're so sorry, you know,

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<v Speaker 1>what can we do? And you know, a bunch of

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<v Speaker 1>people made an Uber eats fund for me and my

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<v Speaker 1>husband so we could just have food delivered. While when

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<v Speaker 1>we got home it's like, you know, the twenty one

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<v Speaker 1>century bringing over lasagna. And this was all organized on Facebook. Yeah,

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<v Speaker 1>it was on Facebook, and ironically it helped her connect

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<v Speaker 1>with people going through the same thing. A woman who

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<v Speaker 1>used to go to my church, she had a still

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<v Speaker 1>birth on Christmas Day a few weeks after I did,

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<v Speaker 1>and the memorial service for her baby was posted to Facebook,

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<v Speaker 1>I wouldn't have known about it, and I wouldn't have

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<v Speaker 1>gone if I hadn't checked Facebook. Gillian isn't planning to

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<v Speaker 1>delete social media. She just wishes it could be better.

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<v Speaker 1>She's still going to use it to keep in touch

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<v Speaker 1>with friends and family. But whereas she was once comfortable

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<v Speaker 1>with her wedding on YouTube, there are now something she

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<v Speaker 1>won't be comfortable sharing. And I have to say, now

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<v Speaker 1>having this experience, you know, I knew it was being tracked,

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<v Speaker 1>but having the tracking revealed to me in such a

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<v Speaker 1>garish display. If we do have a living child someday,

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<v Speaker 1>I think that's going to be actually really easy for

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<v Speaker 1>me to just be like, no Internet, you don't get

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<v Speaker 1>to have that. Even after the experience. Gillian doesn't hate Facebook.

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<v Speaker 1>At the same time, she wouldn't want her future children tracked,

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<v Speaker 1>a bit like the Silicon Valley execs we talked about

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<v Speaker 1>earlier taking their own children off social media. But what

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<v Speaker 1>if the same targeting technology that harm Gillian could help

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<v Speaker 1>others and keep people who are hurting from damaging themselves

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<v Speaker 1>and society. And what if it wasn't a broad group

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<v Speaker 1>like new mothers being targeted by ad bots, but a

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<v Speaker 1>specific group of people having their personal search results changed.

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<v Speaker 1>I heard about a programmer Alphabet, Google's parent company trying

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<v Speaker 1>to do just that, and I wanted to know more.

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<v Speaker 1>We'll get there after the brain. My name is Yasmin Green.

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<v Speaker 1>I am the director of Research and Development at Jigsaw.

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<v Speaker 1>We are sitting in one of our rooms in our

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<v Speaker 1>New York office. The name of the meeting room is

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<v Speaker 1>Smoke Signal Communication Technology. Yeah, they're all named after different

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<v Speaker 1>communication technologies. Jigsaw is a part of Alphabet and Google

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<v Speaker 1>that's focused on technology that addresses big security challenges. So

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<v Speaker 1>how did Jigsaw begin? Two decades ago? When we were

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<v Speaker 1>designing the platforms and apps, we were not really imagining

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<v Speaker 1>that repressive governments and criminals and terrorist groups or like

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<v Speaker 1>salivating and about innovating to use these platforms just as

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<v Speaker 1>just as well as everyone else. Um. And now we

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<v Speaker 1>realize that we really need to understand their goals and

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<v Speaker 1>their activities if we want to keep people safe online.

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<v Speaker 1>It's Yasmin's job to look at how those repressive regimes,

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<v Speaker 1>criminals and terrorist groups operate, find trends and try to

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<v Speaker 1>counter them. Our approaches to try to understand the human

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<v Speaker 1>journeys and to understand the role of technology and see

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<v Speaker 1>if we can build technology that stops people getting to

0:13:14.120 --> 0:13:16.640
<v Speaker 1>the point that we would consider them of ident extremist

0:13:16.720 --> 0:13:20.040
<v Speaker 1>or a terrorist. So if you want to understand terrorists,

0:13:20.320 --> 0:13:24.679
<v Speaker 1>where do you start. Well, to better understand extremism, Yasmin's

0:13:24.720 --> 0:13:28.480
<v Speaker 1>team use some somewhat extreme methods themselves. One of the

0:13:28.480 --> 0:13:30.720
<v Speaker 1>first things we did in two thousand and eleven was

0:13:30.760 --> 0:13:35.959
<v Speaker 1>we brought together eighty four former extremists and survivors of terrorism.

0:13:36.040 --> 0:13:38.199
<v Speaker 1>And we had isn't a mist people who's going to

0:13:38.200 --> 0:13:43.320
<v Speaker 1>find Afghanistan or al Shabab from Somalia, Nigerian isna miss militia,

0:13:43.400 --> 0:13:45.520
<v Speaker 1>but we also had a form of violent Israeli settler.

0:13:45.640 --> 0:13:47.640
<v Speaker 1>We had form of Christian militia. We've got them one

0:13:47.679 --> 0:13:51.760
<v Speaker 1>together on one place. Can you imagine the security concern

0:13:52.000 --> 0:13:55.240
<v Speaker 1>for Google in helping us convene everyone in one place.

0:13:55.280 --> 0:13:57.640
<v Speaker 1>We had snipers on the roof, We had six months

0:13:57.679 --> 0:14:00.960
<v Speaker 1>vetting for everyone. We cared about them being public and

0:14:00.960 --> 0:14:03.480
<v Speaker 1>associated with an engine to bring people out of those

0:14:03.480 --> 0:14:07.480
<v Speaker 1>extremist groups. And beyond gathering all the former terrorists in

0:14:07.559 --> 0:14:12.160
<v Speaker 1>one place, Yasmin's team also invited the victims of terrorism.

0:14:12.240 --> 0:14:14.920
<v Speaker 1>We had survivors, So we had people who celebrated nine

0:14:14.920 --> 0:14:17.640
<v Speaker 1>eleven and people who had lost family members in eleven.

0:14:17.720 --> 0:14:21.560
<v Speaker 1>We had a lady who said that she had woken

0:14:21.640 --> 0:14:23.800
<v Speaker 1>up in hospital with a name band on her risk

0:14:23.880 --> 0:14:27.080
<v Speaker 1>that said gender unknown because her body was like so mutilated.

0:14:27.600 --> 0:14:29.600
<v Speaker 1>The point of bringing everyone together was to say what

0:14:29.920 --> 0:14:33.800
<v Speaker 1>is common in the human radicalization path even when you're

0:14:33.800 --> 0:14:39.240
<v Speaker 1>looking across ideologies, and does technology have a role to play?

0:14:39.440 --> 0:14:42.720
<v Speaker 1>In other words, Yasmin wanted to understand how people become

0:14:42.920 --> 0:14:46.880
<v Speaker 1>terrorists and what role the internet plays. But Chicksaw's role

0:14:46.960 --> 0:14:49.320
<v Speaker 1>was never just to have summits and collect the information.

0:14:49.720 --> 0:14:53.000
<v Speaker 1>They wanted to take action, and ISIS was the obvious

0:14:53.000 --> 0:14:56.480
<v Speaker 1>place to start. In March of this year, ISIS actually

0:14:56.520 --> 0:14:59.680
<v Speaker 1>lost the last of its remaining territory, but when the

0:15:00.040 --> 0:15:03.000
<v Speaker 1>left fate was that it's height. Thousands of foreign fighters

0:15:03.080 --> 0:15:07.760
<v Speaker 1>were recruited online. They left their homes in places like Germany, England,

0:15:07.840 --> 0:15:11.600
<v Speaker 1>America for the battle fields of Syria. This trip that

0:15:11.640 --> 0:15:15.160
<v Speaker 1>we took to Iraq, where we spoke to defectors of ISIS,

0:15:15.440 --> 0:15:17.560
<v Speaker 1>was really instructive for us. We had these face to

0:15:17.600 --> 0:15:20.640
<v Speaker 1>face conversations with these young men who had left home,

0:15:20.840 --> 0:15:24.360
<v Speaker 1>gone to Syria, and Iraq trained with ISIS, did their

0:15:24.360 --> 0:15:27.560
<v Speaker 1>religious indoctrination with ISIS, got their postings, some of them

0:15:27.560 --> 0:15:30.360
<v Speaker 1>as suicide bombers, some of them as technical drivers, some

0:15:30.400 --> 0:15:33.560
<v Speaker 1>of them as night watchmen. And they had realized that

0:15:33.640 --> 0:15:35.880
<v Speaker 1>it was all a lie. So they're telling us about it,

0:15:35.920 --> 0:15:37.920
<v Speaker 1>and we say, if you knew the day that you

0:15:38.000 --> 0:15:40.000
<v Speaker 1>left everything that you know and now, would you still

0:15:40.080 --> 0:15:44.200
<v Speaker 1>have gone? And they invariably said that they would still

0:15:44.240 --> 0:15:49.800
<v Speaker 1>have gone. Honestly, I'd already finished, he asked me in

0:15:49.800 --> 0:15:51.960
<v Speaker 1>a sentence. In my head, I thought she was going

0:15:52.000 --> 0:15:55.240
<v Speaker 1>to say, they invariably said that they wouldn't have gone,

0:15:55.920 --> 0:15:59.840
<v Speaker 1>but in fact, knowing they were facing not just heroic martyrdom,

0:16:00.200 --> 0:16:04.880
<v Speaker 1>red cues, lack of medical care, splintered leadership, they still

0:16:04.880 --> 0:16:07.400
<v Speaker 1>would have left the comfort of their home countries again

0:16:07.760 --> 0:16:12.160
<v Speaker 1>places like America, England, Canada, to travel to Syria, an

0:16:12.160 --> 0:16:16.160
<v Speaker 1>active war zone. So Jackson needed to understand what what

0:16:16.240 --> 0:16:18.680
<v Speaker 1>ICE is doing to lure people in that was so

0:16:18.920 --> 0:16:21.760
<v Speaker 1>very powerful. We identified the recruitment narratives and they were

0:16:21.920 --> 0:16:25.520
<v Speaker 1>largely around people who thought that this was the devout, correct,

0:16:25.520 --> 0:16:28.400
<v Speaker 1>religous thing to do, that this wasn't mslim utopia than

0:16:28.560 --> 0:16:31.000
<v Speaker 1>was going to lead to a healthier, happier life than

0:16:31.160 --> 0:16:34.080
<v Speaker 1>remaining in the West. People who are interested in the

0:16:34.080 --> 0:16:37.840
<v Speaker 1>military conflated. So there were several and we generated a

0:16:37.920 --> 0:16:42.760
<v Speaker 1>targeting strategy to reach these people based on their online browsing,

0:16:43.280 --> 0:16:47.080
<v Speaker 1>specifically like their online searches take a moment to absorb that.

0:16:47.600 --> 0:16:51.240
<v Speaker 1>Based on online browsing history and searches, Jigsaw were able

0:16:51.280 --> 0:16:55.120
<v Speaker 1>to identify potential extremists and serve them adds to push

0:16:55.120 --> 0:16:59.240
<v Speaker 1>them towards alternative content. But wouldn't that raise alarm bells

0:16:59.280 --> 0:17:02.320
<v Speaker 1>for the people do in the searching Yasmin and her

0:17:02.360 --> 0:17:05.280
<v Speaker 1>team had to be subtle. If you were interested in

0:17:05.359 --> 0:17:09.000
<v Speaker 1>fact was about Jahard, religious udics about Johard, we would

0:17:09.000 --> 0:17:11.320
<v Speaker 1>give you those originally, It's just not the ones that

0:17:11.359 --> 0:17:14.359
<v Speaker 1>Isis was proposing, but alternative ones. Or if you're interested

0:17:14.359 --> 0:17:16.680
<v Speaker 1>to understand what life is like in the Caliphate, let's

0:17:16.680 --> 0:17:20.200
<v Speaker 1>show you citizen journalism of the long cueues for bread

0:17:20.440 --> 0:17:22.399
<v Speaker 1>or the state of the hospitals in the Caliphate. So

0:17:22.400 --> 0:17:26.679
<v Speaker 1>you're still getting something that addresses your interest. Um, it

0:17:26.680 --> 0:17:29.240
<v Speaker 1>would just be an alternative information source to the one

0:17:29.280 --> 0:17:31.679
<v Speaker 1>that you were looking for and it was really important

0:17:31.680 --> 0:17:34.040
<v Speaker 1>to us to make sure that we were targeting, you know,

0:17:34.119 --> 0:17:36.240
<v Speaker 1>and finding people who were really at risk as opposed

0:17:36.240 --> 0:17:38.760
<v Speaker 1>to just people who are interested in isis that's right.

0:17:39.160 --> 0:17:42.560
<v Speaker 1>Looking at browsing and search history, Jigsaw and Google can

0:17:42.600 --> 0:17:45.679
<v Speaker 1>look at two different people looking up fatoas online and

0:17:45.760 --> 0:17:49.320
<v Speaker 1>only serve redirecting ads to one. When you get the

0:17:49.480 --> 0:17:52.040
<v Speaker 1>level more granular, you can start to set up a

0:17:52.080 --> 0:17:55.879
<v Speaker 1>targeting strategy that really does differentiate mainstream interest in this

0:17:55.960 --> 0:17:59.320
<v Speaker 1>group to the people who are you know, sympathetic and

0:17:59.520 --> 0:18:02.480
<v Speaker 1>potential join us. It has turned out to be really

0:18:02.480 --> 0:18:07.280
<v Speaker 1>effective since my conversation with Yasmin. A terrorist attack on

0:18:07.359 --> 0:18:11.879
<v Speaker 1>two mosques in Christchurch, New Zealand killed fifty people and

0:18:11.960 --> 0:18:14.680
<v Speaker 1>focus the world's attention on the threat posed by far

0:18:14.800 --> 0:18:17.960
<v Speaker 1>right terror. I emailed with Yasmin and she told me

0:18:18.000 --> 0:18:20.359
<v Speaker 1>that she and her team are quote attending to the

0:18:20.440 --> 0:18:26.520
<v Speaker 1>far right threat with increased urgency. I think it's nice

0:18:26.560 --> 0:18:28.400
<v Speaker 1>that they're trying to fix things, but you know, it's

0:18:28.400 --> 0:18:32.240
<v Speaker 1>like the Anhauser Busch family funding a study on alcohol, right,

0:18:32.280 --> 0:18:34.760
<v Speaker 1>I guess, except we kind of no alcohol is bad,

0:18:34.800 --> 0:18:38.000
<v Speaker 1>whereas we can still hope that the internet is neutral,

0:18:38.400 --> 0:18:40.280
<v Speaker 1>although it is clear the Internet has become a key

0:18:40.320 --> 0:18:43.399
<v Speaker 1>method of radicalization for terrorists of all stripes, and so

0:18:43.720 --> 0:18:45.280
<v Speaker 1>for me at least, it's good to know that the

0:18:45.320 --> 0:18:48.359
<v Speaker 1>technology companies are acknowledging that and smart people like Yasmin

0:18:48.400 --> 0:18:51.520
<v Speaker 1>are working on it. Although it does also mean living

0:18:51.520 --> 0:18:54.399
<v Speaker 1>in a world where our main internet search providers also

0:18:54.560 --> 0:18:57.480
<v Speaker 1>edit the results. Do we want Google controlling what we

0:18:57.560 --> 0:19:01.120
<v Speaker 1>know about the world or recommending what else we should now? Right?

0:19:01.280 --> 0:19:03.280
<v Speaker 1>And then what if Google turned that immense power to

0:19:03.320 --> 0:19:09.680
<v Speaker 1>influence directly onto me or you? More on that after

0:19:09.720 --> 0:19:18.360
<v Speaker 1>the break, Tristan, we've been talking about chicksaw on their

0:19:18.359 --> 0:19:22.399
<v Speaker 1>manipulation when you look at elections and the way extremist

0:19:22.480 --> 0:19:27.760
<v Speaker 1>groups are using technology to radicalize and proliferate. Should tech

0:19:27.800 --> 0:19:30.240
<v Speaker 1>companies be trying to offset some of the damage they're

0:19:30.240 --> 0:19:33.720
<v Speaker 1>doing by intervening for good? Yeah, Well, this is an

0:19:33.720 --> 0:19:38.200
<v Speaker 1>incredibly nuanced topic because essentially the way to see what's

0:19:38.200 --> 0:19:41.399
<v Speaker 1>going on with technology today is there's a massive asymmetry.

0:19:41.600 --> 0:19:43.040
<v Speaker 1>It would be easy for you and I and he

0:19:43.040 --> 0:19:46.560
<v Speaker 1>has mean to say clearly isis is bad and terrorism

0:19:46.640 --> 0:19:50.400
<v Speaker 1>is bad. So let's redirect when you're searching for things

0:19:50.400 --> 0:19:53.760
<v Speaker 1>that look like terrorist videos. But if you suddenly then

0:19:53.760 --> 0:19:56.639
<v Speaker 1>open the door and say you're about to watch a

0:19:56.760 --> 0:20:01.320
<v Speaker 1>video on climate change, and people at Google, for whatever reason,

0:20:01.359 --> 0:20:04.040
<v Speaker 1>believe that climate change wasn't real and they said, we're

0:20:04.040 --> 0:20:07.159
<v Speaker 1>going to start redirecting you away from that. Again, who

0:20:07.200 --> 0:20:09.880
<v Speaker 1>would they be to say? And that's actually a critical

0:20:09.960 --> 0:20:12.440
<v Speaker 1>juncture that we're at right now, because there's kind of

0:20:12.520 --> 0:20:15.560
<v Speaker 1>a pluralism where we all believe and think different things,

0:20:15.560 --> 0:20:17.119
<v Speaker 1>and we want to say that's your truth and not

0:20:17.200 --> 0:20:19.200
<v Speaker 1>my truth, and so we have this collapse of well,

0:20:19.240 --> 0:20:23.280
<v Speaker 1>who is the moral authority on these topics? And after all,

0:20:23.640 --> 0:20:27.399
<v Speaker 1>we're all Americans, well not me, but a citizens of

0:20:27.400 --> 0:20:30.919
<v Speaker 1>a democracy. We have a voice in our diplomacy. What

0:20:31.000 --> 0:20:33.800
<v Speaker 1>about is uses as the Internet? I think it's important

0:20:33.800 --> 0:20:36.680
<v Speaker 1>that we not try to just have a philosophy cocktail

0:20:36.720 --> 0:20:39.840
<v Speaker 1>conversation and debate it. We have to actually recognize that

0:20:39.880 --> 0:20:43.120
<v Speaker 1>this is having real world consequences. But the difficult thing

0:20:43.200 --> 0:20:46.119
<v Speaker 1>to reckon with is that it all comes back to attention.

0:20:46.640 --> 0:20:48.639
<v Speaker 1>YouTube has a tilt. We're on the one side of

0:20:48.640 --> 0:20:54.520
<v Speaker 1>the spectrum you have the calm science Carl Siggin slowly explaining,

0:20:54.640 --> 0:20:57.440
<v Speaker 1>and on the other side of the spectrum. You have UFOs, Bigfoot,

0:20:57.440 --> 0:21:01.240
<v Speaker 1>conspiracy theories, and crazy Town. If I'm YouTube and I

0:21:01.280 --> 0:21:03.399
<v Speaker 1>want you to watch more, Let's say you start at

0:21:03.400 --> 0:21:05.400
<v Speaker 1>the science section. If I want you to watch more,

0:21:05.600 --> 0:21:07.960
<v Speaker 1>which direction between those two am I going to steer you?

0:21:08.520 --> 0:21:11.560
<v Speaker 1>I'm always going to steer you too. Crazy Town so

0:21:11.800 --> 0:21:14.639
<v Speaker 1>at scale, even in language that the engineers don't speak,

0:21:14.840 --> 0:21:17.880
<v Speaker 1>the algorithms had figured out that crazy Town is really

0:21:17.920 --> 0:21:20.080
<v Speaker 1>really good at getting people's attention. And we know the

0:21:20.119 --> 0:21:23.760
<v Speaker 1>effect isn't just on politics, what about regular people who

0:21:23.760 --> 0:21:27.200
<v Speaker 1>get pushed into joinning ISIS or taking other extreme positions.

0:21:27.480 --> 0:21:29.840
<v Speaker 1>If you start a team girl on a dieting video,

0:21:30.080 --> 0:21:34.080
<v Speaker 1>the YouTube algorithm recommends an arexia videos because it's calculating

0:21:34.080 --> 0:21:36.000
<v Speaker 1>away and figures out those are the things that are

0:21:36.000 --> 0:21:39.840
<v Speaker 1>really good at keeping people of that age demographic on YouTube.

0:21:39.920 --> 0:21:42.280
<v Speaker 1>And if you start someone on a Supember eleventh news

0:21:42.359 --> 0:21:45.760
<v Speaker 1>video of the planes crashing into the towers, the recommendations

0:21:45.760 --> 0:21:48.280
<v Speaker 1>are all going to be the nine eleven conspiracy theory videos.

0:21:48.280 --> 0:21:53.679
<v Speaker 1>And Alex Jones YouTube actually recommended fifteen billion times Alex

0:21:53.760 --> 0:21:57.080
<v Speaker 1>Jones videos, two billion of which were viewed, even if

0:21:57.119 --> 0:21:59.600
<v Speaker 1>only one out of a thousand of those people believed it,

0:21:59.680 --> 0:22:01.880
<v Speaker 1>So one out of a thousand people watching those two

0:22:01.880 --> 0:22:04.520
<v Speaker 1>billion views believe that that's like printing, you know, a

0:22:04.600 --> 0:22:07.560
<v Speaker 1>church of scientology called about you know once a month.

0:22:07.600 --> 0:22:11.160
<v Speaker 1>In terms of the scale, we are jacked into these systems,

0:22:11.160 --> 0:22:14.640
<v Speaker 1>We are jacked into these environments that are telling us

0:22:14.680 --> 0:22:17.600
<v Speaker 1>and steering us towards flows of attention and ways of

0:22:17.640 --> 0:22:20.840
<v Speaker 1>seeing the world that are inevitable. And the question is

0:22:20.960 --> 0:22:24.679
<v Speaker 1>what flows of attention do we want? And in the end,

0:22:24.720 --> 0:22:27.480
<v Speaker 1>it all comes down to who's steering the ship and

0:22:27.520 --> 0:22:31.879
<v Speaker 1>what they're steering you towards. Who watches the watchman he

0:22:32.000 --> 0:22:35.400
<v Speaker 1>has been argues that jakes Will takes ethics heavily into consideration,

0:22:36.240 --> 0:22:39.560
<v Speaker 1>but not all companies do. And Tristan actually has a

0:22:39.640 --> 0:22:43.280
<v Speaker 1>radical idea. He believes that we need to wean ourselves

0:22:43.480 --> 0:22:47.000
<v Speaker 1>as an economy and as a society from business models

0:22:47.040 --> 0:22:49.560
<v Speaker 1>that compete for our attention to sell us things. I

0:22:49.560 --> 0:22:53.200
<v Speaker 1>think we really underestimate that this is affecting every layer

0:22:53.320 --> 0:22:56.200
<v Speaker 1>of society. And when you have three or four tech

0:22:56.240 --> 0:22:59.560
<v Speaker 1>companies choosing what will show up in the minds of

0:22:59.560 --> 0:23:02.119
<v Speaker 1>two bill and people every day, you know, our minds

0:23:02.160 --> 0:23:04.920
<v Speaker 1>are the source of all of our actions, But don't

0:23:04.920 --> 0:23:09.159
<v Speaker 1>we bear some responsibility for our own actions? Isn't that

0:23:09.240 --> 0:23:14.160
<v Speaker 1>part of the American dream? After all? No one forces

0:23:14.200 --> 0:23:16.480
<v Speaker 1>you into a casino or to buy that bar of

0:23:16.560 --> 0:23:19.879
<v Speaker 1>chocolate as you're paying at the supermarket. Right. You know,

0:23:20.040 --> 0:23:22.439
<v Speaker 1>you're the one clicking on those YouTube videos. You're the

0:23:22.440 --> 0:23:24.880
<v Speaker 1>ones who are clicking on those Russian ads. You're the ones,

0:23:25.080 --> 0:23:27.119
<v Speaker 1>you know, checking your phones because of those light colors

0:23:27.119 --> 0:23:29.560
<v Speaker 1>that are shining up all the time. We're just giving

0:23:29.560 --> 0:23:32.720
<v Speaker 1>people what they want. You're responsible for your choices. What

0:23:32.800 --> 0:23:35.080
<v Speaker 1>we have to do is flip the table around. We're

0:23:35.160 --> 0:23:38.119
<v Speaker 1>not giving people what they want. We're giving people what

0:23:38.200 --> 0:23:41.080
<v Speaker 1>they can't help but watch and once we acknowledge that,

0:23:41.200 --> 0:23:43.680
<v Speaker 1>we can start to find some reasons to hope. We've

0:23:43.760 --> 0:23:47.199
<v Speaker 1>found by getting Apple and Google to launch both um

0:23:47.320 --> 0:23:50.720
<v Speaker 1>these digital well being initiatives, which take the blue light

0:23:50.720 --> 0:23:52.919
<v Speaker 1>out of your screens and do gray scale late at

0:23:53.000 --> 0:23:55.320
<v Speaker 1>night and show you ways of minimizing the time you

0:23:55.320 --> 0:23:57.400
<v Speaker 1>spend on your phone and things like that. It's a

0:23:57.440 --> 0:24:00.679
<v Speaker 1>baby step in the right direction. But that happened against

0:24:00.680 --> 0:24:04.119
<v Speaker 1>their own business interests because the engineers themselves started to

0:24:04.160 --> 0:24:07.159
<v Speaker 1>see it this way. Of course, this addiction economy is

0:24:07.200 --> 0:24:11.119
<v Speaker 1>fueling so much more, from heck democracy to radicalization, to

0:24:11.200 --> 0:24:14.439
<v Speaker 1>mental health issues and the epidemic of a loneliness. The

0:24:14.520 --> 0:24:17.760
<v Speaker 1>list of problems that we need to solve is much

0:24:17.800 --> 0:24:21.600
<v Speaker 1>bigger than just making our own gray skill, and that's

0:24:21.680 --> 0:24:25.720
<v Speaker 1>what has to happen next. Happily, not everything in life

0:24:25.720 --> 0:24:28.320
<v Speaker 1>that makes us feel good is bad for us, and

0:24:28.440 --> 0:24:32.400
<v Speaker 1>some target recommendations can make us very happy. Indeed, So

0:24:32.680 --> 0:24:36.880
<v Speaker 1>let's talk about love, because one of the ways that

0:24:36.920 --> 0:24:39.400
<v Speaker 1>you might have felt AI touched your life is through

0:24:39.560 --> 0:24:42.240
<v Speaker 1>online dating. Maybe the person you woke up next to

0:24:42.280 --> 0:24:45.400
<v Speaker 1>this morning was matched to you by a computer algorithm.

0:24:45.440 --> 0:24:50.760
<v Speaker 1>And according to a study released in January Stanford, straight

0:24:50.920 --> 0:24:56.560
<v Speaker 1>and six of LGBTQ couples now meet online. Tinder processes

0:24:56.600 --> 0:24:59.679
<v Speaker 1>two billion swipes per day. That's a lot of data,

0:25:00.400 --> 0:25:02.240
<v Speaker 1>and it feels pretty good to meet someone who like

0:25:02.680 --> 0:25:06.440
<v Speaker 1>no matter how it happens. The lgbt Q statistic makes

0:25:06.440 --> 0:25:07.840
<v Speaker 1>a lot of sense to me because we don't have

0:25:07.880 --> 0:25:10.840
<v Speaker 1>to come in contact with judgment, with hate speech, with

0:25:10.920 --> 0:25:12.919
<v Speaker 1>home whatever it may be, there's a lot less of

0:25:12.920 --> 0:25:15.280
<v Speaker 1>it when it's a peer to peer thing on your phone.

0:25:15.400 --> 0:25:18.280
<v Speaker 1>Hopefully the other thing is the heterosexual dating pool is

0:25:18.320 --> 0:25:21.320
<v Speaker 1>a pool. The in my case, lesbian dating pool is

0:25:21.720 --> 0:25:24.600
<v Speaker 1>a puddle, and that puddle at least can be amplified

0:25:25.240 --> 0:25:28.719
<v Speaker 1>on an app like Hinge and Tinder and whatever. I mean.

0:25:28.720 --> 0:25:30.600
<v Speaker 1>I have noticed a lot more gay couples in the

0:25:30.640 --> 0:25:33.840
<v Speaker 1>New York Times wedding section, which I read religiously. The

0:25:33.880 --> 0:25:36.560
<v Speaker 1>other thing that I notice is that a lot of

0:25:36.600 --> 0:25:40.400
<v Speaker 1>the couples, both straight and gay, meet on apps. It's

0:25:40.440 --> 0:25:42.679
<v Speaker 1>interesting to see that it's influenced the culture in that

0:25:42.720 --> 0:25:45.000
<v Speaker 1>way so much so that you know, X amount of

0:25:45.000 --> 0:25:48.000
<v Speaker 1>people per week are meeting on those apps. And actually

0:25:48.040 --> 0:25:50.840
<v Speaker 1>in the States right now, there's been quite a significant

0:25:50.880 --> 0:25:54.440
<v Speaker 1>uptick in interracial marriages. That's pretty cool and it's something

0:25:54.480 --> 0:25:56.520
<v Speaker 1>to really celebrate as well. I mean, I was on

0:25:56.560 --> 0:25:59.400
<v Speaker 1>Instagram a few days ago and I saw somebody who

0:25:59.480 --> 0:26:01.320
<v Speaker 1>uploaded it picture of their wedding cake which had the

0:26:01.359 --> 0:26:04.400
<v Speaker 1>Tinder logo on it. Um. So you know, people feel

0:26:04.440 --> 0:26:08.119
<v Speaker 1>real terms of gratitude and excitement about meeting their partner, obviously,

0:26:08.520 --> 0:26:11.399
<v Speaker 1>And one person had a successful Tinder experience is the

0:26:11.440 --> 0:26:14.439
<v Speaker 1>producer of the show Julian Weller. That's right. So I

0:26:14.480 --> 0:26:16.119
<v Speaker 1>met my girlfriend on mine I've actually been to a

0:26:16.160 --> 0:26:18.840
<v Speaker 1>couple of weddings also that they called Tinder Ella stories

0:26:19.480 --> 0:26:22.800
<v Speaker 1>if the iPhone case fits. Yeah, But you know, I

0:26:22.840 --> 0:26:25.119
<v Speaker 1>think in essence, the use of something like Tinder is

0:26:25.119 --> 0:26:27.600
<v Speaker 1>that it just makes your dating pool bigger. To Cara's point,

0:26:27.960 --> 0:26:30.560
<v Speaker 1>but there are other apps, right, there's other approaches where

0:26:30.840 --> 0:26:33.919
<v Speaker 1>people can enter lots more information in about themselves beyond

0:26:34.040 --> 0:26:37.440
<v Speaker 1>just this sort of casual way to meet. We wanted

0:26:37.480 --> 0:26:39.479
<v Speaker 1>to find out more about the data that drives who

0:26:39.560 --> 0:26:42.479
<v Speaker 1>we fall in love with, so we spoke to Helen Fisher.

0:26:43.760 --> 0:26:47.760
<v Speaker 1>I'm Dr Helen Fisher. I'm a biological anthropologist at the

0:26:47.920 --> 0:26:51.280
<v Speaker 1>Kinsey Institute. I've written six books on love, put people

0:26:51.320 --> 0:26:54.320
<v Speaker 1>in brain scanners, and actually I'm also the chief scientific

0:26:54.359 --> 0:26:56.840
<v Speaker 1>advisor to match dot com. We've been talking a lot

0:26:56.840 --> 0:27:00.840
<v Speaker 1>about computer algorithms influencing behavior in this episode Code, But

0:27:01.160 --> 0:27:04.600
<v Speaker 1>what motivates us in the first place, Well, there are

0:27:04.640 --> 0:27:08.000
<v Speaker 1>pathways and rules in the brain, not unlike a computer.

0:27:08.520 --> 0:27:11.040
<v Speaker 1>I developed a questionnaire some time ago that's now been

0:27:11.040 --> 0:27:14.520
<v Speaker 1>taken by fourteen million people in forty countries. Actually, and

0:27:14.640 --> 0:27:17.520
<v Speaker 1>there's patterns of behavior. I mean, we walk around with

0:27:17.560 --> 0:27:20.360
<v Speaker 1>algorithms in our head I mean, the brain is constantly

0:27:20.400 --> 0:27:23.199
<v Speaker 1>responding to all kinds of things, and it certainly is

0:27:23.240 --> 0:27:26.800
<v Speaker 1>a series of algorithms. So if the brain is like

0:27:26.840 --> 0:27:31.199
<v Speaker 1>a collection of computer algorithms but much more complicated, what

0:27:31.280 --> 0:27:34.920
<v Speaker 1>are the inputs what drives who we fall in love with?

0:27:35.320 --> 0:27:37.959
<v Speaker 1>There's four brain systems that each one of them is

0:27:38.000 --> 0:27:41.240
<v Speaker 1>linked with a constellation of biological traits, and they are

0:27:41.280 --> 0:27:45.399
<v Speaker 1>the dopamine, serotonin, testasterone, and estrogen systems. And so I

0:27:45.440 --> 0:27:47.720
<v Speaker 1>created a questionnaire to see what you know, how you

0:27:47.760 --> 0:27:50.320
<v Speaker 1>expressed the traits in each one of these systems. Once

0:27:50.359 --> 0:27:53.280
<v Speaker 1>Helen had developed the quiz, she validated it using a

0:27:53.359 --> 0:27:56.840
<v Speaker 1>brain scanner, and then I watched now at fourteen million people,

0:27:56.960 --> 0:27:59.800
<v Speaker 1>and Helen got an insight into the brain system that

0:28:00.040 --> 0:28:03.000
<v Speaker 1>makes us experience love in the first place. When we

0:28:03.040 --> 0:28:05.520
<v Speaker 1>put the people in the machine, I had expected that

0:28:05.720 --> 0:28:08.840
<v Speaker 1>brain readers, link with the emotions and cognitive processes, would

0:28:08.880 --> 0:28:11.639
<v Speaker 1>become active, and they do. But what everybody had in

0:28:11.680 --> 0:28:14.680
<v Speaker 1>common is activity in brain readers way at the base

0:28:14.760 --> 0:28:17.919
<v Speaker 1>of the brain link with drive, with craving, with focus,

0:28:18.040 --> 0:28:21.600
<v Speaker 1>with motivation, with energy. In other words, Helen found that

0:28:21.640 --> 0:28:24.480
<v Speaker 1>the ability to fall in love is just as deep

0:28:24.520 --> 0:28:27.719
<v Speaker 1>in the brain as other survival drives things we have

0:28:27.760 --> 0:28:31.560
<v Speaker 1>no control over, but it lies right near factories that

0:28:31.720 --> 0:28:35.600
<v Speaker 1>orchestrate thirst and hunger. Thirst and hunger keep you alive today.

0:28:35.920 --> 0:28:38.840
<v Speaker 1>Romantic love drives you to fall in love form of

0:28:38.920 --> 0:28:43.240
<v Speaker 1>pair bound and pass your DNA into tomorrow. That brain system,

0:28:43.280 --> 0:28:45.320
<v Speaker 1>the one that makes us feel that we need to eat,

0:28:45.480 --> 0:28:48.000
<v Speaker 1>or need to drink, or need to be with someone,

0:28:48.560 --> 0:28:51.520
<v Speaker 1>is also the one that drives addiction, and that has

0:28:51.520 --> 0:28:55.120
<v Speaker 1>implications for the technologies we use every day beyond just

0:28:55.240 --> 0:28:58.480
<v Speaker 1>dating apps, not only the substance addictions, but the behavioral

0:28:58.520 --> 0:29:02.600
<v Speaker 1>addictions like gambling or food addiction. That brain region became

0:29:02.720 --> 0:29:06.200
<v Speaker 1>activated not only among people who are madly and happily

0:29:06.240 --> 0:29:10.000
<v Speaker 1>in love, but also among people who were rejected in love,

0:29:10.360 --> 0:29:12.840
<v Speaker 1>and even in people who are in love long term.

0:29:12.880 --> 0:29:15.920
<v Speaker 1>And it is linked with the addiction centers in the brain.

0:29:16.000 --> 0:29:17.720
<v Speaker 1>And perhaps at some point we're going to come to

0:29:17.800 --> 0:29:21.480
<v Speaker 1>understand a much broader view of the word addiction. This

0:29:21.600 --> 0:29:24.480
<v Speaker 1>brings us right back to what Tristan was saying. Our

0:29:24.520 --> 0:29:27.840
<v Speaker 1>apps and smart devices are hijacking some of the deepest

0:29:27.920 --> 0:29:31.240
<v Speaker 1>and most powerful systems in our brain. The truth is

0:29:31.280 --> 0:29:35.440
<v Speaker 1>that Tinder apps social media validation. They all generate the

0:29:35.480 --> 0:29:39.120
<v Speaker 1>same feelings as romantic love. So of course we're prone

0:29:39.160 --> 0:29:41.800
<v Speaker 1>to be addicted. We want to look at somebody, to

0:29:41.920 --> 0:29:44.480
<v Speaker 1>hear somebody, to have somebody respond to us. If you're

0:29:44.480 --> 0:29:46.720
<v Speaker 1>an alien who came to Earth and he looked at

0:29:46.760 --> 0:29:50.200
<v Speaker 1>the way human touched their phone, always in their hand,

0:29:50.680 --> 0:29:54.400
<v Speaker 1>caressing it, reaching forward with a panic look in their eye,

0:29:54.760 --> 0:29:57.280
<v Speaker 1>responding to it with a smile, you would say, the

0:29:57.280 --> 0:29:59.920
<v Speaker 1>same thing is happening. Well, it's very different, but it may.

0:30:00.040 --> 0:30:01.880
<v Speaker 1>We used to me that some of the same brain systems.

0:30:02.000 --> 0:30:04.640
<v Speaker 1>I mean, you know when you feel fear, you feel fear.

0:30:04.920 --> 0:30:08.360
<v Speaker 1>As Helen found, love is fundamentally about the survival of

0:30:08.400 --> 0:30:11.520
<v Speaker 1>our species. So it's handled by the same part of

0:30:11.520 --> 0:30:15.880
<v Speaker 1>our brain as hunger, thirst, and addiction. And it's those

0:30:16.000 --> 0:30:19.280
<v Speaker 1>very brain centers that Twitter and Facebook on Instagram appeal

0:30:19.360 --> 0:30:23.000
<v Speaker 1>to using behavioral science to keep us engaged, to keep

0:30:23.040 --> 0:30:28.240
<v Speaker 1>us sharing. So when thousand Twitter users retweeted Gillian's open

0:30:28.320 --> 0:30:31.760
<v Speaker 1>letter to the technology companies, they did it because on

0:30:31.760 --> 0:30:35.480
<v Speaker 1>a very deep level, it triggered a survival response, and

0:30:35.560 --> 0:30:38.920
<v Speaker 1>in turn, that feedback loop is addictive. You know, I

0:30:38.920 --> 0:30:41.520
<v Speaker 1>did a study with Matt and I asked the singles

0:30:41.520 --> 0:30:44.440
<v Speaker 1>in America and do you feel that these machines are addictive?

0:30:44.520 --> 0:30:48.320
<v Speaker 1>And some like eight over said yes, And people said

0:30:48.360 --> 0:30:50.600
<v Speaker 1>that they would like to go back to dating without

0:30:50.640 --> 0:30:53.320
<v Speaker 1>any of them, and knowing how tempting it can be

0:30:53.360 --> 0:30:57.000
<v Speaker 1>to keep swiping, keep searching. Helen has some advice for

0:30:57.040 --> 0:31:00.240
<v Speaker 1>those of us looking for love. It's very well own

0:31:00.440 --> 0:31:03.960
<v Speaker 1>in this community that the more choices you have, the

0:31:04.120 --> 0:31:07.080
<v Speaker 1>less likely you are to choose anybody. So one of

0:31:07.160 --> 0:31:09.040
<v Speaker 1>the things that I say to people is, after you

0:31:09.120 --> 0:31:13.240
<v Speaker 1>meet nine people, stop and get to know at least

0:31:13.440 --> 0:31:16.400
<v Speaker 1>one of those people more. Because all the data show

0:31:16.440 --> 0:31:18.200
<v Speaker 1>that the more you get to know somebody, the more

0:31:18.240 --> 0:31:19.760
<v Speaker 1>you like them and the more that you think that

0:31:19.800 --> 0:31:21.840
<v Speaker 1>they're like you. You know, for millions of years, we

0:31:21.840 --> 0:31:24.160
<v Speaker 1>weren't doing this over the internet or even the telephone.

0:31:24.320 --> 0:31:26.200
<v Speaker 1>We were doing this in person. I mean, that's the

0:31:26.200 --> 0:31:29.480
<v Speaker 1>way people met, and the brain is built to meet

0:31:29.560 --> 0:31:34.880
<v Speaker 1>in person. Helen Fisher still believes in love. She just

0:31:34.920 --> 0:31:38.240
<v Speaker 1>doesn't want you to sleep walk into endlessly swiping, endless

0:31:38.320 --> 0:31:42.000
<v Speaker 1>date spurred by an addiction to see what's next, what's possible,

0:31:42.360 --> 0:31:45.760
<v Speaker 1>what's right around the corner. We know we're at a

0:31:45.880 --> 0:31:50.520
<v Speaker 1>dangerous crossroads and that we're susceptible to manipulation, and companies

0:31:50.560 --> 0:31:53.800
<v Speaker 1>know they can manipulate us for good and evil with

0:31:53.880 --> 0:31:57.720
<v Speaker 1>technology that touches us at our evolutionary roots. But the

0:31:57.800 --> 0:32:01.680
<v Speaker 1>future of those technologies isn't in vitable, and we still

0:32:01.720 --> 0:32:05.040
<v Speaker 1>have the power in our hands to decide what to

0:32:05.080 --> 0:32:08.120
<v Speaker 1>allow in our lives, because the ways we decide to

0:32:08.160 --> 0:32:11.120
<v Speaker 1>live with new technologies could have as much impact on

0:32:11.160 --> 0:32:14.560
<v Speaker 1>our lives as the Constitution or the New Deal. What

0:32:14.600 --> 0:32:16.840
<v Speaker 1>we decide to do next and how we do it

0:32:17.080 --> 0:32:20.720
<v Speaker 1>will have consequences. And on this series, we'll be interviewing

0:32:20.800 --> 0:32:23.640
<v Speaker 1>some of the world's greatest thinkers, that people who are

0:32:23.720 --> 0:32:26.920
<v Speaker 1>changing the future of our food, and the researchers helping

0:32:26.960 --> 0:32:31.960
<v Speaker 1>disabled people control machines with their minds. Together, we'll see

0:32:32.000 --> 0:32:34.360
<v Speaker 1>what we can do to pry our eyes open from

0:32:34.360 --> 0:32:38.440
<v Speaker 1>this dangerous sleepwalk I'm as veloshin see you next time.

0:32:50.920 --> 0:32:54.640
<v Speaker 1>Sleepwalkers is a production of our Heart Radio and unusual productions.

0:32:55.080 --> 0:32:57.040
<v Speaker 1>There's so much we don't have time for in our

0:32:57.080 --> 0:32:59.560
<v Speaker 1>episodes but that we'd love to share with you. So

0:33:00.080 --> 0:33:03.160
<v Speaker 1>the latest AI news, live interviews and behind the scenes

0:33:03.160 --> 0:33:07.320
<v Speaker 1>footage find us on Instagram, at Sleepwalker's Podcast or at

0:33:07.320 --> 0:33:11.800
<v Speaker 1>Sleepwalker's podcast dot com. Sleepwalkers is hosted by me Osloshin

0:33:11.920 --> 0:33:14.719
<v Speaker 1>and co hosted by me Kara Price. We produced by

0:33:14.800 --> 0:33:18.240
<v Speaker 1>Julian Weller, with audio editing by Jacopo Penzo, Taylor ship

0:33:18.280 --> 0:33:21.080
<v Speaker 1>Coin and mixing by Tristan McNeil. Our story editor is

0:33:21.120 --> 0:33:24.600
<v Speaker 1>Matthew Riddle. Recording assistance this episode from Chris Hambroke and

0:33:24.680 --> 0:33:28.680
<v Speaker 1>Jackson Bierfeld. Sleepwalkers is executive produced by me Ozveloshin and

0:33:28.720 --> 0:33:32.160
<v Speaker 1>Manges Ticketer. For more podcasts from my Heart Radio, visit

0:33:32.160 --> 0:33:35.200
<v Speaker 1>the I heart Radio app, Apple Podcasts, or wherever you

0:33:35.240 --> 0:33:36.479
<v Speaker 1>listen to your favorite shows.