WEBVTT - 120: The Robopod With Meredith Whittaker

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<v Speaker 1>It's nine eighteen pm at the Malaga Inn and you're

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<v Speaker 1>listening to Night Call. Hello, and welcome to night Call,

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<v Speaker 1>a call in show for artist Topy in Reality. My

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<v Speaker 1>name is Emily Oshida, and with me on the other

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<v Speaker 1>line are Molly Lambert and Tess Lynch. Also stay tuned

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<v Speaker 1>because later in the show we have Meredith Whittaker, the

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<v Speaker 1>research professor and co founder of the AI Now Institute

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<v Speaker 1>at n y u UM. She was also involved in

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<v Speaker 1>the Google walkouts. She's awesome, so please stick around to

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<v Speaker 1>hear her. Come by later. Hi, guys, but first I'm back.

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<v Speaker 1>I'm back from my truck across the country. Thank you

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<v Speaker 1>both for holding down the fort while I communed with

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<v Speaker 1>the Highway after but here after Highway Uh yeah, I

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<v Speaker 1>did a six day trip across the country and it

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<v Speaker 1>wouldn't have been complete if I didn't stay at a

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<v Speaker 1>ghost hotel my last night, uh in Mobile, Alabama. So

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<v Speaker 1>I actually, I mean I wish that I had a

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<v Speaker 1>more colorful story to share with you, because you guys

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<v Speaker 1>are like call us from the hotel, like, like, you know,

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<v Speaker 1>tell us what it's like. It was like it was

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<v Speaker 1>actually just like nice, It was like a nice kind

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<v Speaker 1>of very Southern style old hotel that was surprisingly affordable,

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<v Speaker 1>which is why I went there. I was like, this,

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<v Speaker 1>there's got to be a scam. Like, I'm that's the

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<v Speaker 1>benefit of a ghost I know. I was like, I

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<v Speaker 1>was like, what's the catch because it's so nice. It

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<v Speaker 1>was like one of the cleanest places I stayed, which

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<v Speaker 1>was a big concern over my trip. Um. But I also,

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<v Speaker 1>you know, it's on the It's on all these lists

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<v Speaker 1>of haunted hotels in UM in the South and this once. Yeah,

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<v Speaker 1>it's called the Malaga in it's in Mobile, Alabama. I

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<v Speaker 1>you know, I booked it, and then I went, I

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<v Speaker 1>should have done this in the other order. I booked it,

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<v Speaker 1>and then I went looking for ghost stories about it. Um.

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<v Speaker 1>But there was one I sent you guys that I

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<v Speaker 1>just want to bring up again because it actually did

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<v Speaker 1>kind of freak me out. UM. But this is on

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<v Speaker 1>I wish I remember what sight this was on. But

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<v Speaker 1>somebody said, my sister and I stayed at the Malaga

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<v Speaker 1>in in summer. Uh. They had a great dinner and

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<v Speaker 1>spent their time out on the balcony and joying the evening.

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<v Speaker 1>But in the middle of the night, I was awakened

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<v Speaker 1>by my sister screaming bloody murder because someone had crawled

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<v Speaker 1>into bed with her, and even worse what she realized

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<v Speaker 1>there was no one there. And the next day they

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<v Speaker 1>asked the friend dusk about it, and apparently the room

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<v Speaker 1>they were in was the one with the activity, which

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<v Speaker 1>is apparently room one oh seven at this hotel. So

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<v Speaker 1>I stayed in room one oh three. I was two

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<v Speaker 1>doors down from there, but I was in a historic room.

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<v Speaker 1>There were parts of the hotel that we're part of

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<v Speaker 1>the original structure, and then ones that came in later.

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<v Speaker 1>So I made sure to get one that was like

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<v Speaker 1>in in the good and haunted zone. Uh. There's other

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<v Speaker 1>stuff that I read about it that said like it

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<v Speaker 1>was a there's creaking and activity and apparently because it

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<v Speaker 1>was used as a hideout for Confederate soldiers, um, which

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<v Speaker 1>I was like, it was Mobile, Alabama. Where why are

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<v Speaker 1>they hiding out? But I I don't I guess I

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<v Speaker 1>don't know what how that worked. As with all things

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<v Speaker 1>in the South, is incredibly haunted, as with all things

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<v Speaker 1>in America, it was incredibly hunted. But um, but nothing

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<v Speaker 1>really weird happened while I was there. As I said,

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<v Speaker 1>it was pretty chill and just sort of nice to

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<v Speaker 1>be somewhere that was like not a chain hotel. It

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<v Speaker 1>was just like pleasant. But a weird thing did happen

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<v Speaker 1>when I there was like a portrait of like a

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<v Speaker 1>Southern bell on the wall next to my bed, and

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<v Speaker 1>I was just like lying in bed looking at my

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<v Speaker 1>phone and then I just like aimlessly sort of put

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<v Speaker 1>my phone up and tried to take a picture of it,

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<v Speaker 1>and my phone would not take a picture of it.

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<v Speaker 1>I tried and tried, and it did this weird glitchy

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<v Speaker 1>thing that my phone has never done before, where like

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<v Speaker 1>the image on it seemed to slow down. It wasn't like, um,

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<v Speaker 1>it wasn't in sync with like how I was moving

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<v Speaker 1>my phone around. It was sort of like there was

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<v Speaker 1>a big delay and it was like in slow mo.

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<v Speaker 1>And then I just turned it and I pointed it

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<v Speaker 1>at another part of the room and it took a

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<v Speaker 1>picture just fine. Then I went back to take a

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<v Speaker 1>picture of the portrait and it couldn't take a picture

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<v Speaker 1>of the portrait, so, um, I have like a blurry,

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<v Speaker 1>dark photo that it tried to take but it would

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<v Speaker 1>not get a proper photo. So that's as weird as

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<v Speaker 1>it got. That's pretty weird. That's pretty weird. Yeah, but

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<v Speaker 1>I wanted to I wanted a real encounter. I want,

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<v Speaker 1>I want to believe. But I guess next time, whenever

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<v Speaker 1>I make my trip back, I'll try to hit all

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<v Speaker 1>the haunts haunted portrait good enough, Yeah, I'll take it. Um.

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<v Speaker 1>Speaking of haunted things and and the cousin of haunted

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<v Speaker 1>things witchy things, it's been a while since we've had

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<v Speaker 1>a Moon minute. Minute. I think it's time for a

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<v Speaker 1>Moon minute because baby witches were trying to hex them moon. Yeah, baby,

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<v Speaker 1>which is from Witchtok, which is the witch part of TikTok. Yeah,

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<v Speaker 1>everything comes from TikTok. Now, apparently this is just gonna

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<v Speaker 1>pivot to be a hundred percent TikTok podcast because they're

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<v Speaker 1>giving us lots of material recently. Yeah, I just thought.

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<v Speaker 1>I also, like, I was not online a lot, but

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<v Speaker 1>I just I did see a lot of stuff. Every

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<v Speaker 1>time I would go on Twitter, people just being like

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<v Speaker 1>what's up with the moon? And I didn't know what

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<v Speaker 1>people were talking about most of the time. But then

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<v Speaker 1>and then I caught onto this thing that was going

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<v Speaker 1>on with with the baby witches, where apparently it became

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<v Speaker 1>a thing on TikTok to hex the moon. Um. They

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<v Speaker 1>first tried to hex the fae, which are like, uh

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<v Speaker 1>like kind of fairies, like the fair folk Celtics specific

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<v Speaker 1>fairy folks. Yes, yeah, and then and then they decided

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<v Speaker 1>to try the moon. Uh. And it's not clear to

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<v Speaker 1>me why other than for lulls um, which just feels

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<v Speaker 1>like for the lulls feels like a very chaotic spirit

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<v Speaker 1>to go into being a baby, which but I guess

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<v Speaker 1>that's the nature of being a baby, which um. But

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<v Speaker 1>people were getting really mad and there was a rumor

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<v Speaker 1>floating around Twitter, which I have no idea if it's

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<v Speaker 1>true or not, that a twelve year old girl was

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<v Speaker 1>was killed after trying to hex the moon. I hope

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<v Speaker 1>this feels very creepy pasta ish, but I don't so

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<v Speaker 1>I have no I mean, if that's true, it's horrible.

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<v Speaker 1>I also don't know if the moon is responsible, but

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<v Speaker 1>either way, bad bad news. But um, but still like this,

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<v Speaker 1>this kind of urban legends sort of grew up around

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<v Speaker 1>these moon hexes that are going on. Well, the reasons

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<v Speaker 1>why you shouldn't hex the moon are pretty straightforward. I guess,

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<v Speaker 1>um it's because any well, anytime you do evil magic,

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<v Speaker 1>it's going to come back to you and uh come

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<v Speaker 1>back to you times three, they say. But hacking the

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<v Speaker 1>moon also angers the gods that rule the moon, who

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<v Speaker 1>are Apollo and Artemis. I think, um, Artemis rules the moon,

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<v Speaker 1>Apollo rules the Sun, and Apollo is twins with Artemis.

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<v Speaker 1>That's right, so he gets mad if you do anything

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<v Speaker 1>to insult his sister. Yeah. But also so now the baby,

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<v Speaker 1>which is we're saying they were going to curse the

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<v Speaker 1>sun and if you mess with Apollo, apparently Apollo rules

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<v Speaker 1>you know, the arts and creativity, but also healing and medicine.

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<v Speaker 1>Uh so not a super smart thing to do if

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<v Speaker 1>that time. Yeah, Um, personally I would not funk with

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<v Speaker 1>the moon. Well the moon is I just don't. What

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<v Speaker 1>did the moon do to you? The whon is a

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<v Speaker 1>friend to all witches and other people. I'm just picturing

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<v Speaker 1>that part in the craft where Nancy's like just overcome

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<v Speaker 1>with how much power she has, you know, and you're like,

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<v Speaker 1>why I can do anything? And that's maybe how you

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<v Speaker 1>think you should hack the moon. I just I also

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<v Speaker 1>don't if they're baby, which is can they even this is?

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<v Speaker 1>This is the sort of cycle I get into it.

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<v Speaker 1>Think eat about that this, like, how are they even

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<v Speaker 1>being successful at hexing them? That they had come into

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<v Speaker 1>their power yet? But yeah, like I don't I don't

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<v Speaker 1>know how they would even be capable of doing such

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<v Speaker 1>a thing. I just think if there are enough of

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<v Speaker 1>them that the collective energy. But also Mary Anne Williamson

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<v Speaker 1>weighed in on this, Oh yeah, yeah, which is funny. Yeah,

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<v Speaker 1>she said, uh, that's got to be some really drunk

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<v Speaker 1>or stoned hashtag baby, which is if they think that

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<v Speaker 1>in the midst of a hashtag secret police invasion of Portland's,

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<v Speaker 1>the best they can do is hex the moon all

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<v Speaker 1>caps face palma, om gi uh, which is true. I

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<v Speaker 1>don't know why these again, I don't get it. Like

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<v Speaker 1>I remember when that like all the Bushwick, which is,

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<v Speaker 1>we're trying to hex Donald Trump at one point, like

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<v Speaker 1>you know, maybe in year one or two of the

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<v Speaker 1>of the Trump presidency, and that I understood. I actually

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<v Speaker 1>I feel that somehow if everybody, like enough people at

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<v Speaker 1>the same time or concentrating on somebody's head exploding allegedly, uh,

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<v Speaker 1>that that could happen. Maybe, Like I I do think

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<v Speaker 1>that maybe there's energy that are you talking about scanners magic. Yes, yes, exactly,

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<v Speaker 1>that's the only that's my Scannermancy, that's my that's my trade. Um.

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<v Speaker 1>But uh yeah. But and so that felt, you know,

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<v Speaker 1>like there was a clear political motive there. But the

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<v Speaker 1>moon thing is beyond me. It's the chaos of the youth. Um.

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<v Speaker 1>There's something else going on in the sky, which is well,

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<v Speaker 1>they will no longer be going on in the sky

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<v Speaker 1>when you hear this podcast. But there has been a

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<v Speaker 1>comment that Emily has been trying to see I've been guys,

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<v Speaker 1>haven't you guys haven't I haven't seen it. I haven't

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<v Speaker 1>been able to see it. I haven't been anywhere dark enough.

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<v Speaker 1>But the planets are really bright right now. Yeah. I

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<v Speaker 1>saw Jupiter when I was driving U. I listened to

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<v Speaker 1>you know that that syndicated MPR show where they just

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<v Speaker 1>say what planets are out, and they said that Jupiter

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<v Speaker 1>was out, So I like, I made a point to

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<v Speaker 1>check out Jupiter because you could. It's it's like a

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<v Speaker 1>very bright star. It's like a very bright, warm looking

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<v Speaker 1>star when it's out. But it's it's always cool when

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<v Speaker 1>you can see it. When I see the planets in

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<v Speaker 1>the moon. The last thing I want to do is

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<v Speaker 1>hex them. Yeah right, I wanna, I wanna get them whatever.

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<v Speaker 1>We are pro planet on this podcast. Um, speaking of TikTok,

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<v Speaker 1>Let's take a quick break and then we will be

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<v Speaker 1>back with more TikTok updates. Welcome back to Night Call.

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<v Speaker 1>We got a night email updating us on cottage Core,

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<v Speaker 1>which we spoke about. It turns out without really knowing

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<v Speaker 1>anything about it, which is something we're trying to be

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<v Speaker 1>better about doing. But we love when you write in

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<v Speaker 1>and tell us things that we didn't know. So here's

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<v Speaker 1>the email we got. Hi, everyone, I was a little

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<v Speaker 1>surprised by how you talked about cottage core, though I

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<v Speaker 1>had heard rumbles it was starting to be co opted

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<v Speaker 1>by fascists. Cottage core as I've encountered it on TikTok. Yes,

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<v Speaker 1>I'm another gen Z listener is primarily a queer, specifically

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<v Speaker 1>sapphic aesthetic. I think cottage cores appeal is a something

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<v Speaker 1>of an escapist fan of See you and your partner

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<v Speaker 1>can escape a homophobic, transphobic, misogynistic, capitalistic society by isolating

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<v Speaker 1>yourselves in a cottage where you raise chickens and embroidered together. UM.

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<v Speaker 1>Cottage core, though, can glorify history based on exploitation of

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<v Speaker 1>black and indigenous folks, which is something you discussed on

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<v Speaker 1>the episode, and I think is important to discuss in

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<v Speaker 1>the context of its use as a queer aesthetic, especially

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<v Speaker 1>since the prominent cottage core influencers are predominantly white. Thanks

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<v Speaker 1>for all the work you do. Thanks so much, listener, Katie. Yeah,

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<v Speaker 1>I don't. I still don't really have a grasp on

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<v Speaker 1>on cottage core that this really helped out a lot.

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<v Speaker 1>Uh And there was she also linked to uh article

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<v Speaker 1>in paper about about just explaining cottage core. I don't

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<v Speaker 1>remember if I said it on the pot or not,

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<v Speaker 1>but like I kind of hypothesize that that a lot

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<v Speaker 1>of Miyazaki movies are a cottage core just because of

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<v Speaker 1>this sort of almost did how from history fetishization of

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<v Speaker 1>like a kind of Bavarian slash Italian aesthetic, like a

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<v Speaker 1>very Euro old world euro aesthetic, um like reappropriating it

0:13:16.000 --> 0:13:20.520
<v Speaker 1>for his own kind of mythology and everything. I think

0:13:20.760 --> 0:13:24.319
<v Speaker 1>there's always tons of that going on in all contexts.

0:13:24.440 --> 0:13:26.680
<v Speaker 1>I think the people were kind of commenting on the

0:13:26.679 --> 0:13:28.960
<v Speaker 1>fact that it does tend to be a pretty white aesthetic,

0:13:29.120 --> 0:13:31.640
<v Speaker 1>which is what from from the little that I had

0:13:31.679 --> 0:13:37.200
<v Speaker 1>seen I had also witnessed as well. But it is Walden,

0:13:37.320 --> 0:13:42.200
<v Speaker 1>the original cottage Core. It's Henry David Thorreau, the first

0:13:42.240 --> 0:13:45.840
<v Speaker 1>contin Yeah, because it's like that's the thing, Like, it's

0:13:45.880 --> 0:13:48.800
<v Speaker 1>like the same thing as country music. It's like, you know,

0:13:48.880 --> 0:13:52.560
<v Speaker 1>the myth of Walden and the then the myth of

0:13:52.559 --> 0:13:56.160
<v Speaker 1>of actually going out into the wilderness is is kind

0:13:56.160 --> 0:13:59.920
<v Speaker 1>of like inescapable from these things. Like country music was

0:14:00.040 --> 0:14:02.400
<v Speaker 1>never really about anybody living in the country. It was

0:14:02.440 --> 0:14:06.400
<v Speaker 1>all about like an imagined as a nostalgia for a

0:14:06.480 --> 0:14:12.520
<v Speaker 1>country life, for like a rural lifestyle or something. Um So,

0:14:12.640 --> 0:14:16.360
<v Speaker 1>I think that that's just like it's almost inescapable. Anytime

0:14:16.400 --> 0:14:20.600
<v Speaker 1>you try to like codify a vibe that there's going

0:14:20.640 --> 0:14:24.160
<v Speaker 1>to be some mythologizing there. Um Yeah. One thing I

0:14:24.160 --> 0:14:27.440
<v Speaker 1>didn't mention last time, but there was like a like

0:14:27.480 --> 0:14:32.240
<v Speaker 1>a Japanese subculture called Mori girls that I was like,

0:14:32.360 --> 0:14:36.600
<v Speaker 1>is that what this is? That? Are that are forest girls? Totally? Yeah.

0:14:36.720 --> 0:14:41.080
<v Speaker 1>That was like sort of the anti gothic Lolita, like

0:14:41.600 --> 0:14:50.280
<v Speaker 1>very minimal like earth tones and likes clothing. Yeah, it's

0:14:50.280 --> 0:14:54.360
<v Speaker 1>a very familiar Internet esthetic. It's a you know, in

0:14:54.400 --> 0:14:59.720
<v Speaker 1>the in the family of the Autumn Lovers UM, and

0:15:00.000 --> 0:15:02.160
<v Speaker 1>it came up a lot last night because of the

0:15:02.160 --> 0:15:05.040
<v Speaker 1>new Taylor Swift album coming out. I was gonna say,

0:15:05.200 --> 0:15:07.640
<v Speaker 1>is this not cottage core? Is she not going right

0:15:07.640 --> 0:15:11.160
<v Speaker 1>into the cottage core. I'm just gonna say, tread carefully, Molly.

0:15:11.280 --> 0:15:14.640
<v Speaker 1>Every time you mentioned Taylor Swift, you enrage her fans,

0:15:14.640 --> 0:15:16.920
<v Speaker 1>and I don't want them coming for us. I I

0:15:16.960 --> 0:15:20.080
<v Speaker 1>love Taylor, don't. It's not me. I welcome to this

0:15:20.240 --> 0:15:24.240
<v Speaker 1>course with the Swift Eats. People are specifically like, UM,

0:15:24.280 --> 0:15:27.120
<v Speaker 1>the band Muna, who I really love, UM did a

0:15:27.120 --> 0:15:30.080
<v Speaker 1>treet where they were like, the Taylor Swift album is

0:15:30.160 --> 0:15:35.400
<v Speaker 1>for like sapphic cottage core influencers. UM, because a lot

0:15:35.440 --> 0:15:38.120
<v Speaker 1>of people are reading some kind of sapphic vibes into it,

0:15:38.360 --> 0:15:41.600
<v Speaker 1>and UM, people are like because she wrote she wrote

0:15:41.600 --> 0:15:43.720
<v Speaker 1>one song from the perspective of a of a male

0:15:44.160 --> 0:15:48.560
<v Speaker 1>voice where it's um, you know, talking about girls. But

0:15:48.640 --> 0:15:51.480
<v Speaker 1>people were sort of like, what's this all about? But

0:15:51.560 --> 0:15:54.720
<v Speaker 1>I think also it's like, whether that is Taylor's intent

0:15:54.960 --> 0:15:58.640
<v Speaker 1>or not. UM, it's definitely like resonating with a lot

0:15:58.760 --> 0:16:03.160
<v Speaker 1>of people that are into the queer cottage chor aesthetic. Well,

0:16:03.280 --> 0:16:07.800
<v Speaker 1>cottage corep also just is very timely obviously. Yeah, it

0:16:07.840 --> 0:16:10.320
<v Speaker 1>makes I mean, it's a it's almost practical at this

0:16:10.400 --> 0:16:12.840
<v Speaker 1>point that being trapped in your home but also so

0:16:12.920 --> 0:16:16.840
<v Speaker 1>tethered to technology makes you consider that the only other

0:16:16.960 --> 0:16:21.000
<v Speaker 1>option of being trapped at home that is more appealing

0:16:21.000 --> 0:16:23.280
<v Speaker 1>than being tethered to technology is being trapped at home

0:16:23.280 --> 0:16:26.480
<v Speaker 1>in kind of homesteading or like becoming involved in like

0:16:26.640 --> 0:16:30.280
<v Speaker 1>plant matter and like digging in the mulch, but also

0:16:30.360 --> 0:16:33.840
<v Speaker 1>looking kind of cute while you do it. Why not? Now,

0:16:33.960 --> 0:16:36.280
<v Speaker 1>That's what I think is so funny when people like,

0:16:36.720 --> 0:16:40.680
<v Speaker 1>you know, I've seen friends who have like gone and split,

0:16:41.360 --> 0:16:45.120
<v Speaker 1>you know, a cabin somewhere for a weekend. Uh, And

0:16:45.160 --> 0:16:48.960
<v Speaker 1>then there's always like a kind of sub tweetie energy

0:16:49.040 --> 0:16:52.160
<v Speaker 1>of like, oh you went to a cabin for the weekend.

0:16:52.200 --> 0:16:55.280
<v Speaker 1>It's like that's literally the only place you can go

0:16:55.520 --> 0:16:57.680
<v Speaker 1>right now. Like, if you want to go anywhere that's

0:16:57.680 --> 0:16:59.800
<v Speaker 1>not your home, you kind of have to go cottage

0:17:00.160 --> 0:17:03.160
<v Speaker 1>or a little bit. I also just think it's funny

0:17:03.280 --> 0:17:06.199
<v Speaker 1>because it is such a sort of like it's a

0:17:06.240 --> 0:17:09.159
<v Speaker 1>fantasy of no technology in a lot of ways. But

0:17:09.240 --> 0:17:13.440
<v Speaker 1>then it's on TikTok. Yeah, well, the thing's dark academia.

0:17:13.520 --> 0:17:16.800
<v Speaker 1>That's there. That's I also was thinking, like the tailor

0:17:16.840 --> 0:17:20.000
<v Speaker 1>swift aesthetic. I was like, is it light academia? Is

0:17:20.040 --> 0:17:24.360
<v Speaker 1>that her aesthetic is non dark academia. She had a

0:17:24.400 --> 0:17:27.879
<v Speaker 1>tweed coat in one of those photos, so that that

0:17:28.160 --> 0:17:31.400
<v Speaker 1>kind of edges into dark academia. Terry people were people

0:17:31.440 --> 0:17:33.960
<v Speaker 1>were saying, they were like, oh, this album is so autumnal,

0:17:34.280 --> 0:17:37.440
<v Speaker 1>but everybody's trapped at home, so it doesn't really matter

0:17:37.520 --> 0:17:41.960
<v Speaker 1>what season it is. You can be cozy, cozy cottage

0:17:42.000 --> 0:17:45.240
<v Speaker 1>core in the summer, because what are you going to do?

0:17:45.640 --> 0:17:47.879
<v Speaker 1>I think of cottage core is a much more a

0:17:47.960 --> 0:17:53.959
<v Speaker 1>summary vibe. Yeah, because cottage core is the like linen

0:17:54.080 --> 0:17:57.640
<v Speaker 1>dresses with the bit it's breathable and and dark academia

0:17:57.760 --> 0:18:00.639
<v Speaker 1>is much more layer friendly cottage cores like Paul and

0:18:00.720 --> 0:18:03.240
<v Speaker 1>in the air and you're wearing a dress and you're

0:18:03.320 --> 0:18:09.800
<v Speaker 1>like digging up root or whatever. Yeah. Um, one of

0:18:09.880 --> 0:18:12.120
<v Speaker 1>us is going to get on TikTok one of these

0:18:12.200 --> 0:18:14.639
<v Speaker 1>days and actually figure out this ship for ourselves. I

0:18:15.160 --> 0:18:18.199
<v Speaker 1>would be really curious as to what subculture can we

0:18:18.240 --> 0:18:24.200
<v Speaker 1>just create a nightcall TikTok and share it. Somehow, I'm

0:18:24.240 --> 0:18:31.720
<v Speaker 1>afraid to commit. We also got another email about our

0:18:31.840 --> 0:18:36.560
<v Speaker 1>our COVID reality right now from a listener who writes, Hello, Nightcall.

0:18:36.920 --> 0:18:39.680
<v Speaker 1>This email is two episodes too late. I'm just catching

0:18:39.800 --> 0:18:41.640
<v Speaker 1>up on the episodes, but I thought I would send

0:18:41.640 --> 0:18:45.760
<v Speaker 1>it anyway. I really appreciate when Emily talked about international

0:18:45.800 --> 0:18:49.000
<v Speaker 1>students in relation to the on campus experience. As someone

0:18:49.040 --> 0:18:52.119
<v Speaker 1>who works at a university and as an international student,

0:18:52.160 --> 0:18:55.040
<v Speaker 1>I've seen the effect COVID Nightina has had on international students.

0:18:55.560 --> 0:18:58.800
<v Speaker 1>When universities kicked out students in dorms, international students and

0:18:58.840 --> 0:19:02.360
<v Speaker 1>other students without a network were placed in precarious situations

0:19:02.440 --> 0:19:06.120
<v Speaker 1>because they have no family to turn to for support. Moreover,

0:19:06.280 --> 0:19:09.520
<v Speaker 1>many international students where I live are essential workers, and

0:19:09.600 --> 0:19:13.280
<v Speaker 1>new visa laws and immigration changes made their situation even worse.

0:19:13.800 --> 0:19:16.400
<v Speaker 1>For me personally, I was accepted into my dream graduate

0:19:16.440 --> 0:19:18.560
<v Speaker 1>program at n y U and was super excited to

0:19:18.560 --> 0:19:21.959
<v Speaker 1>move to New York City and to have new exciting experiences. However,

0:19:22.040 --> 0:19:25.000
<v Speaker 1>due to my family's experiences with US immigration and the

0:19:25.000 --> 0:19:27.679
<v Speaker 1>harassment we face, I ultimately had to reject the offer.

0:19:28.200 --> 0:19:30.560
<v Speaker 1>My experience is nothing compared to thousands of students who

0:19:30.600 --> 0:19:32.639
<v Speaker 1>might have to leave the country due to ices online

0:19:32.680 --> 0:19:37.320
<v Speaker 1>learning stipulation. Thank you so much. That letter was from Hussein. Uh,

0:19:37.480 --> 0:19:40.119
<v Speaker 1>it's great to hear from somebody who had actual experience

0:19:40.119 --> 0:19:43.600
<v Speaker 1>with this. Yeah. I think it's I mean, what is

0:19:44.440 --> 0:19:47.679
<v Speaker 1>I vaguely keep catching up on what's been going on

0:19:47.760 --> 0:19:52.240
<v Speaker 1>with um, with school, the entire notion of school. UM.

0:19:52.280 --> 0:19:55.960
<v Speaker 1>I know that Uh, several universities sued the Trump administration

0:19:56.119 --> 0:20:00.880
<v Speaker 1>for this policy. Uh where ice was you know, going

0:20:00.960 --> 0:20:06.480
<v Speaker 1>to potentially deport students who were on a visa. So

0:20:06.640 --> 0:20:08.560
<v Speaker 1>I mean, but I don't know if that goes for

0:20:08.640 --> 0:20:11.680
<v Speaker 1>everybody or just for the people who are at those

0:20:11.680 --> 0:20:15.359
<v Speaker 1>schools that are that are filing lawsuits. UM. It just

0:20:15.400 --> 0:20:19.199
<v Speaker 1>seems so again, this like piecemeal approach to everything right

0:20:19.240 --> 0:20:24.240
<v Speaker 1>now is just like so disorienting and so confusing and stressful,

0:20:24.320 --> 0:20:28.080
<v Speaker 1>especially if you are somebody in this situation where you

0:20:28.119 --> 0:20:31.080
<v Speaker 1>don't know if you are able to stay in the

0:20:31.160 --> 0:20:35.320
<v Speaker 1>country but you still have to like finish school. You know.

0:20:35.480 --> 0:20:38.320
<v Speaker 1>There are also so many, so many reversals every time

0:20:38.359 --> 0:20:41.119
<v Speaker 1>a decision like this is made, and I think particularly

0:20:41.160 --> 0:20:44.000
<v Speaker 1>when it comes to foreign students who are going to

0:20:44.200 --> 0:20:47.639
<v Speaker 1>who are making these huge moves. It's not not a

0:20:47.680 --> 0:20:49.760
<v Speaker 1>great position to be in if you know that any

0:20:49.760 --> 0:20:52.960
<v Speaker 1>decision that is made could be easily reversed at any point.

0:20:53.000 --> 0:20:55.960
<v Speaker 1>I mean, you making the commitment to make that kind

0:20:55.960 --> 0:21:00.080
<v Speaker 1>of a move, um, under such precarious circumstances as at

0:21:00.119 --> 0:21:02.639
<v Speaker 1>the impossible task. Yeah, it seems it seems like a

0:21:02.640 --> 0:21:05.119
<v Speaker 1>lot of the stuff is the Trump administration will like

0:21:05.200 --> 0:21:07.840
<v Speaker 1>declare something and then people have to spend a lot

0:21:07.840 --> 0:21:11.200
<v Speaker 1>of time being like, wait, is that even legal? Um? Yea,

0:21:11.520 --> 0:21:13.439
<v Speaker 1>and by the time you figure it out, it's just

0:21:13.640 --> 0:21:17.679
<v Speaker 1>it's um. It's a terrible chaotic approach to everything, and

0:21:17.720 --> 0:21:23.439
<v Speaker 1>the confusion I think is intentionally uh, definitely so uh man,

0:21:23.560 --> 0:21:25.359
<v Speaker 1>thank you so much for writing in Hussein. That's a

0:21:25.359 --> 0:21:28.280
<v Speaker 1>great perspective for us to have. We also have another

0:21:28.760 --> 0:21:31.399
<v Speaker 1>call and by the way, if you would like to

0:21:31.440 --> 0:21:34.840
<v Speaker 1>talk about your experiences as an essential worker or otherwise

0:21:34.880 --> 0:21:37.600
<v Speaker 1>working during the pandemic, please give us a night call

0:21:37.640 --> 0:21:39.520
<v Speaker 1>at one two four oh four six night. You can

0:21:39.560 --> 0:21:42.440
<v Speaker 1>also email us at Night Call Podcast at gmail dot com.

0:21:42.760 --> 0:21:44.920
<v Speaker 1>We are more than happy to keep you anonymous. UM.

0:21:44.960 --> 0:21:46.800
<v Speaker 1>Just let us know at the top of your letter

0:21:46.960 --> 0:21:51.320
<v Speaker 1>or or your experiences as a student, or just any

0:21:51.320 --> 0:21:55.600
<v Speaker 1>stories about COVID times and trying to get stuff done

0:21:55.680 --> 0:21:58.280
<v Speaker 1>under impossible circumstances. We would love to hear from you,

0:21:58.760 --> 0:22:01.240
<v Speaker 1>and we're happy to keep you anonymous. So this comes

0:22:01.240 --> 0:22:04.400
<v Speaker 1>from one of those anonymous writers they write. I work

0:22:04.440 --> 0:22:06.679
<v Speaker 1>in a clinic for a surgeon in Orange County. He

0:22:06.760 --> 0:22:09.640
<v Speaker 1>never stopped seeing patients. I got COVID the first week

0:22:09.680 --> 0:22:11.480
<v Speaker 1>of March from a patient. I was out of work

0:22:11.520 --> 0:22:13.960
<v Speaker 1>for six weeks and I'm still having breathing problems four

0:22:14.000 --> 0:22:16.840
<v Speaker 1>months later. I had a second exposure three weeks ago

0:22:16.880 --> 0:22:19.440
<v Speaker 1>with another patient who was positive. I ran a fever

0:22:19.560 --> 0:22:21.520
<v Speaker 1>for three days and had to have two tests to

0:22:21.560 --> 0:22:23.960
<v Speaker 1>make sure I was negative before I could return to work.

0:22:24.480 --> 0:22:27.200
<v Speaker 1>We have screening questions that were supposed to ask patients,

0:22:27.240 --> 0:22:29.720
<v Speaker 1>including if patients have traveled and if they have a fever.

0:22:30.080 --> 0:22:32.119
<v Speaker 1>But even if they have traveled or if they have

0:22:32.160 --> 0:22:35.040
<v Speaker 1>a fever, we haven't turned anyone away. I'm afraid I'm

0:22:35.080 --> 0:22:37.000
<v Speaker 1>going to get sick again, and I'm concerned that I

0:22:37.000 --> 0:22:39.159
<v Speaker 1>will bring it home to my family. Thank you. I

0:22:39.200 --> 0:22:42.040
<v Speaker 1>just wanted to share this is so psycho as somebody

0:22:42.080 --> 0:22:46.119
<v Speaker 1>who has been in doctor's offices more times than I

0:22:46.119 --> 0:22:49.720
<v Speaker 1>would have liked to be in the last of five

0:22:50.119 --> 0:22:53.879
<v Speaker 1>Oh my god, almost like five months now. Uh I.

0:22:54.800 --> 0:22:56.560
<v Speaker 1>The first thing I had to do was get a

0:22:57.240 --> 0:23:00.800
<v Speaker 1>tooth pulled, and they're why is that? You know? Over

0:23:00.800 --> 0:23:03.040
<v Speaker 1>the phone when I made the appointment, there was that

0:23:03.200 --> 0:23:04.960
<v Speaker 1>checklist like have you been out of the country? Do

0:23:05.000 --> 0:23:09.359
<v Speaker 1>you have any of these symptoms? Um? And I, you know,

0:23:09.840 --> 0:23:14.200
<v Speaker 1>being this is very early in lockdown. I the day

0:23:14.280 --> 0:23:17.119
<v Speaker 1>of I kind of had a sore throat, but it

0:23:17.200 --> 0:23:21.080
<v Speaker 1>was because of my tooth that was that was giving

0:23:21.080 --> 0:23:23.520
<v Speaker 1>me problems, Like that's a that's a symptom of a

0:23:23.720 --> 0:23:27.000
<v Speaker 1>of a kind of irritated wisdom tooth, as you can

0:23:27.040 --> 0:23:28.879
<v Speaker 1>have a sore throat sometimes and so that I just

0:23:28.920 --> 0:23:30.800
<v Speaker 1>started up that morning. So I went there to the

0:23:30.840 --> 0:23:33.520
<v Speaker 1>office and I like was honest about that. I was like,

0:23:33.560 --> 0:23:36.200
<v Speaker 1>I think it's just the tooth though, and they almost

0:23:36.240 --> 0:23:38.680
<v Speaker 1>didn't let me in, like they were taking it super

0:23:38.720 --> 0:23:42.000
<v Speaker 1>super seriously there at this um at this oral surgeon,

0:23:42.920 --> 0:23:46.560
<v Speaker 1>which I appreciated a lot, they still saw me and

0:23:46.600 --> 0:23:48.080
<v Speaker 1>like the sore throat went away as soon as the

0:23:48.080 --> 0:23:49.719
<v Speaker 1>tooth was out, So that was totally what it was.

0:23:49.800 --> 0:23:54.000
<v Speaker 1>But um, the fact that they're asking questions and then

0:23:54.040 --> 0:23:56.280
<v Speaker 1>letting people in any way. It's like, what is what

0:23:56.480 --> 0:23:58.960
<v Speaker 1>is the point. It's like people are not thinking about

0:23:58.960 --> 0:24:02.440
<v Speaker 1>what the actual point of any of these safety majors

0:24:02.480 --> 0:24:07.439
<v Speaker 1>are now. Um, and that's so upsetting, especially if you

0:24:07.560 --> 0:24:10.480
<v Speaker 1>don't really have an option not to distance from people

0:24:10.520 --> 0:24:12.800
<v Speaker 1>when you're a job like this, right, And it's also

0:24:12.880 --> 0:24:16.200
<v Speaker 1>like you're taking people at their word, you know. I mean, yeah,

0:24:18.320 --> 0:24:20.959
<v Speaker 1>this is is the lack of testing as well, UM,

0:24:21.000 --> 0:24:24.879
<v Speaker 1>because like Emily said, so many people are having symptoms

0:24:24.920 --> 0:24:28.600
<v Speaker 1>of anxiety or neglected problem, you know, health problems that

0:24:28.640 --> 0:24:31.560
<v Speaker 1>you have to deal with later. Like I had a migraine, um,

0:24:31.600 --> 0:24:34.159
<v Speaker 1>a couple of weeks ago, and my because I was

0:24:34.200 --> 0:24:36.720
<v Speaker 1>having a migraine, my heart started racing and I have

0:24:36.800 --> 0:24:39.560
<v Speaker 1>like the blood oximeter and then of course you look up,

0:24:39.680 --> 0:24:41.960
<v Speaker 1>you know, you're just feeling like you have a migraine,

0:24:41.960 --> 0:24:44.959
<v Speaker 1>You're feeling under the weather. And then I was like, oh, okay,

0:24:45.000 --> 0:24:47.600
<v Speaker 1>well this all of this could also be related to COVID.

0:24:47.920 --> 0:24:49.800
<v Speaker 1>But then it was really hard to get tested and

0:24:49.800 --> 0:24:52.360
<v Speaker 1>I was very lucky to be able to. But I mean,

0:24:52.359 --> 0:24:55.479
<v Speaker 1>when you interview people about problems that they're facing and

0:24:55.600 --> 0:24:58.080
<v Speaker 1>for which they are seeing a doctor. There are, of

0:24:58.080 --> 0:25:00.879
<v Speaker 1>course things like a fever that you can measure, but

0:25:00.920 --> 0:25:03.760
<v Speaker 1>then there are also just general how are you feeling questions,

0:25:03.840 --> 0:25:06.119
<v Speaker 1>And if you're seeing a doctor, chances are you're not

0:25:06.160 --> 0:25:08.240
<v Speaker 1>feeling great. So you have to be able to know

0:25:08.359 --> 0:25:11.880
<v Speaker 1>what's going on on an individual level before you see

0:25:11.880 --> 0:25:13.919
<v Speaker 1>a patient. Otherwise you're putting everyone at risk, and that

0:25:13.920 --> 0:25:17.120
<v Speaker 1>can really only be accomplished with a test. Yeah, I mean,

0:25:17.160 --> 0:25:20.120
<v Speaker 1>I really feel for people that are working in doctor's

0:25:20.200 --> 0:25:25.280
<v Speaker 1>offices and hospitals right now, because you need a hospital

0:25:25.320 --> 0:25:28.720
<v Speaker 1>to be that safe zone. But yeah, there's so many

0:25:29.520 --> 0:25:33.960
<v Speaker 1>factors that we don't have under control because we don't

0:25:34.000 --> 0:25:36.640
<v Speaker 1>have testing, and there's so much protocol that we don't

0:25:36.680 --> 0:25:40.320
<v Speaker 1>have yet either. Like I you know, I am way

0:25:40.359 --> 0:25:43.159
<v Speaker 1>overdue for just a dentist checkup at this point, and

0:25:43.160 --> 0:25:45.280
<v Speaker 1>I've been putting it off because I was like, it's

0:25:45.280 --> 0:25:47.200
<v Speaker 1>not essential, like I had to get my tooth pull

0:25:47.240 --> 0:25:49.240
<v Speaker 1>that I haven't had a dentist checkup in a while,

0:25:49.920 --> 0:25:52.840
<v Speaker 1>and now it's just like, well, when when can I

0:25:52.880 --> 0:25:55.199
<v Speaker 1>do that? It's like this, it's the same thing as

0:25:55.200 --> 0:25:57.560
<v Speaker 1>like a regular checkup or getting a physical or something

0:25:57.640 --> 0:26:01.200
<v Speaker 1>like that. It's like we I think when we everybody

0:26:01.320 --> 0:26:02.960
<v Speaker 1>was under this assumption that it was only going to

0:26:02.960 --> 0:26:04.520
<v Speaker 1>be for three months. It's like, okay, well I can

0:26:04.560 --> 0:26:06.679
<v Speaker 1>put off a physical for three months, who cares. But

0:26:06.720 --> 0:26:08.199
<v Speaker 1>now it's like, okay, if this is going to be

0:26:08.240 --> 0:26:09.920
<v Speaker 1>going on for a year, a year and a half,

0:26:10.040 --> 0:26:14.119
<v Speaker 1>like what what is the best practice in that case

0:26:14.240 --> 0:26:17.240
<v Speaker 1>just to not take care of yourself? Like and there's no,

0:26:17.440 --> 0:26:19.960
<v Speaker 1>there's no there's been no guidance around that from any

0:26:20.000 --> 0:26:22.919
<v Speaker 1>of that at all, especially here where there are things like,

0:26:23.040 --> 0:26:25.000
<v Speaker 1>for instance, I was talking with someone um and they

0:26:25.040 --> 0:26:28.080
<v Speaker 1>weren't able to get their contact lens prescription because it

0:26:28.119 --> 0:26:30.880
<v Speaker 1>was like a month, you know, past its expiration date.

0:26:30.920 --> 0:26:34.240
<v Speaker 1>In Canada, my friend said, you can if you're slightly

0:26:34.240 --> 0:26:37.119
<v Speaker 1>past your prescription date, and there are circumstances like this,

0:26:37.200 --> 0:26:40.040
<v Speaker 1>they will just send you your contact lenses. But because

0:26:40.040 --> 0:26:43.000
<v Speaker 1>they're classified as something that almost like is ingestible, they

0:26:43.000 --> 0:26:47.000
<v Speaker 1>go like inside your body, then they are regulated, so

0:26:47.040 --> 0:26:49.240
<v Speaker 1>it's she has to go out now to the eye doctor.

0:26:49.440 --> 0:26:51.159
<v Speaker 1>And there's things like that where it's like, you know,

0:26:51.240 --> 0:26:54.160
<v Speaker 1>for certain types of medications that require a doctor's visit,

0:26:54.240 --> 0:26:57.080
<v Speaker 1>the patient might want to not take the chance on

0:26:57.160 --> 0:26:59.720
<v Speaker 1>exposing their doctor, but then they're not going to get

0:26:59.760 --> 0:27:01.479
<v Speaker 1>them at cation that they need. So there are all

0:27:01.520 --> 0:27:05.080
<v Speaker 1>of these complicating factors that might make patients go see

0:27:05.080 --> 0:27:07.399
<v Speaker 1>the doctor even if they weren't able to get a test,

0:27:07.400 --> 0:27:09.720
<v Speaker 1>even if they didn't feel great. And that's such a

0:27:09.840 --> 0:27:13.040
<v Speaker 1>terrifying predicament because there's really no right way to handle it.

0:27:13.200 --> 0:27:15.680
<v Speaker 1>And I think we're also seeing now like the three

0:27:15.680 --> 0:27:17.960
<v Speaker 1>months thing. I feel like we always kind of thought

0:27:18.000 --> 0:27:20.560
<v Speaker 1>was bullshit. It was just like to buy people enough

0:27:20.600 --> 0:27:23.399
<v Speaker 1>time because they can't think beyond like three months to

0:27:23.480 --> 0:27:25.520
<v Speaker 1>something everyone can handle. If they had said it was

0:27:25.560 --> 0:27:27.520
<v Speaker 1>going to be a year or two, people would have

0:27:27.520 --> 0:27:31.720
<v Speaker 1>flipped out more. I definitely felt strongly that it was

0:27:31.720 --> 0:27:34.600
<v Speaker 1>going to be a year, uh, just from the get

0:27:35.320 --> 0:27:39.920
<v Speaker 1>really yeah, I did not, because I was like, they're

0:27:39.960 --> 0:27:42.800
<v Speaker 1>they're trying to be comforting, but like nothing they're saying

0:27:42.840 --> 0:27:46.600
<v Speaker 1>has any concrete plan, you know. But I didn't think

0:27:46.600 --> 0:27:48.720
<v Speaker 1>that even even as somebody who thought it was going

0:27:48.760 --> 0:27:51.840
<v Speaker 1>to be a year, I was still like, five months

0:27:51.880 --> 0:27:54.800
<v Speaker 1>from now, will at least have testing or something, you know,

0:27:55.080 --> 0:27:59.439
<v Speaker 1>we'll have like regulated testing. Um. And the fact that

0:27:59.480 --> 0:28:02.840
<v Speaker 1>we are five months into this and it's still so

0:28:02.960 --> 0:28:06.320
<v Speaker 1>ticky tack and doesn't seem like it's going to get better.

0:28:06.720 --> 0:28:08.919
<v Speaker 1>And if you get a test, there's still enough of

0:28:08.960 --> 0:28:11.679
<v Speaker 1>a delay in getting your results that it's it's so

0:28:11.800 --> 0:28:15.080
<v Speaker 1>much less useful than the rapid results tests, which I

0:28:15.080 --> 0:28:17.160
<v Speaker 1>think are still like a hundred and twenty five dollars

0:28:17.160 --> 0:28:19.520
<v Speaker 1>here um that you can get an urgent care and

0:28:19.560 --> 0:28:24.240
<v Speaker 1>are those accurate ones? Like, I think that those are

0:28:24.280 --> 0:28:27.080
<v Speaker 1>more accurate. I've heard if people who were Yeah, the

0:28:27.080 --> 0:28:30.000
<v Speaker 1>nose is more is more accurate, The nose swab is

0:28:30.040 --> 0:28:34.000
<v Speaker 1>more accurate. The cheek swabs, though there have been instances

0:28:34.040 --> 0:28:38.480
<v Speaker 1>of people um getting positive cheek swab test results and

0:28:38.600 --> 0:28:41.640
<v Speaker 1>they never actually swabbed their cheeks. They like got in line,

0:28:41.680 --> 0:28:44.040
<v Speaker 1>had an appointment turned around because of the weight was

0:28:44.080 --> 0:28:46.320
<v Speaker 1>too long or whatever, and then they get a caller

0:28:46.360 --> 0:28:49.160
<v Speaker 1>an email that they tested positive and they were like, no,

0:28:49.320 --> 0:28:52.120
<v Speaker 1>I didn't. Yeah. The l A swab testing is being

0:28:52.240 --> 0:28:57.640
<v Speaker 1>run through a nonprofit uh, created by Sean Penn. Is

0:28:57.640 --> 0:29:01.840
<v Speaker 1>that Curative Care or whatever? Yeah, So again, it just

0:29:01.880 --> 0:29:04.520
<v Speaker 1>seems like the privatized nature of all these things as

0:29:04.600 --> 0:29:08.680
<v Speaker 1>part of the problem, um that we don't just have

0:29:09.240 --> 0:29:14.680
<v Speaker 1>nationalized healthcare where everybody could get tested. That would be great,

0:29:14.720 --> 0:29:17.800
<v Speaker 1>That would be nice. Well, we're going to take a

0:29:18.080 --> 0:29:20.200
<v Speaker 1>break and when we come back, we're going to be

0:29:20.280 --> 0:29:23.200
<v Speaker 1>joined by our guest this week, Meredith Whittaker, to talk

0:29:23.280 --> 0:29:31.800
<v Speaker 1>about UH, surveillance, UH, labor rights, artificial intelligence so called UH,

0:29:31.840 --> 0:29:44.080
<v Speaker 1>and so much more. So stay tuned for that welcome

0:29:44.120 --> 0:29:47.840
<v Speaker 1>back tonight call. We are joined today by our very

0:29:47.880 --> 0:29:52.040
<v Speaker 1>special guest, Meredith Whittaker. Meredith is a research professor and

0:29:52.120 --> 0:29:55.040
<v Speaker 1>the co founder of the AI Now Institute at ny U.

0:29:55.680 --> 0:29:59.240
<v Speaker 1>Her work focuses on the social implications of artificial intelligence

0:29:59.320 --> 0:30:02.440
<v Speaker 1>and the tech end street responsible for it. Previously, she

0:30:02.480 --> 0:30:04.920
<v Speaker 1>worked at Google for thirteen years, where she founded the

0:30:04.920 --> 0:30:08.920
<v Speaker 1>company's Open Research group and helped lead labor organizing efforts,

0:30:08.960 --> 0:30:12.440
<v Speaker 1>including the Google walk out and efforts to end AI

0:30:12.560 --> 0:30:15.880
<v Speaker 1>contracts with the U S Department of Defense. Her work

0:30:15.920 --> 0:30:18.920
<v Speaker 1>is driven by the belief that worker power, collective action,

0:30:19.480 --> 0:30:23.960
<v Speaker 1>and strong social movements are necessary to ensure meaningful tech accountability.

0:30:24.160 --> 0:30:32.160
<v Speaker 1>Welcome Meredith, Thanks so much for being with us this week. Yeah,

0:30:32.200 --> 0:30:37.280
<v Speaker 1>I'm happy to be here. Um. Uh Yeah, So I

0:30:37.320 --> 0:30:41.600
<v Speaker 1>feel like we we constantly are saying among ourselves that

0:30:41.640 --> 0:30:44.360
<v Speaker 1>we wish that like we had a kind of a

0:30:44.600 --> 0:30:48.120
<v Speaker 1>an info SEC expert on call at all times. So

0:30:48.160 --> 0:30:50.479
<v Speaker 1>you are going to be our info SEC expert for

0:30:50.560 --> 0:30:56.680
<v Speaker 1>the next thirty minutes. UM, So just strap in. UM.

0:30:56.000 --> 0:30:58.640
<v Speaker 1>I think that like maybe a good way to kick

0:30:58.680 --> 0:31:02.160
<v Speaker 1>it off is just talking about kind of the specific

0:31:02.200 --> 0:31:10.000
<v Speaker 1>concern recently about UM about surveillance specifically at protests and

0:31:10.520 --> 0:31:14.880
<v Speaker 1>among activists. UM, particularly in Portland, there's been concerns that

0:31:14.960 --> 0:31:18.120
<v Speaker 1>I know you've been talking about on your Twitter about

0:31:19.400 --> 0:31:22.600
<v Speaker 1>just sort of the kind of murky waters of of

0:31:22.600 --> 0:31:26.920
<v Speaker 1>of capturing face data and other kinds of data from

0:31:26.960 --> 0:31:31.160
<v Speaker 1>these events. UM. It's it's like a weird new world

0:31:31.320 --> 0:31:35.959
<v Speaker 1>that we're all navigating, and unfortunately there's like uh proto

0:31:36.000 --> 0:31:39.560
<v Speaker 1>fascist slash fascist forces that are taking advantage of that

0:31:39.800 --> 0:31:43.520
<v Speaker 1>uh not quite figured out world. So UM, yeah, is

0:31:43.560 --> 0:31:46.240
<v Speaker 1>there anything particularly from that that that has been surprising

0:31:46.240 --> 0:31:50.320
<v Speaker 1>to you recently? Yeah, I mean let's yeah, let's let's

0:31:50.400 --> 0:31:55.480
<v Speaker 1>open up the whole cannon. Or yeah, I don't. I mean,

0:31:55.520 --> 0:31:58.880
<v Speaker 1>I think surprise isn't the word, right. I think we

0:31:59.000 --> 0:32:06.600
<v Speaker 1>know that the tools of centralized power social control surveillance exists,

0:32:06.600 --> 0:32:10.160
<v Speaker 1>and frankly have existed for some time. I think what

0:32:10.240 --> 0:32:13.560
<v Speaker 1>we're beginning to recognize is what they look like in

0:32:13.640 --> 0:32:16.760
<v Speaker 1>the hands of you know, I think proto fascist is

0:32:16.760 --> 0:32:19.840
<v Speaker 1>a bit of a diplomatic term for what we're seeing

0:32:19.880 --> 0:32:23.920
<v Speaker 1>with the you know, the the federal troops that you know,

0:32:24.600 --> 0:32:27.840
<v Speaker 1>hs as involvement, um. You know. But but you know,

0:32:27.960 --> 0:32:30.320
<v Speaker 1>I think I don't think I'm surprised. I think this

0:32:30.400 --> 0:32:33.560
<v Speaker 1>is it's it's extremely troubling, right and a lot of

0:32:33.600 --> 0:32:36.200
<v Speaker 1>what you know, my senses with a lot of people

0:32:36.200 --> 0:32:39.280
<v Speaker 1>who are sort of historicizing this moment looking back at like, well,

0:32:39.320 --> 0:32:41.520
<v Speaker 1>this is you know, this is how fascism looks when

0:32:41.600 --> 0:32:43.600
<v Speaker 1>you know, suddenly there is a you know, there are

0:32:43.760 --> 0:32:47.320
<v Speaker 1>kind of a domestic militia that is serving you know,

0:32:47.400 --> 0:32:51.479
<v Speaker 1>the the goals of the you know, authoritarian party on

0:32:51.560 --> 0:32:54.560
<v Speaker 1>the streets. Um. You know, what we haven't seen before

0:32:54.800 --> 0:33:00.600
<v Speaker 1>is fascism with the types of surveillance affordance. Is that

0:33:00.880 --> 0:33:03.760
<v Speaker 1>these folks have, right with the ability to you know,

0:33:03.840 --> 0:33:07.640
<v Speaker 1>buy location data and other intimate data from you know,

0:33:08.000 --> 0:33:11.320
<v Speaker 1>data brokers, with the ties that companies like Talents here

0:33:11.360 --> 0:33:14.360
<v Speaker 1>and others have directly to the Trump administration, with the

0:33:14.480 --> 0:33:16.400
<v Speaker 1>sort of you know, the way in which we have

0:33:16.440 --> 0:33:20.280
<v Speaker 1>now sort of structured are our social and political lives

0:33:20.280 --> 0:33:23.920
<v Speaker 1>around the necessity of having these networked infrastructures that are

0:33:23.960 --> 0:33:27.600
<v Speaker 1>necessarily collecting you know, data about us, data, you know,

0:33:27.640 --> 0:33:31.080
<v Speaker 1>making inferences about us. Um you know, whether or not

0:33:31.120 --> 0:33:33.480
<v Speaker 1>we call that surveillance, whether or not we call having

0:33:33.560 --> 0:33:35.960
<v Speaker 1>you know, a private company own all of our Gmail

0:33:36.080 --> 0:33:38.960
<v Speaker 1>going back for years and years surveillance. You know, that's

0:33:39.040 --> 0:33:42.040
<v Speaker 1>the bedrock on which all of this network technology and

0:33:42.080 --> 0:33:45.040
<v Speaker 1>the industry that has been built around it is is resting.

0:33:45.120 --> 0:33:47.160
<v Speaker 1>And we're now saying, you know what happens when the

0:33:47.640 --> 0:33:50.760
<v Speaker 1>you know, happy primary colored promises of tech you know,

0:33:50.800 --> 0:33:55.080
<v Speaker 1>actually aren't kept right. UM. So, so here we are. UM.

0:33:55.120 --> 0:33:56.880
<v Speaker 1>But you know, again this isn't that we saw this

0:33:56.960 --> 0:33:59.920
<v Speaker 1>in Ferguson, you know, standing Rock. A number of these

0:34:00.640 --> 0:34:02.760
<v Speaker 1>you know dynamics were at play. We felt with the

0:34:02.760 --> 0:34:06.120
<v Speaker 1>pandemic powers that were given to Ice by Trump that

0:34:06.160 --> 0:34:09.359
<v Speaker 1>they now sort of you know, this is permitted under

0:34:09.400 --> 0:34:12.720
<v Speaker 1>those powers for these um you know, for for federal

0:34:12.760 --> 0:34:15.200
<v Speaker 1>agents to be deployed in this way, for them to

0:34:15.280 --> 0:34:19.600
<v Speaker 1>use you know, drones and other surveillance capabilities to you know, track,

0:34:19.680 --> 0:34:25.319
<v Speaker 1>and what we're seeing is sort of you know, harass harm. Yeah,

0:34:25.360 --> 0:34:27.800
<v Speaker 1>I mean it's like ironically, as in all the ways

0:34:27.840 --> 0:34:30.120
<v Speaker 1>that the the the uprisings right now are taking place

0:34:30.120 --> 0:34:32.680
<v Speaker 1>in the same way at the same time as the pandemic.

0:34:32.760 --> 0:34:35.680
<v Speaker 1>It's like at the same time that we're the other

0:34:35.719 --> 0:34:39.279
<v Speaker 1>countries have enacted contact tracing and that sort of thing,

0:34:39.360 --> 0:34:41.839
<v Speaker 1>and that's something that we're talking about here. It's like

0:34:42.160 --> 0:34:46.239
<v Speaker 1>we also see we're we're immediately living through the downsides

0:34:46.239 --> 0:34:50.759
<v Speaker 1>of something like contact tracing um currently, as opposed to

0:34:50.800 --> 0:34:55.600
<v Speaker 1>like a hypothetical that could happen sometimes. Yeah, I mean,

0:34:55.600 --> 0:34:59.000
<v Speaker 1>contact tracing is a great example of just like how

0:35:00.560 --> 0:35:04.200
<v Speaker 1>wild tech hubris is, right because we are, you know,

0:35:04.560 --> 0:35:08.360
<v Speaker 1>the foundation we are in a failed, failing, present progressive

0:35:08.360 --> 0:35:11.239
<v Speaker 1>state right now, right Like, we don't have testing that

0:35:11.400 --> 0:35:14.080
<v Speaker 1>is clearly deployed. We certainly don't have a social stafety

0:35:14.120 --> 0:35:17.239
<v Speaker 1>net that would enable people to make a sort of

0:35:17.640 --> 0:35:20.160
<v Speaker 1>choice about their protection, right Like, oh, maybe you know

0:35:20.280 --> 0:35:22.400
<v Speaker 1>I have received a ping that I was in contact

0:35:22.480 --> 0:35:26.640
<v Speaker 1>with someone who tested positive, which presumes the presence of tests, right, Um,

0:35:26.800 --> 0:35:29.359
<v Speaker 1>and now I need to stay home for two weeks, right,

0:35:29.480 --> 0:35:32.240
<v Speaker 1>you know, most people don't even have two weeks vacation

0:35:32.280 --> 0:35:35.120
<v Speaker 1>time to take let alone you know the you know,

0:35:35.560 --> 0:35:39.040
<v Speaker 1>you know the resources to you know, make that choice

0:35:39.080 --> 0:35:42.000
<v Speaker 1>for you know, community and self care. So I think

0:35:42.040 --> 0:35:43.799
<v Speaker 1>what we're looking at, you know, the idea that you

0:35:43.800 --> 0:35:46.200
<v Speaker 1>could just slap contact tracing on that when you don't

0:35:46.239 --> 0:35:49.520
<v Speaker 1>have ground truth data around testing, when people aren't in

0:35:49.560 --> 0:35:53.279
<v Speaker 1>a position to you know, make a choice for public health,

0:35:53.280 --> 0:35:56.160
<v Speaker 1>when we don't have those politics of care right you

0:35:56.160 --> 0:35:59.120
<v Speaker 1>know anywhere in our infrastructures. Is you know, that's the

0:35:59.239 --> 0:36:02.359
<v Speaker 1>kind of like we'll solve it with tech while ignoring

0:36:02.480 --> 0:36:05.160
<v Speaker 1>those sort of bedrock conditions that would be you know

0:36:05.320 --> 0:36:08.560
<v Speaker 1>necessitate you know that that are necessary for tech too,

0:36:09.160 --> 0:36:11.080
<v Speaker 1>you know, for us even have a conversation of whether

0:36:11.200 --> 0:36:14.239
<v Speaker 1>sort of tech based contract trasing contact tracing could work,

0:36:14.239 --> 0:36:17.000
<v Speaker 1>and there's a bunch of problems with tech based contract tracing,

0:36:17.080 --> 0:36:20.399
<v Speaker 1>especially Bluetooth BASTE. It like doesn't know when it's going

0:36:20.440 --> 0:36:22.480
<v Speaker 1>through walls so you can get a contact trace that's

0:36:22.520 --> 0:36:24.920
<v Speaker 1>like if you're next to somebody in a car, it

0:36:25.040 --> 0:36:26.920
<v Speaker 1>will consider you next to them, right. Like, there's all

0:36:26.960 --> 0:36:30.120
<v Speaker 1>sorts of like you know, real world lizations to the

0:36:30.200 --> 0:36:32.880
<v Speaker 1>hype that is being sort of you know floated around

0:36:32.880 --> 0:36:37.040
<v Speaker 1>these these approaches, and you know, and again you need

0:36:37.280 --> 0:36:39.680
<v Speaker 1>you need test data to be using test data to

0:36:39.719 --> 0:36:42.080
<v Speaker 1>do contact tracing, and you need you know, frankly, contact

0:36:42.080 --> 0:36:45.240
<v Speaker 1>tracing is best done by like an army of human

0:36:45.280 --> 0:36:48.319
<v Speaker 1>beings who are doing the hard work of of you

0:36:48.360 --> 0:36:51.600
<v Speaker 1>know what you know, public you know, doing the work

0:36:51.640 --> 0:36:56.000
<v Speaker 1>of public health experts. Yeah, yeah, Meredith. One thing I

0:36:56.080 --> 0:36:59.320
<v Speaker 1>really love about your work you use the word tech

0:36:59.400 --> 0:37:03.240
<v Speaker 1>hue breast Um. I think you're really good at calling

0:37:03.239 --> 0:37:08.120
<v Speaker 1>out tech hubris, and especially at sort of talking about

0:37:08.239 --> 0:37:11.760
<v Speaker 1>promises that tech companies make that they can't actually deliver

0:37:11.880 --> 0:37:16.280
<v Speaker 1>on and tech that doesn't exist that's being sold. Um.

0:37:16.360 --> 0:37:19.319
<v Speaker 1>You had a good tweet the other day about uh

0:37:19.400 --> 0:37:22.200
<v Speaker 1>software that was being sold I think to the Pentagon

0:37:22.520 --> 0:37:27.399
<v Speaker 1>that was supposed to recognize human emotions. And you said,

0:37:27.520 --> 0:37:29.879
<v Speaker 1>let me save you a billion dollars and tell you

0:37:29.960 --> 0:37:35.400
<v Speaker 1>that this doesn't work. Surprised. Oh, it's so, y'all, it

0:37:35.520 --> 0:37:39.600
<v Speaker 1>is so it. I mean, there's that we've we've had

0:37:39.680 --> 0:37:42.440
<v Speaker 1>twenty years, I think, and and more. I'm not you know,

0:37:42.560 --> 0:37:44.400
<v Speaker 1>I'm not a trained historian in this, but I've like

0:37:44.480 --> 0:37:46.879
<v Speaker 1>came up in fact, right like we have just sort

0:37:46.880 --> 0:37:52.040
<v Speaker 1>of trusted this narrative that you know, tech company revenue

0:37:52.400 --> 0:37:57.360
<v Speaker 1>gains are you know, are synonymous with progress, right, with

0:37:57.400 --> 0:38:00.600
<v Speaker 1>scientific progress, with social progress, with sort of you know,

0:38:00.640 --> 0:38:02.720
<v Speaker 1>the betterment of the world. And I think we all

0:38:02.800 --> 0:38:06.000
<v Speaker 1>know that's more or less bullshit, but I think it

0:38:06.080 --> 0:38:09.160
<v Speaker 1>has combined with this kind of you know, the way

0:38:09.160 --> 0:38:12.439
<v Speaker 1>in which tech supremacy has become part of our are

0:38:12.520 --> 0:38:16.440
<v Speaker 1>just general narrative, right, and people are afraid to question

0:38:16.520 --> 0:38:18.960
<v Speaker 1>these technologies, right you see, you know, there's there's this

0:38:19.040 --> 0:38:23.600
<v Speaker 1>constant kind of derisive commentary on Twitter, like if only

0:38:23.719 --> 0:38:26.719
<v Speaker 1>senators were smart enough to question Zuckerberg, right, But like,

0:38:26.920 --> 0:38:29.759
<v Speaker 1>we are in a context where, for some reason, we

0:38:29.840 --> 0:38:32.320
<v Speaker 1>made it okay for people with a sort of elite

0:38:32.600 --> 0:38:36.440
<v Speaker 1>technical education that had access and expertise a certain information

0:38:36.520 --> 0:38:41.000
<v Speaker 1>most people don't to sort of, you know, assume that

0:38:41.040 --> 0:38:45.400
<v Speaker 1>the right to make significant policy decisions, significant social decisions,

0:38:45.480 --> 0:38:48.240
<v Speaker 1>significant decisions on behalf of you know, millions and billions

0:38:48.239 --> 0:38:52.640
<v Speaker 1>of others, you know, rested with the you know, with

0:38:52.840 --> 0:38:56.120
<v Speaker 1>only um that that only people with this training sort

0:38:56.120 --> 0:38:58.120
<v Speaker 1>of had that right and that no one who you know,

0:38:58.160 --> 0:39:01.040
<v Speaker 1>if you didn't have a CS degree from Stanford, you

0:39:01.080 --> 0:39:03.359
<v Speaker 1>can't actually be talking about these things. So I think,

0:39:03.640 --> 0:39:07.120
<v Speaker 1>you know, under that sort of smoke screen. You know,

0:39:07.320 --> 0:39:09.200
<v Speaker 1>so much of this stuff is a scam, right, that

0:39:09.239 --> 0:39:12.880
<v Speaker 1>emotion recognition stuff like that is being piped into every

0:39:12.920 --> 0:39:16.279
<v Speaker 1>market you could imagine, Right, there's job interview software that

0:39:16.400 --> 0:39:19.560
<v Speaker 1>based on your tone of voice, based on your micro expressions,

0:39:20.280 --> 0:39:23.759
<v Speaker 1>based on you know, how you you sound, what your

0:39:23.760 --> 0:39:26.080
<v Speaker 1>mannerisms are, will determine if you're going to be a

0:39:26.080 --> 0:39:28.520
<v Speaker 1>good worker or not. Right, Like, we're looking at something

0:39:28.560 --> 0:39:32.240
<v Speaker 1>there's no scientific consensus around this that you can automate

0:39:32.239 --> 0:39:34.400
<v Speaker 1>that type of detection, and you're looking at sort of

0:39:34.400 --> 0:39:37.560
<v Speaker 1>the resurgence of principles of physiognomy and race science and

0:39:37.600 --> 0:39:40.959
<v Speaker 1>this idea that someone's worth can be determined by their

0:39:41.200 --> 0:39:44.920
<v Speaker 1>sort of you know, external physical characteristics, which you know

0:39:46.960 --> 0:39:50.080
<v Speaker 1>hasn't there been mentioned of that, Like then using that

0:39:50.120 --> 0:39:53.280
<v Speaker 1>sort of thing for policing too, or am I misremembering

0:39:53.480 --> 0:39:56.000
<v Speaker 1>because I feel like it's it's you know, one of

0:39:56.000 --> 0:39:57.960
<v Speaker 1>the issues where you know, people are like give us

0:39:58.200 --> 0:40:00.480
<v Speaker 1>specific evidence of this. And one of the issues is

0:40:00.480 --> 0:40:02.440
<v Speaker 1>that a lot of the technologies that are being used

0:40:02.480 --> 0:40:05.480
<v Speaker 1>are produced by private firms and then they're procured by

0:40:05.520 --> 0:40:09.160
<v Speaker 1>governments or private businesses, and that whole process is either

0:40:09.400 --> 0:40:12.360
<v Speaker 1>you know, if it's if we're talking about like policing agencies,

0:40:12.360 --> 0:40:15.400
<v Speaker 1>often times it's classified or hidden based on national security.

0:40:15.560 --> 0:40:18.400
<v Speaker 1>If we're talking about private firms, it's hidden behind trade secrecy.

0:40:18.719 --> 0:40:20.879
<v Speaker 1>So we know some examples, but I think it's it's

0:40:20.880 --> 0:40:24.279
<v Speaker 1>also important to recognize, like it is that the obscurity

0:40:24.360 --> 0:40:27.359
<v Speaker 1>is structural. Right, it's intentional, and there's a lot we

0:40:27.400 --> 0:40:29.880
<v Speaker 1>don't know, but we do know that. You know, police

0:40:29.920 --> 0:40:33.600
<v Speaker 1>departments are being sold facial recognition systems that claim to

0:40:33.640 --> 0:40:36.480
<v Speaker 1>sort of detect aggression in people's faces, and obviously when

0:40:36.560 --> 0:40:39.920
<v Speaker 1>researchers have looked at these, they are like extraordinarily racist, right,

0:40:40.040 --> 0:40:42.920
<v Speaker 1>or looked at similar systems, right, because getting access to

0:40:42.960 --> 0:40:44.560
<v Speaker 1>some of these is also hard because of what I

0:40:44.600 --> 0:40:47.560
<v Speaker 1>just mentioned. But yeah, policing is using it. The military

0:40:47.640 --> 0:40:50.400
<v Speaker 1>is like the military just a big old magic that

0:40:50.440 --> 0:40:54.240
<v Speaker 1>the military is certainly using it. Uh, schools are using it. Uh,

0:40:54.920 --> 0:40:57.960
<v Speaker 1>how it's wait, in what contexts are schools using it?

0:40:58.239 --> 0:41:01.560
<v Speaker 1>Are our students attempted? Of right? Are they paying attention?

0:41:01.640 --> 0:41:05.760
<v Speaker 1>It is a bed racket that is funneling um money

0:41:05.880 --> 0:41:08.759
<v Speaker 1>for help for a sort of security that was kind

0:41:08.760 --> 0:41:11.799
<v Speaker 1>of pumped into school districts following, you know, because of

0:41:11.840 --> 0:41:16.040
<v Speaker 1>the school shooting problem, and that money is now being

0:41:16.120 --> 0:41:18.680
<v Speaker 1>used to buy sort of security cameras to you know

0:41:18.800 --> 0:41:22.600
<v Speaker 1>that that are yeah, and and at police to schools, um,

0:41:22.600 --> 0:41:26.240
<v Speaker 1>but a lot of those, you know, like detect suspicious activity. Again,

0:41:26.320 --> 0:41:28.360
<v Speaker 1>this is sort of the inference that what your body

0:41:28.400 --> 0:41:30.960
<v Speaker 1>looks like and what it does can somehow translate into

0:41:31.000 --> 0:41:35.560
<v Speaker 1>a magical assessment of uh, you know, of criminality. That

0:41:35.760 --> 0:41:39.759
<v Speaker 1>is so terrifying. I wanted to ask you also, just

0:41:39.800 --> 0:41:44.000
<v Speaker 1>like what especially when you think about how that could

0:41:44.000 --> 0:41:45.759
<v Speaker 1>also be applied now that students are going to be

0:41:45.800 --> 0:41:48.279
<v Speaker 1>doing remote learning and they're all going to be on

0:41:48.520 --> 0:41:51.399
<v Speaker 1>zoom and I mean, it's the idea that that could

0:41:51.480 --> 0:41:54.600
<v Speaker 1>kind of evolve in an even more sinister ways it is.

0:41:55.160 --> 0:41:58.759
<v Speaker 1>There's online proctoring software that now sort of you know,

0:41:58.840 --> 0:42:03.200
<v Speaker 1>claims to detective insiveness, but we're talking about yeah, yeah.

0:42:03.680 --> 0:42:05.800
<v Speaker 1>I also wanted to ask if there was a point,

0:42:06.320 --> 0:42:08.759
<v Speaker 1>if you, so you've been in the tech world for

0:42:08.800 --> 0:42:11.279
<v Speaker 1>a long time, what was there a kind of evolution

0:42:11.360 --> 0:42:13.839
<v Speaker 1>for you At a point did you become kind of

0:42:13.880 --> 0:42:16.560
<v Speaker 1>like more concerned and more aware of these issues and

0:42:16.920 --> 0:42:20.040
<v Speaker 1>when you entered the tech world, like how aware were

0:42:20.200 --> 0:42:22.680
<v Speaker 1>you of the kind of like ways that this could

0:42:22.719 --> 0:42:27.040
<v Speaker 1>be manipulated in racist or really you know, to like

0:42:27.080 --> 0:42:32.919
<v Speaker 1>eliminate you know, the personal privacy of users? Like when

0:42:32.960 --> 0:42:35.600
<v Speaker 1>did did you kind of become aware of that in

0:42:35.640 --> 0:42:39.680
<v Speaker 1>this sense? Mm hmm, I mean I don't have like

0:42:39.719 --> 0:42:43.920
<v Speaker 1>a there wasn't one crisp revelation. But I you know,

0:42:43.960 --> 0:42:46.960
<v Speaker 1>I started at Google in two thousand six, right out

0:42:46.960 --> 0:42:49.880
<v Speaker 1>of undergrad and I took the job at Google because

0:42:49.920 --> 0:42:52.000
<v Speaker 1>they offered it to me and I was broke, right,

0:42:52.040 --> 0:42:54.239
<v Speaker 1>so like for me, it was very it was very simple, right,

0:42:54.239 --> 0:42:55.960
<v Speaker 1>like rich kids went to grad school and that I

0:42:56.080 --> 0:42:58.480
<v Speaker 1>was not one of them, and I needed a job

0:42:58.520 --> 0:42:59.920
<v Speaker 1>because there was a certain amount of money at my

0:43:00.000 --> 0:43:02.719
<v Speaker 1>bank account and it needed to be more money if

0:43:02.760 --> 0:43:07.200
<v Speaker 1>I so like, um, you know, I I also, I mean,

0:43:07.200 --> 0:43:09.320
<v Speaker 1>I don't know, I come from a class of where

0:43:09.320 --> 0:43:10.920
<v Speaker 1>like the point of a job was to do the

0:43:11.000 --> 0:43:12.919
<v Speaker 1>least amount of work and get the most amount of money.

0:43:12.960 --> 0:43:16.000
<v Speaker 1>And there wasn't this sort of identity like your job

0:43:16.120 --> 0:43:19.000
<v Speaker 1>was not who you were or your passion necessarily, so

0:43:19.040 --> 0:43:21.600
<v Speaker 1>I kind of entered it like that, right and then

0:43:21.880 --> 0:43:24.279
<v Speaker 1>and then I was just you know, and I did

0:43:24.320 --> 0:43:26.560
<v Speaker 1>come from I kind of it's been involved in sort

0:43:26.600 --> 0:43:30.719
<v Speaker 1>of radical politics, radical spaces as a teen, and that

0:43:30.800 --> 0:43:32.160
<v Speaker 1>was sort of where I was at home. And so

0:43:32.239 --> 0:43:34.680
<v Speaker 1>there was a whole wild time of being kind of

0:43:34.800 --> 0:43:36.799
<v Speaker 1>entering Google and being like what is this? Right? Like,

0:43:36.840 --> 0:43:39.600
<v Speaker 1>I don't have technical training. I had to figure out

0:43:39.640 --> 0:43:43.040
<v Speaker 1>a lot of these things by like asking people, um,

0:43:43.120 --> 0:43:44.840
<v Speaker 1>and I think part of that process was like a

0:43:44.920 --> 0:43:49.480
<v Speaker 1>demystification journey for me. So what that you just call

0:43:49.560 --> 0:43:51.680
<v Speaker 1>it that, but that's actually not like that's just a

0:43:51.680 --> 0:43:55.560
<v Speaker 1>confusing word. Okay, I'm like and recognizing that it wasn't magic,

0:43:55.640 --> 0:43:57.800
<v Speaker 1>that a lot of the ground truth was really shaky,

0:43:57.880 --> 0:43:59.480
<v Speaker 1>that a lot of this sort of you know, a

0:43:59.520 --> 0:44:01.600
<v Speaker 1>lot of this was sort of heights. But that took

0:44:01.640 --> 0:44:06.520
<v Speaker 1>me a while, I think, you know, just being like

0:44:06.560 --> 0:44:09.920
<v Speaker 1>asking these questions and sort of being in the like

0:44:10.200 --> 0:44:12.960
<v Speaker 1>arriving at this time where it was just there was

0:44:13.040 --> 0:44:15.600
<v Speaker 1>little pockets of kind of academic tech critique, but there

0:44:15.680 --> 0:44:19.600
<v Speaker 1>was not the sort of wholesale kind of skepticism that

0:44:19.640 --> 0:44:21.719
<v Speaker 1>I think is you know now part of a you know,

0:44:21.760 --> 0:44:24.319
<v Speaker 1>a healthy conversation about tech, right, And so just saying

0:44:24.360 --> 0:44:27.240
<v Speaker 1>like why do these guys you know, think they're ethical billionaires?

0:44:27.320 --> 0:44:30.040
<v Speaker 1>Like what is ad tech? Right? Like what does it

0:44:30.080 --> 0:44:31.759
<v Speaker 1>mean to sort of have this data? What are the

0:44:31.800 --> 0:44:34.560
<v Speaker 1>excuses they use? Um? So that was I mean that

0:44:34.640 --> 0:44:36.680
<v Speaker 1>was thirteen years. So like over that time, I was

0:44:36.760 --> 0:44:39.799
<v Speaker 1>like interested in social issues, right, Like that was where

0:44:39.840 --> 0:44:42.400
<v Speaker 1>my work gravitated. I worked on privacy, I was on

0:44:42.480 --> 0:44:45.440
<v Speaker 1>that neutrality, I worked on a lot of these other things,

0:44:45.440 --> 0:44:47.640
<v Speaker 1>and I got interested in AI because AI is sort

0:44:47.680 --> 0:44:50.399
<v Speaker 1>of like, I don't know, I have a whole feel

0:44:50.400 --> 0:44:52.680
<v Speaker 1>all save for some other time around it kind of

0:44:53.160 --> 0:44:56.120
<v Speaker 1>it's kind of a scam. It's like this big term

0:44:56.400 --> 0:45:00.279
<v Speaker 1>under which like data based technologies, right, technology is that

0:45:00.360 --> 0:45:04.160
<v Speaker 1>make inferences about data? Are you know, kind of marketed

0:45:04.280 --> 0:45:06.040
<v Speaker 1>right now? And there's a number of reasons that sort

0:45:06.040 --> 0:45:09.640
<v Speaker 1>of emerged in the last ten years around sort of

0:45:09.800 --> 0:45:13.799
<v Speaker 1>you know se tech company sort of consolidation of power,

0:45:13.880 --> 0:45:17.680
<v Speaker 1>the consolidation of data, the consolidation of powerful infrastructures, whatever.

0:45:17.719 --> 0:45:21.960
<v Speaker 1>But you know, the mythology around artificial intelligence that it

0:45:22.000 --> 0:45:24.439
<v Speaker 1>was sort of infallible, that was actually you know, more

0:45:24.520 --> 0:45:27.480
<v Speaker 1>capable than humans, that it was you know, it was

0:45:28.200 --> 0:45:30.120
<v Speaker 1>you know, going to solve any number of you know,

0:45:30.360 --> 0:45:32.880
<v Speaker 1>so dual purpose. It could solve any number of problems

0:45:32.880 --> 0:45:36.080
<v Speaker 1>from healthcare to schools to you know, policing. Um I

0:45:36.120 --> 0:45:38.480
<v Speaker 1>think was you know, I was really concerned about that

0:45:38.480 --> 0:45:41.920
<v Speaker 1>because I was like dealing with issues of like how

0:45:42.160 --> 0:45:45.560
<v Speaker 1>clunky and fallible data was, right, Like how you know,

0:45:45.640 --> 0:45:48.000
<v Speaker 1>even when there was a lot of intention behind trying

0:45:48.000 --> 0:45:51.080
<v Speaker 1>to like get data right, it was always like clergy.

0:45:51.120 --> 0:45:54.200
<v Speaker 1>It was always just an artifact of like institutional processes

0:45:54.200 --> 0:45:57.319
<v Speaker 1>and compromises and perspectives. Right. It wasn't there was no

0:45:57.600 --> 0:45:59.960
<v Speaker 1>you know and run to get sort of that cart

0:46:00.000 --> 0:46:03.080
<v Speaker 1>hesion window of objectivity, right. But people were building these

0:46:03.120 --> 0:46:06.400
<v Speaker 1>systems on you know, crappy data with crappy assumptions and

0:46:06.480 --> 0:46:08.920
<v Speaker 1>selling them a sort of magic into some of the

0:46:08.960 --> 0:46:11.799
<v Speaker 1>most sensitive social domains you could imagine. And it was

0:46:12.000 --> 0:46:14.880
<v Speaker 1>you know, it was consolidating power. It was threading these

0:46:15.360 --> 0:46:17.319
<v Speaker 1>you know, it's like a hand five companies have the

0:46:17.600 --> 0:46:20.120
<v Speaker 1>resources to make this kind of technology at scale right now,

0:46:20.280 --> 0:46:22.319
<v Speaker 1>So it's sort of threading all of our social and

0:46:22.360 --> 0:46:26.080
<v Speaker 1>economic infrastructures through these five companies whose core function as

0:46:26.120 --> 0:46:31.600
<v Speaker 1>always forever and nothing else but to grow revenues increasingly

0:46:32.320 --> 0:46:36.400
<v Speaker 1>infinitely over time, right, Like I think I think that

0:46:36.480 --> 0:46:40.600
<v Speaker 1>when people think about artificial intelligence and machine learning and

0:46:40.600 --> 0:46:43.600
<v Speaker 1>and you know, the kind of using machines, are using

0:46:43.920 --> 0:46:47.200
<v Speaker 1>uh any kind of tech to replace a workforce. You know,

0:46:47.280 --> 0:46:50.000
<v Speaker 1>we think about like a labor workforce or industrial jobs

0:46:50.000 --> 0:46:52.279
<v Speaker 1>and that kind of thing. But I think that kind

0:46:52.320 --> 0:46:56.359
<v Speaker 1>of we're seeing more and more the core philosophy of

0:46:56.360 --> 0:46:59.760
<v Speaker 1>that and the actual failings of it, of the failings

0:46:59.840 --> 0:47:03.760
<v Speaker 1>of the um of taking for granted that it's better

0:47:03.840 --> 0:47:06.719
<v Speaker 1>to not have a human do a job, or that

0:47:06.800 --> 0:47:09.720
<v Speaker 1>it's somehow more advantageous, because when you're talking about stuff

0:47:09.760 --> 0:47:12.600
<v Speaker 1>like teaching, policing, all these things that we've have been

0:47:12.600 --> 0:47:16.000
<v Speaker 1>talking about, like those are those are cases where they

0:47:16.000 --> 0:47:18.399
<v Speaker 1>are like, it's good to have a human there, it's

0:47:18.400 --> 0:47:21.560
<v Speaker 1>good to build human skills like those sort of intangible

0:47:21.600 --> 0:47:25.680
<v Speaker 1>skills are are priceless. And that's just not a part

0:47:25.880 --> 0:47:29.799
<v Speaker 1>of the tech philosophy, like the big tech philosophy right now.

0:47:30.440 --> 0:47:35.160
<v Speaker 1>Um so that I've seen. Yeah, it also feels to

0:47:35.239 --> 0:47:37.520
<v Speaker 1>me like the people who are in charge of tech

0:47:37.600 --> 0:47:40.200
<v Speaker 1>are part of the reason that this is all being

0:47:40.239 --> 0:47:44.359
<v Speaker 1>handled so badly, because you know, in my experience, all

0:47:44.400 --> 0:47:46.239
<v Speaker 1>the people who have been like the Canary and the

0:47:46.239 --> 0:47:50.560
<v Speaker 1>coal mine, have been people like you and other like

0:47:51.400 --> 0:47:55.560
<v Speaker 1>women and especially women of color working at tech companies

0:47:55.640 --> 0:48:00.759
<v Speaker 1>who noticed that, like the algorithm is racist and that

0:48:00.920 --> 0:48:04.800
<v Speaker 1>we shouldn't be selling it as like the subjective thing um.

0:48:04.840 --> 0:48:08.000
<v Speaker 1>But there's a lot of money obviously behind people sort

0:48:08.040 --> 0:48:12.279
<v Speaker 1>of being like, nope, it's perfect algorithms. You know, the

0:48:12.920 --> 0:48:17.160
<v Speaker 1>math is infallible and this is math. Yeah, they love it, right,

0:48:17.440 --> 0:48:21.120
<v Speaker 1>And I think, I mean, I think one thing around

0:48:21.160 --> 0:48:23.360
<v Speaker 1>that as well, as you're having this sort of confluence

0:48:23.400 --> 0:48:26.560
<v Speaker 1>of like that type of tech huberis and these sort

0:48:26.560 --> 0:48:29.640
<v Speaker 1>of you know, these kind of hollow marketing claims on

0:48:29.880 --> 0:48:32.040
<v Speaker 1>the tech company side, and then you're having you know,

0:48:32.480 --> 0:48:35.560
<v Speaker 1>decades of neoliberal austerity on the other side, where the

0:48:35.640 --> 0:48:39.600
<v Speaker 1>offer of replacing a hundred humans with a machine that

0:48:39.640 --> 0:48:43.480
<v Speaker 1>you only have the license for so much is really tempting, right, Like,

0:48:43.560 --> 0:48:45.359
<v Speaker 1>and I think there's a sort of you know, there's

0:48:45.360 --> 0:48:48.399
<v Speaker 1>a feedback loop there that's extremely dangerous. Like you had

0:48:48.440 --> 0:48:52.000
<v Speaker 1>in Michigan, there was a they installed an algorithmic system

0:48:52.080 --> 0:48:56.279
<v Speaker 1>that was replacing unemployment adjudication, so it would they used

0:48:56.280 --> 0:48:58.000
<v Speaker 1>to have a staff of people saying like, oh, this

0:48:58.200 --> 0:49:02.160
<v Speaker 1>you know, unemployment benefits claim. Uh, looks like frauds, right,

0:49:02.200 --> 0:49:04.840
<v Speaker 1>and we're gonna chase that down. They instead passed the

0:49:04.920 --> 0:49:08.600
<v Speaker 1>machine to do that fired all those people. Forty thousand

0:49:08.719 --> 0:49:12.279
<v Speaker 1>people were wrongly accused, right, and then that creates a

0:49:12.320 --> 0:49:14.839
<v Speaker 1>record that means you can't get benefits, you can't get

0:49:14.840 --> 0:49:17.840
<v Speaker 1>another job, right, like they were bankruptcies. There were suicides

0:49:17.880 --> 0:49:21.560
<v Speaker 1>like people, And that's like one example of this type

0:49:21.719 --> 0:49:24.239
<v Speaker 1>you know, the way this type of logic is operationalized,

0:49:24.239 --> 0:49:26.200
<v Speaker 1>like in Michigan, we need to also name like Rick

0:49:26.239 --> 0:49:28.600
<v Speaker 1>Snyder and you know, the person who presided up a

0:49:28.640 --> 0:49:30.560
<v Speaker 1>flint like that was the logics that are sort of

0:49:30.640 --> 0:49:32.759
<v Speaker 1>driving this. And then of course there's a company on

0:49:32.800 --> 0:49:35.560
<v Speaker 1>the other end, like welling To willing to sell some

0:49:35.680 --> 0:49:39.880
<v Speaker 1>like you know, Jankie bullshit that hasn't been audited because

0:49:39.880 --> 0:49:42.319
<v Speaker 1>no one involved in that sale and that propurement and

0:49:42.360 --> 0:49:44.319
<v Speaker 1>those marketings are going to be the people who are

0:49:44.360 --> 0:49:46.480
<v Speaker 1>like harm by it, right, and the people are subject

0:49:46.560 --> 0:49:48.879
<v Speaker 1>to it, you know, have no freaking idea that there's

0:49:48.920 --> 0:49:51.000
<v Speaker 1>an algorithm on the other end because they were never

0:49:51.080 --> 0:49:54.000
<v Speaker 1>part of that process. There was no democratic decision making.

0:49:54.080 --> 0:49:58.000
<v Speaker 1>So well, that's also you had testified before Congress Um

0:49:58.040 --> 0:49:59.960
<v Speaker 1>at some point to talk about the need for over

0:50:00.120 --> 0:50:03.720
<v Speaker 1>site and transparency and AI I think that that ties

0:50:03.760 --> 0:50:06.960
<v Speaker 1>into this because there's we we just are never like

0:50:07.200 --> 0:50:10.239
<v Speaker 1>a victim of that kind of thing, is never necessarily

0:50:10.280 --> 0:50:12.880
<v Speaker 1>aware of the fact that this decision is being made

0:50:13.320 --> 0:50:16.480
<v Speaker 1>by a boat basically um. And so it becomes I

0:50:16.520 --> 0:50:19.719
<v Speaker 1>think harder to figure out how to address those things

0:50:19.760 --> 0:50:22.680
<v Speaker 1>if they're if they happen wrongfully, because there's no kind

0:50:22.680 --> 0:50:25.520
<v Speaker 1>of chain to follow up. But I wanted to talk about,

0:50:26.040 --> 0:50:28.799
<v Speaker 1>you know, when when you kind of bring attention to

0:50:28.840 --> 0:50:32.279
<v Speaker 1>these things and in your activism, you know, what kind

0:50:32.320 --> 0:50:35.560
<v Speaker 1>of challenges are faced by people who come forward about

0:50:35.600 --> 0:50:38.600
<v Speaker 1>these Like I know that you know, after the Google

0:50:38.600 --> 0:50:41.759
<v Speaker 1>walkouts and everything that that was pretty contentious, and you know,

0:50:41.800 --> 0:50:44.399
<v Speaker 1>I feel like generally it seems as though people who

0:50:44.440 --> 0:50:47.560
<v Speaker 1>bring attention to these issues in big tech are really

0:50:47.760 --> 0:50:50.279
<v Speaker 1>kind of facing an uphill battle. So, I mean, how

0:50:50.320 --> 0:50:52.719
<v Speaker 1>do we kind of advocate for people who are whistleblowing

0:50:52.800 --> 0:50:56.960
<v Speaker 1>or who are advocating for changes to be made? Yeah,

0:50:57.000 --> 0:51:00.040
<v Speaker 1>I mean I think like it's no surprise, right of

0:51:00.600 --> 0:51:02.640
<v Speaker 1>you know, they were fine with me when it was

0:51:02.680 --> 0:51:05.600
<v Speaker 1>just me as a critic saying things right, and even

0:51:05.640 --> 0:51:07.480
<v Speaker 1>if I called them out, even if I drag them like,

0:51:07.719 --> 0:51:09.399
<v Speaker 1>you know, I might get some of me like come

0:51:09.440 --> 0:51:12.799
<v Speaker 1>on there, but like they actually like that served a purpose, right.

0:51:12.880 --> 0:51:14.680
<v Speaker 1>It made it look like Google was a place that

0:51:14.719 --> 0:51:18.080
<v Speaker 1>accepted all voices and you know, a robust debate even

0:51:18.120 --> 0:51:20.600
<v Speaker 1>if I had no power to actually make a decision

0:51:20.680 --> 0:51:24.360
<v Speaker 1>based on my research and my insights. Um. It was

0:51:24.400 --> 0:51:27.440
<v Speaker 1>when I started organizing, so you know with my colleagues,

0:51:27.440 --> 0:51:31.279
<v Speaker 1>when you actually start building power, which requires solidarity in

0:51:31.600 --> 0:51:35.160
<v Speaker 1>power asymmetric situations. Um. That they were upset, right, and

0:51:35.160 --> 0:51:37.480
<v Speaker 1>it was classic. It was there was no you know,

0:51:37.640 --> 0:51:40.040
<v Speaker 1>there was no tech wizard reinvolved, right, like they got

0:51:40.040 --> 0:51:42.279
<v Speaker 1>some old quirky union bus name firm and to be

0:51:42.360 --> 0:51:45.839
<v Speaker 1>like you hurt the people leading the people might organize, right,

0:51:45.880 --> 0:51:48.439
<v Speaker 1>Like it's you know, it's pretty simple. And I think,

0:51:48.960 --> 0:51:52.279
<v Speaker 1>you know, recognizing that fundamentally this is about power. Fundamentally,

0:51:52.360 --> 0:51:56.040
<v Speaker 1>there's nothing particularly smart or different about tech, although the

0:51:56.120 --> 0:51:59.880
<v Speaker 1>way it's you know, it masks and centralizes power some

0:52:00.000 --> 0:52:02.279
<v Speaker 1>and we need to recognize when we're sort of in

0:52:02.320 --> 0:52:05.680
<v Speaker 1>these struggles and doing this research, um, but that you know,

0:52:05.719 --> 0:52:08.000
<v Speaker 1>it's going to require solidarity. It's going to require sort

0:52:08.040 --> 0:52:10.279
<v Speaker 1>of new forms of solidarity in my view, that are

0:52:10.360 --> 0:52:13.280
<v Speaker 1>kind of across you know, what people have called supply

0:52:13.440 --> 0:52:16.040
<v Speaker 1>chains or you know, seemingly disparate sites. So if we're

0:52:16.080 --> 0:52:18.480
<v Speaker 1>just looking at workers that receive a full time employment

0:52:18.560 --> 0:52:21.239
<v Speaker 1>check from Google, we are not looking at a coalition

0:52:21.280 --> 0:52:23.919
<v Speaker 1>that has the power across all of the domains where

0:52:23.920 --> 0:52:26.920
<v Speaker 1>Google is threaded to actually check them. Right, So we

0:52:26.920 --> 0:52:28.480
<v Speaker 1>need to be thinking about, you know, what does it

0:52:28.520 --> 0:52:29.840
<v Speaker 1>mean to be a worker, What does it mean to

0:52:29.840 --> 0:52:31.799
<v Speaker 1>be in solidarity as a worker, and what does it

0:52:31.840 --> 0:52:34.280
<v Speaker 1>mean to be in solidarity with the communities, like you said,

0:52:34.320 --> 0:52:38.360
<v Speaker 1>who are subject to these technologies that we as workers

0:52:38.360 --> 0:52:41.560
<v Speaker 1>may not be subject too because of certain privileges. Right, So, like,

0:52:41.600 --> 0:52:44.279
<v Speaker 1>how do you you know, how do you allow those

0:52:44.320 --> 0:52:47.200
<v Speaker 1>movements to actually lead? If you're talking about sort of

0:52:47.200 --> 0:52:49.759
<v Speaker 1>worker solidarity actions and I think you know, there are

0:52:49.800 --> 0:52:52.720
<v Speaker 1>a million ways to support it's just you know, support

0:52:52.840 --> 0:52:58.400
<v Speaker 1>like big where you stand. Yeah, I'm so curious because

0:52:58.440 --> 0:53:00.560
<v Speaker 1>you you said you you started a Google in two

0:53:00.600 --> 0:53:04.560
<v Speaker 1>thousand six, right, and you've been working in tech since then,

0:53:04.880 --> 0:53:08.840
<v Speaker 1>And I feel like that kind of that time period,

0:53:09.560 --> 0:53:14.120
<v Speaker 1>especially with you leading the walkouts. It's like the the

0:53:14.120 --> 0:53:17.920
<v Speaker 1>the attitude and the and the trust that the average

0:53:17.920 --> 0:53:20.279
<v Speaker 1>person has in tech companies and their understanding of what

0:53:20.320 --> 0:53:22.560
<v Speaker 1>they are and and the fact that they are about

0:53:22.560 --> 0:53:26.120
<v Speaker 1>power and in many cases of fruscating it by like

0:53:26.840 --> 0:53:29.480
<v Speaker 1>giving you free email or whatever the case may be.

0:53:29.520 --> 0:53:31.640
<v Speaker 1>It's like now you're in control when really, like you,

0:53:32.440 --> 0:53:37.439
<v Speaker 1>like at Google, by having the slogan be don't be evil. Sure, yeah, yeah,

0:53:37.600 --> 0:53:41.240
<v Speaker 1>like all of that, like kind of having the scales

0:53:41.440 --> 0:53:44.360
<v Speaker 1>fall from our eyes over the past decade or something.

0:53:44.680 --> 0:53:46.480
<v Speaker 1>I mean, what's been your experience of that from the

0:53:46.520 --> 0:53:48.960
<v Speaker 1>inside and especially among the people who work there, because like,

0:53:49.040 --> 0:53:51.480
<v Speaker 1>that's that's been the crux of it, right, is that

0:53:51.560 --> 0:53:54.080
<v Speaker 1>people are like, oh, wait, this is not like I

0:53:54.120 --> 0:53:57.360
<v Speaker 1>don't know if I signed up for this, Like I

0:53:57.360 --> 0:53:59.839
<v Speaker 1>don't know, I don't. I mean, I think I had

0:53:59.840 --> 0:54:01.960
<v Speaker 1>a little bit of a head start just because I

0:54:02.000 --> 0:54:05.160
<v Speaker 1>was sort of I was, you know, I don't think

0:54:05.200 --> 0:54:06.960
<v Speaker 1>it's an accident that the people who have sort of

0:54:07.520 --> 0:54:09.880
<v Speaker 1>lad the research and the critique and sort of the

0:54:10.920 --> 0:54:12.880
<v Speaker 1>you know, the insights were drawing on as sort of

0:54:13.000 --> 0:54:17.200
<v Speaker 1>tech critics or whatever you call us, um are women

0:54:17.280 --> 0:54:20.600
<v Speaker 1>of color generally, right, Um, you know there is something

0:54:21.520 --> 0:54:24.560
<v Speaker 1>about you know, coming into those spaces and you know,

0:54:24.760 --> 0:54:28.759
<v Speaker 1>always already not belonging because of how white they are,

0:54:28.880 --> 0:54:31.440
<v Speaker 1>because of how you know, these are deeply racist, deeply

0:54:31.480 --> 0:54:34.719
<v Speaker 1>misogynist spaces, like you know, some of like wildly so

0:54:34.880 --> 0:54:37.960
<v Speaker 1>in some cases. Um, I think you know, there's sort

0:54:37.960 --> 0:54:41.360
<v Speaker 1>of a sedimentary a cruel of experiences that has happened.

0:54:41.360 --> 0:54:43.640
<v Speaker 1>Like people talk, there was always a whisper network. There

0:54:43.640 --> 0:54:47.200
<v Speaker 1>always is a whisper network, right, Um, you know I'm

0:54:47.200 --> 0:54:50.680
<v Speaker 1>not you know, a lot of things sort of happened

0:54:50.719 --> 0:54:53.439
<v Speaker 1>and changed. Like when I started in two thousand and six,

0:54:53.440 --> 0:54:56.240
<v Speaker 1>there were you know, somewhere between three and five thousand

0:54:57.000 --> 0:55:00.799
<v Speaker 1>workers at Google. Right there are over two or thousand now,

0:55:01.280 --> 0:55:04.000
<v Speaker 1>and you know that is made up of half, you know,

0:55:04.040 --> 0:55:06.359
<v Speaker 1>more than half of those are contractors and temps, which

0:55:06.360 --> 0:55:08.880
<v Speaker 1>is also the trend of sort of you know, Actually,

0:55:08.920 --> 0:55:11.120
<v Speaker 1>work isn't safe for anyone. There is no such thing

0:55:11.160 --> 0:55:13.680
<v Speaker 1>as non precarious work. And you know, if it hasn't

0:55:13.680 --> 0:55:15.839
<v Speaker 1>happened to you yet, it's happening to you. Right, there's

0:55:15.840 --> 0:55:19.319
<v Speaker 1>a whole you know, historical changes Trump happened, right, you know,

0:55:19.400 --> 0:55:23.480
<v Speaker 1>Facebook cameradge Analytica happened. There's been you know, both a

0:55:23.680 --> 0:55:26.520
<v Speaker 1>swell in the power of these companies and at the

0:55:26.520 --> 0:55:29.200
<v Speaker 1>same time, so I'm just like kind of egregious and

0:55:29.239 --> 0:55:32.560
<v Speaker 1>embarrassing disasters. Um. So I you know, I don't think

0:55:32.600 --> 0:55:35.080
<v Speaker 1>it's any one thing. I think all of those things

0:55:35.120 --> 0:55:37.040
<v Speaker 1>that you know, I can speak at Google. The thing

0:55:37.080 --> 0:55:41.239
<v Speaker 1>that I think more than more than any other one

0:55:41.360 --> 0:55:44.680
<v Speaker 1>event sort of shifted the tide was the Naven contract.

0:55:45.120 --> 0:55:47.319
<v Speaker 1>And this was a secretive contract that Google had with

0:55:47.400 --> 0:55:51.200
<v Speaker 1>the Department of Defense to build you know, drone targeting

0:55:51.640 --> 0:55:56.759
<v Speaker 1>and surveillance AI for you know, for the drone program, right.

0:55:56.840 --> 0:55:59.399
<v Speaker 1>But it was facial and object recognition. Is that right?

0:56:00.000 --> 0:56:02.520
<v Speaker 1>It was object recognition. Um. It had a sort of

0:56:02.560 --> 0:56:05.400
<v Speaker 1>person category when we look through the code, right, like

0:56:05.440 --> 0:56:08.240
<v Speaker 1>it's you know it is and it's trained on images

0:56:08.480 --> 0:56:11.799
<v Speaker 1>from you know, from the Middle East. Like again, we

0:56:11.840 --> 0:56:14.279
<v Speaker 1>don't know. But I think this also gets to like

0:56:14.560 --> 0:56:17.040
<v Speaker 1>there's an idea that you know a lot of the

0:56:17.200 --> 0:56:19.520
<v Speaker 1>people who are sort of pushing back against our descent

0:56:19.640 --> 0:56:22.440
<v Speaker 1>there against our call to cancel this Maven contracts with

0:56:22.600 --> 0:56:25.000
<v Speaker 1>maybe with the name for it. Um. You know, we're

0:56:25.000 --> 0:56:28.160
<v Speaker 1>saying like, you know, well, the best technology will actually

0:56:28.360 --> 0:56:31.120
<v Speaker 1>you know, save lives, right, Like, how are you withholding

0:56:31.200 --> 0:56:33.560
<v Speaker 1>this from the people who need it? What you're doing

0:56:33.680 --> 0:56:36.200
<v Speaker 1>is actually sort of you know, misguided, and you're going

0:56:36.239 --> 0:56:38.680
<v Speaker 1>to cost lives because they don't have the intelligence they need.

0:56:38.719 --> 0:56:41.640
<v Speaker 1>And somehow automation will help that, but you know, it

0:56:41.680 --> 0:56:44.319
<v Speaker 1>doesn't answer the fundamental question like your your data is

0:56:44.360 --> 0:56:46.640
<v Speaker 1>only good as your impel Right. There isn't a magic

0:56:47.080 --> 0:56:48.920
<v Speaker 1>you know, amount of data that's going to tell you

0:56:48.960 --> 0:56:51.840
<v Speaker 1>more than what you know. And this data is always

0:56:52.160 --> 0:56:56.880
<v Speaker 1>always irreducibly labeled by human beings, right, it only reflects

0:56:56.920 --> 0:56:59.160
<v Speaker 1>those insights and so when you know again, I think

0:56:59.160 --> 0:57:01.640
<v Speaker 1>this gets back to an earlier point around the sort

0:57:01.680 --> 0:57:05.319
<v Speaker 1>of like eliminating or displacing jobs. It just I think

0:57:05.360 --> 0:57:08.759
<v Speaker 1>it it degrades and hides those jobs. Right, But there's

0:57:08.760 --> 0:57:12.200
<v Speaker 1>always an army of precarious workers who are labeling that data, right,

0:57:12.280 --> 0:57:14.200
<v Speaker 1>saying like this is a you know, this is a house,

0:57:14.239 --> 0:57:16.600
<v Speaker 1>this is the sheep, this is a person that trains

0:57:16.640 --> 0:57:19.680
<v Speaker 1>the machine learning algorithm um, and it never gets better

0:57:19.760 --> 0:57:22.800
<v Speaker 1>than that. Right, Those are the the core subjectivities that

0:57:22.840 --> 0:57:25.120
<v Speaker 1>are embedded in that data. There is no sort of

0:57:25.160 --> 0:57:27.479
<v Speaker 1>magic wand right, it's all people all the way down.

0:57:27.480 --> 0:57:30.320
<v Speaker 1>But it obscures you know, where was there a human choice?

0:57:30.320 --> 0:57:33.040
<v Speaker 1>Where is there accountability? You know, is it Google or

0:57:33.080 --> 0:57:35.240
<v Speaker 1>the d O D who is accountable for another civilian

0:57:35.280 --> 0:57:38.760
<v Speaker 1>bound strike because it was informed by this software, etcetera.

0:57:39.200 --> 0:57:44.160
<v Speaker 1>Oh my god. So you're saying there's a person inside RoboCop. Yeah, yeah,

0:57:44.200 --> 0:57:46.800
<v Speaker 1>an army of people and they're not paid. Well, that's

0:57:46.840 --> 0:57:49.560
<v Speaker 1>the thing. I mean, that's like I worked in at

0:57:49.560 --> 0:57:52.000
<v Speaker 1>a tech publication for a couple of years, so sort

0:57:52.040 --> 0:57:54.640
<v Speaker 1>of like I mean, I was covering entertainment and didn't

0:57:54.800 --> 0:57:56.520
<v Speaker 1>no ship about tech, but I was sort of in

0:57:56.640 --> 0:57:58.200
<v Speaker 1>the world. It was around me in a way, and

0:57:58.240 --> 0:58:00.720
<v Speaker 1>like that was the thing that always sort of baffled

0:58:00.720 --> 0:58:04.240
<v Speaker 1>me on a very very abstract philosophical level. Again, this

0:58:04.320 --> 0:58:06.800
<v Speaker 1>thing of just like why do you deny that there

0:58:06.840 --> 0:58:11.240
<v Speaker 1>are humans? Like why deny the presence of humans? And

0:58:11.280 --> 0:58:14.000
<v Speaker 1>why does that equal the future? You know, it's such

0:58:14.040 --> 0:58:18.560
<v Speaker 1>a it's such a strange ground groundwork to start from.

0:58:19.440 --> 0:58:21.280
<v Speaker 1>Like if you're a tech if you're one of these

0:58:21.360 --> 0:58:23.800
<v Speaker 1>dudes who runs one of these companies, if you're if

0:58:23.840 --> 0:58:27.000
<v Speaker 1>you're a Peter Teal or something like, why I don't know, like,

0:58:27.040 --> 0:58:30.000
<v Speaker 1>why is that what your assumption of what progress looks like?

0:58:30.080 --> 0:58:33.160
<v Speaker 1>It's very strange. I don't I don't ask you to

0:58:33.160 --> 0:58:35.360
<v Speaker 1>have any psychological inside on any of these people, but

0:58:35.400 --> 0:58:39.480
<v Speaker 1>if you have any, that would be great. Uh, I mean, yeah,

0:58:39.520 --> 0:58:42.640
<v Speaker 1>they're not. There's kind of a cult of the socially awkward,

0:58:42.720 --> 0:58:46.320
<v Speaker 1>which has been used to minimize and justify bad behavior

0:58:46.360 --> 0:58:48.560
<v Speaker 1>for a long time. But I also think, you know,

0:58:48.640 --> 0:58:51.120
<v Speaker 1>as a materialist, I'm always like, well, it's a lot easier,

0:58:51.160 --> 0:58:53.400
<v Speaker 1>you know, if you can sell something as replacing kinds

0:58:53.440 --> 0:58:55.959
<v Speaker 1>of humans, you know, do it right. Like you don't

0:58:56.000 --> 0:59:00.600
<v Speaker 1>have a Genius of AI story or a the Amazing

0:59:00.640 --> 0:59:03.520
<v Speaker 1>Founders story. If you counted all that labor right, you're

0:59:03.520 --> 0:59:06.480
<v Speaker 1>not the heroes. If you recognize that this actually takes

0:59:06.720 --> 0:59:10.320
<v Speaker 1>a massive infrastructure that is built on irreducible human labor,

0:59:10.400 --> 0:59:13.200
<v Speaker 1>that is built on you know, this sort of you know,

0:59:13.280 --> 0:59:18.160
<v Speaker 1>extractive economy of you know, you know, taking or making

0:59:18.320 --> 0:59:20.400
<v Speaker 1>or faking a bunch of data to do all of

0:59:20.440 --> 0:59:22.919
<v Speaker 1>this right, it's not actually genius that's happening. It's sort

0:59:22.920 --> 0:59:26.360
<v Speaker 1>of the you know, uh, you know, regulatory arbitrage and

0:59:26.440 --> 0:59:30.160
<v Speaker 1>resource extraction. Um, it's not as it's not a story

0:59:30.240 --> 0:59:33.240
<v Speaker 1>that's as marketable, right, And um, I think for too

0:59:33.280 --> 0:59:36.760
<v Speaker 1>long we've just kind of guilelessly believed this idea that

0:59:36.920 --> 0:59:38.920
<v Speaker 1>you know, if you had an algorithm and an idea

0:59:39.040 --> 0:59:41.800
<v Speaker 1>in a garage, you could you know, you could create

0:59:41.840 --> 0:59:44.920
<v Speaker 1>something new and and and us. When we see these ideas,

0:59:44.960 --> 0:59:47.560
<v Speaker 1>they are progress and they are do represent a sort

0:59:47.600 --> 0:59:50.840
<v Speaker 1>of you know, positivist arc towards something better. Right. It

0:59:50.880 --> 0:59:52.720
<v Speaker 1>seems like there's a lot of like, if you can

0:59:52.800 --> 0:59:56.760
<v Speaker 1>do something, you have to um, which reminds me a

0:59:56.800 --> 0:59:58.680
<v Speaker 1>lot of like the D d T thing in the

0:59:58.680 --> 1:00:01.880
<v Speaker 1>twentieth century of just sort of hey, look what we

1:00:01.920 --> 1:00:05.360
<v Speaker 1>can make, uh, And people happen to be like, oh, actually,

1:00:05.400 --> 1:00:09.800
<v Speaker 1>just because you can make a poisonous gas, it doesn't

1:00:09.800 --> 1:00:13.360
<v Speaker 1>actually mean it's like an advance of technology or just

1:00:13.480 --> 1:00:15.560
<v Speaker 1>you know, but there are reasons not to do things.

1:00:15.640 --> 1:00:18.080
<v Speaker 1>There are moral and ethical reasons not to do things

1:00:18.120 --> 1:00:21.120
<v Speaker 1>that can can be done. But what I love about

1:00:21.120 --> 1:00:23.600
<v Speaker 1>your work so much is also you're saying, like these

1:00:23.600 --> 1:00:27.480
<v Speaker 1>things don't even work most of the time. No, I

1:00:27.520 --> 1:00:31.200
<v Speaker 1>mean they worked to you know, extract money and because

1:00:31.200 --> 1:00:33.600
<v Speaker 1>all their power, right, So like in a sense they

1:00:33.640 --> 1:00:36.680
<v Speaker 1>are working because like, ultimately, who's measuring what? You know,

1:00:36.680 --> 1:00:39.840
<v Speaker 1>they're kind of measuring that. But yeah, these don't know,

1:00:40.160 --> 1:00:45.280
<v Speaker 1>they're they're jankie, they're fallible, they're incontestable, they're frustrating. So

1:00:45.480 --> 1:00:48.160
<v Speaker 1>you would you you would you include the thing that

1:00:48.200 --> 1:00:51.440
<v Speaker 1>everybody's talking about right now is like facial recognition SoftWhere

1:00:51.840 --> 1:00:54.080
<v Speaker 1>UM at protests and stuff like that. Do you think

1:00:54.080 --> 1:00:57.400
<v Speaker 1>that that's ultimately not um a huge concern or the

1:00:57.400 --> 1:01:01.200
<v Speaker 1>technology just isn't just isn't in there yet, Like yeah,

1:01:01.280 --> 1:01:04.520
<v Speaker 1>I mean, I gotta be careful because yeah, it does,

1:01:04.840 --> 1:01:08.800
<v Speaker 1>it can recognize faces, right, but of course it um

1:01:08.880 --> 1:01:13.960
<v Speaker 1>it reflects the historical patterns of racism and misologyny that

1:01:14.120 --> 1:01:18.520
<v Speaker 1>any technology created in you know, in the context of

1:01:18.920 --> 1:01:21.880
<v Speaker 1>you know, it's time will reflect um and so it is.

1:01:21.920 --> 1:01:25.320
<v Speaker 1>You know, facial recognition software has been shown repeatedly to

1:01:26.760 --> 1:01:30.920
<v Speaker 1>produce far more errors for black women, for Native people,

1:01:31.120 --> 1:01:34.040
<v Speaker 1>for gender nonconforming people, So it's you know, yeah, it

1:01:34.400 --> 1:01:37.760
<v Speaker 1>is dangerous because it can, you know, live facial recognition

1:01:37.920 --> 1:01:41.600
<v Speaker 1>can track who's there, match them with a database of identities,

1:01:41.640 --> 1:01:44.560
<v Speaker 1>which because of driver's license databases and sort of government

1:01:44.560 --> 1:01:47.240
<v Speaker 1>I D programs and other programs where you know, like

1:01:47.320 --> 1:01:49.919
<v Speaker 1>Flicker where we've or Facebook where we've uploaded our face

1:01:49.960 --> 1:01:51.520
<v Speaker 1>with our name a number of times, and that can

1:01:51.560 --> 1:01:53.960
<v Speaker 1>be you know that is that is possible and it's

1:01:54.080 --> 1:01:56.480
<v Speaker 1>very dangerous. And I have you know, I have advocated

1:01:56.560 --> 1:02:01.439
<v Speaker 1>sort of banning facial recognition outright, Um, give in those dynamics. Oh,

1:02:01.480 --> 1:02:03.960
<v Speaker 1>I just wanted to see if you had kind of

1:02:04.000 --> 1:02:07.240
<v Speaker 1>any guidelines for people. I mean, we're right now conducting

1:02:07.280 --> 1:02:10.320
<v Speaker 1>this podcast. We're zooming so we can all see each other.

1:02:10.680 --> 1:02:12.800
<v Speaker 1>And I know that the way that we use technology

1:02:12.840 --> 1:02:15.840
<v Speaker 1>has changed so much, um, even over the course of quarantine.

1:02:15.880 --> 1:02:18.479
<v Speaker 1>It wasn't like we kind of started off quarantine doing

1:02:18.480 --> 1:02:20.320
<v Speaker 1>all the things that we now have to do to

1:02:20.400 --> 1:02:23.600
<v Speaker 1>keep up with work. But for you, who knows about

1:02:23.600 --> 1:02:26.280
<v Speaker 1>these things, how would you advise other people to take

1:02:26.320 --> 1:02:30.640
<v Speaker 1>precautions to protect themselves against being you know, having facial

1:02:30.680 --> 1:02:33.000
<v Speaker 1>recognition software used against them and things like that, Like,

1:02:33.040 --> 1:02:35.920
<v Speaker 1>how do you personally kind of operate to protect yourself

1:02:36.160 --> 1:02:38.000
<v Speaker 1>And how do you recommend that people who are either

1:02:38.040 --> 1:02:40.440
<v Speaker 1>going to protests or just doing a lot of like

1:02:40.600 --> 1:02:42.960
<v Speaker 1>zooming and zen castering and stuff like that, how do

1:02:43.000 --> 1:02:46.640
<v Speaker 1>you recommend that they take precautions. Yeah, I mean there

1:02:46.640 --> 1:02:49.200
<v Speaker 1>are a bunch of good security guides for protests, but

1:02:49.280 --> 1:02:52.560
<v Speaker 1>like wear a mask, right, mass laws are are off

1:02:52.640 --> 1:02:54.760
<v Speaker 1>right now we can wear masks. That's really big. Um,

1:02:54.800 --> 1:02:58.200
<v Speaker 1>we're big sunglasses, right those those do you know perturb

1:02:58.280 --> 1:03:01.640
<v Speaker 1>facial recognition. It's good to do that. Um. But I

1:03:01.640 --> 1:03:05.080
<v Speaker 1>think you know, the main message here for me is

1:03:05.120 --> 1:03:08.160
<v Speaker 1>this is not you know, a kind of this is

1:03:08.200 --> 1:03:11.720
<v Speaker 1>not a problem of kind of neoliberal individual responsibility, right,

1:03:12.080 --> 1:03:14.760
<v Speaker 1>Like we are looking at yeah, and we're looking at

1:03:14.840 --> 1:03:17.880
<v Speaker 1>you know, we have we live in we have you know,

1:03:17.920 --> 1:03:20.280
<v Speaker 1>we are in a world where participation in you know,

1:03:20.400 --> 1:03:26.320
<v Speaker 1>social and political and economic life requires are using these technologies, right,

1:03:26.360 --> 1:03:29.360
<v Speaker 1>Like going into a cave and only using tour isn't

1:03:29.400 --> 1:03:31.160
<v Speaker 1>going to you know, there are a number of reasons

1:03:31.200 --> 1:03:33.480
<v Speaker 1>that won't work, but it's not you know, it's not

1:03:33.520 --> 1:03:35.160
<v Speaker 1>a choice for most people, and I think we have

1:03:35.200 --> 1:03:38.240
<v Speaker 1>to recognize that. You know, the the things that I

1:03:38.240 --> 1:03:41.360
<v Speaker 1>am most excited about are the advocacy and the organizing.

1:03:41.480 --> 1:03:44.800
<v Speaker 1>Right the the we we saw last year in and

1:03:44.840 --> 1:03:47.960
<v Speaker 1>twenty nineteen sort of a wave of facial recognition moratoria

1:03:48.080 --> 1:03:51.240
<v Speaker 1>and bands that were organized locally. Right, people said no,

1:03:51.480 --> 1:03:54.000
<v Speaker 1>you can't, you know, use these technologies. They showed up

1:03:54.000 --> 1:03:56.680
<v Speaker 1>at their civil City Council meetings, you know, they showed

1:03:56.720 --> 1:04:00.720
<v Speaker 1>up at their schools. There's been organizing around of the

1:04:00.840 --> 1:04:03.080
<v Speaker 1>use of these tools in schools by parents. But I

1:04:03.080 --> 1:04:07.040
<v Speaker 1>think it's you know, I really do think that's you know,

1:04:07.040 --> 1:04:09.280
<v Speaker 1>where it starts. I think there are people looking at

1:04:09.280 --> 1:04:11.360
<v Speaker 1>sort of all axes. You know, there's a no Tech

1:04:11.400 --> 1:04:14.560
<v Speaker 1>for ICE campaign, which has been really good at applying

1:04:14.600 --> 1:04:18.000
<v Speaker 1>pressure on the tech companies that are providing disurveillance and

1:04:18.000 --> 1:04:22.120
<v Speaker 1>tracking infrastructures that have fueled the family seperation policy and

1:04:22.160 --> 1:04:24.760
<v Speaker 1>are now you know, we now have those same companies

1:04:24.800 --> 1:04:28.000
<v Speaker 1>working with the Department of Health and Human Services and

1:04:28.040 --> 1:04:31.120
<v Speaker 1>the CDC to collect COVID data. It's unclear with the

1:04:31.160 --> 1:04:34.600
<v Speaker 1>data sharing agreements between you know, CDC and ICE might

1:04:34.640 --> 1:04:37.440
<v Speaker 1>be or HHS and ICE might be. So like, there

1:04:37.440 --> 1:04:39.320
<v Speaker 1>are all of these things that are going to impact

1:04:39.600 --> 1:04:41.840
<v Speaker 1>you know, people, and that people are already organizing around.

1:04:41.880 --> 1:04:44.680
<v Speaker 1>So I think, you know, sort of echoing the credo

1:04:44.800 --> 1:04:46.880
<v Speaker 1>like look at you know, who's doing what around you

1:04:46.920 --> 1:04:48.720
<v Speaker 1>and see where you can be helpful. But I don't,

1:04:49.240 --> 1:04:51.800
<v Speaker 1>you know, I'm really I reject sort of shaming people

1:04:51.880 --> 1:04:56.520
<v Speaker 1>for using technology. I reject that mode. Um, but I

1:04:56.560 --> 1:04:58.760
<v Speaker 1>do think you know, connect it to a material issue

1:04:58.840 --> 1:05:01.480
<v Speaker 1>that matters to you, and you're of people in your community,

1:05:01.520 --> 1:05:03.920
<v Speaker 1>and you'll probably find a place where this stuff is

1:05:04.520 --> 1:05:07.600
<v Speaker 1>um doing some harm and where you could do some organizing. Yeah.

1:05:07.600 --> 1:05:10.080
<v Speaker 1>I mean, I feel like pointing out that they're humans

1:05:10.160 --> 1:05:13.080
<v Speaker 1>behind all of this stuff, um, and that they need

1:05:13.120 --> 1:05:17.000
<v Speaker 1>those humans for these companies to function. Um. Just with

1:05:17.040 --> 1:05:21.080
<v Speaker 1>the Amazon stuff that was happening with warehouse workers uh

1:05:22.480 --> 1:05:26.200
<v Speaker 1>uh those people. Yeah, I think just to to let

1:05:26.280 --> 1:05:29.360
<v Speaker 1>to empower the workers to know that they the companies

1:05:29.400 --> 1:05:32.880
<v Speaker 1>need them. The companies can't function without them, Yeah, and

1:05:33.160 --> 1:05:36.400
<v Speaker 1>that gives them power. Like great organizing going on with

1:05:36.520 --> 1:05:40.800
<v Speaker 1>gig workers, your Taxi Workers Alliance, UM, there's the Drivers

1:05:40.920 --> 1:05:44.800
<v Speaker 1>United on the West Coast. There's organizing with instacrat workers

1:05:44.800 --> 1:05:48.280
<v Speaker 1>and gig Workers Rising. There's um the Gig Workers Collective.

1:05:48.320 --> 1:05:51.880
<v Speaker 1>There's there's a lot of really interesting organizing. It sort

1:05:51.880 --> 1:05:54.240
<v Speaker 1>of at the forefront that is beginning to sort of

1:05:54.240 --> 1:05:57.320
<v Speaker 1>flex and withhold labor um and has seen changes based

1:05:57.360 --> 1:05:59.640
<v Speaker 1>on that, and so many of those tech companies seem

1:05:59.680 --> 1:06:01.720
<v Speaker 1>like they were just made to get around labor laws.

1:06:02.480 --> 1:06:04.240
<v Speaker 1>It's like the joke. It's like the move fast and

1:06:04.280 --> 1:06:07.520
<v Speaker 1>break things, and what you're breaking is labor laws and

1:06:07.640 --> 1:06:11.480
<v Speaker 1>regressing to like, you know, old piece work laws that

1:06:12.080 --> 1:06:14.440
<v Speaker 1>or old piece work norms that. Like I would I

1:06:14.480 --> 1:06:17.480
<v Speaker 1>would point to the work of a legal scholar being

1:06:17.520 --> 1:06:19.080
<v Speaker 1>a new ball who has looked a lot at this,

1:06:19.120 --> 1:06:21.000
<v Speaker 1>and it's like, actually, this is just a return to

1:06:21.040 --> 1:06:24.280
<v Speaker 1>the past with some like entrepreneurial language left on on top.

1:06:24.720 --> 1:06:28.560
<v Speaker 1>One thing I've also noticed is that there's like a

1:06:28.680 --> 1:06:32.320
<v Speaker 1>reluctance in tech companies to admit that they're doing anything wrong. Ever,

1:06:33.080 --> 1:06:35.040
<v Speaker 1>I had a friend who's working for a company that

1:06:35.440 --> 1:06:38.920
<v Speaker 1>took a contract with Ice, and when she called them

1:06:38.920 --> 1:06:41.000
<v Speaker 1>out about it, they were like, well, we don't know

1:06:41.080 --> 1:06:45.760
<v Speaker 1>what they're using that facial recognition technology for. They could

1:06:45.760 --> 1:06:50.760
<v Speaker 1>be using it to reunite families. She quit. She quit,

1:06:50.960 --> 1:06:55.000
<v Speaker 1>but more power to her. Yeah. I mean they'll say ship,

1:06:55.280 --> 1:06:58.080
<v Speaker 1>they'll say some wild ship, right. Like I remember being

1:06:58.120 --> 1:07:01.160
<v Speaker 1>up on stage debating Mayven with some executives at Google

1:07:01.520 --> 1:07:03.600
<v Speaker 1>and they were like, well, tech is a hammer. A

1:07:03.680 --> 1:07:05.960
<v Speaker 1>hammer can be used to harm or to build, And

1:07:06.000 --> 1:07:09.040
<v Speaker 1>I was like, that is like from people who sort

1:07:09.040 --> 1:07:11.680
<v Speaker 1>of claim the expert knowledge on these systems. It was

1:07:11.760 --> 1:07:16.120
<v Speaker 1>just a wildly lazy statement, and I think it's clear

1:07:16.160 --> 1:07:19.240
<v Speaker 1>that like these people actually haven't thought through what they're

1:07:19.240 --> 1:07:21.960
<v Speaker 1>doing right. They have allowed these sort of like extreme

1:07:22.080 --> 1:07:25.520
<v Speaker 1>like whippers in mythologies to assure them that they're anything

1:07:25.560 --> 1:07:28.480
<v Speaker 1>they do is doing good. And now they're confronted with

1:07:28.520 --> 1:07:31.560
<v Speaker 1>some extraordinarily complex questions that they don't have the training,

1:07:31.600 --> 1:07:33.000
<v Speaker 1>they don't have the background, and they don't have the

1:07:33.080 --> 1:07:35.480
<v Speaker 1>stomach to answer honestly. And so you get these like

1:07:36.240 --> 1:07:42.080
<v Speaker 1>strange ass platitudes for people who are working for these

1:07:42.120 --> 1:07:45.680
<v Speaker 1>companies in any capacity. And I'm sure we have people

1:07:45.800 --> 1:07:48.400
<v Speaker 1>and among our listeners who do whether you're a driver

1:07:48.520 --> 1:07:51.920
<v Speaker 1>for Uber or a programmer or whatever, what what's your

1:07:52.000 --> 1:07:54.880
<v Speaker 1>kind of stands generally on Like this thing that Molly

1:07:55.000 --> 1:07:57.640
<v Speaker 1>was talking about where you know, her friend decided not

1:07:57.680 --> 1:08:00.480
<v Speaker 1>to work for this company. Is it the I feel

1:08:00.520 --> 1:08:02.320
<v Speaker 1>like this is a debate all the time where it's like, well,

1:08:02.320 --> 1:08:08.240
<v Speaker 1>should I me a good conscientious person, uh enter this

1:08:08.280 --> 1:08:12.680
<v Speaker 1>community and hopefully be some sort of agent of change

1:08:12.760 --> 1:08:14.760
<v Speaker 1>or good with it it, or should I just stay

1:08:14.760 --> 1:08:17.960
<v Speaker 1>out of it altogether? Like what do you what's your

1:08:17.960 --> 1:08:22.560
<v Speaker 1>feeling on that. I mean, I you know, this is complicated,

1:08:22.600 --> 1:08:25.720
<v Speaker 1>like people need to eat, people need jobs, like we

1:08:25.760 --> 1:08:28.560
<v Speaker 1>don't you know that is a problem, you know, like why,

1:08:28.920 --> 1:08:31.680
<v Speaker 1>you know, why why do we have to spend so

1:08:31.760 --> 1:08:36.000
<v Speaker 1>much of our finite magical lifetime, uh in the service

1:08:36.040 --> 1:08:38.080
<v Speaker 1>of wage work. I think that's a question sort of

1:08:38.479 --> 1:08:40.360
<v Speaker 1>you know that frames this a bit. But I don't

1:08:40.720 --> 1:08:43.200
<v Speaker 1>you know what, Like I don't know. I was poor

1:08:43.280 --> 1:08:44.920
<v Speaker 1>growing up, and one of the things who gave me

1:08:45.000 --> 1:08:46.680
<v Speaker 1>was sort of access to sort of a class and

1:08:46.760 --> 1:08:49.200
<v Speaker 1>we'll learn those mannerisms that like I wouldn't have had

1:08:49.360 --> 1:08:51.080
<v Speaker 1>other ways, you know, in college did that to an

1:08:51.080 --> 1:08:55.240
<v Speaker 1>extent um. You know, I started organizing when I realized

1:08:55.240 --> 1:08:57.519
<v Speaker 1>what I was doing as a sort of critic and

1:08:57.680 --> 1:09:02.679
<v Speaker 1>like internal like a researcher isn't actually helping things. But again,

1:09:02.840 --> 1:09:05.240
<v Speaker 1>I think that's you know, if you're going to go

1:09:05.320 --> 1:09:08.760
<v Speaker 1>up against power, do it with other people. If you're

1:09:08.760 --> 1:09:11.519
<v Speaker 1>in a position to do that, do that. Recognize that

1:09:11.600 --> 1:09:13.200
<v Speaker 1>there are a lot of people who aren't always in

1:09:13.200 --> 1:09:15.160
<v Speaker 1>that position. You know, there are people on visas, there

1:09:15.160 --> 1:09:18.240
<v Speaker 1>are people who are you know, the soul breadwinner, but

1:09:18.240 --> 1:09:21.040
<v Speaker 1>that there are ways to sort of at least begin

1:09:21.120 --> 1:09:24.400
<v Speaker 1>to build like the relational bonds of solidarity with the

1:09:24.400 --> 1:09:27.160
<v Speaker 1>people around you, which in itself I think is is

1:09:27.200 --> 1:09:30.600
<v Speaker 1>extremely radical. Right when you begin to replace your identity

1:09:30.720 --> 1:09:34.840
<v Speaker 1>in a workplace, you know, when you stop identifying with

1:09:34.880 --> 1:09:37.240
<v Speaker 1>your sort of position within a hierarchy as who you

1:09:37.280 --> 1:09:39.120
<v Speaker 1>are and how you fit in this space, and start

1:09:39.240 --> 1:09:42.439
<v Speaker 1>identifying with your relationships with the people around you and

1:09:42.479 --> 1:09:45.200
<v Speaker 1>what you owe them as sort of a practice of solidarity.

1:09:45.840 --> 1:09:48.479
<v Speaker 1>It's like a transformative thing to do. And it is

1:09:48.720 --> 1:09:53.040
<v Speaker 1>like there's a reason that, um, you know, like capital

1:09:53.080 --> 1:09:56.280
<v Speaker 1>has fought back against those forms and that those forms

1:09:56.280 --> 1:09:59.160
<v Speaker 1>haven't changed much over you know, years and years, right,

1:09:59.200 --> 1:10:01.360
<v Speaker 1>that like that is of how you build power. So

1:10:01.400 --> 1:10:03.960
<v Speaker 1>I think at least engaging in that and then you know,

1:10:03.960 --> 1:10:07.360
<v Speaker 1>knowing that to be safe, you're gonna need you know,

1:10:07.400 --> 1:10:09.680
<v Speaker 1>you're gonna need critical maths, so figure out where you

1:10:09.720 --> 1:10:12.439
<v Speaker 1>start from there. Well, that also, I think by talking

1:10:12.439 --> 1:10:15.400
<v Speaker 1>about how you know, we need to engage with technology

1:10:15.560 --> 1:10:18.439
<v Speaker 1>as both users and in a many of us in

1:10:18.479 --> 1:10:21.800
<v Speaker 1>like a professional capacity. The fact that it's it is

1:10:21.880 --> 1:10:23.600
<v Speaker 1>such a privilege to be able to opt out of

1:10:23.640 --> 1:10:26.120
<v Speaker 1>those things that almost none of us are afforded right now.

1:10:26.200 --> 1:10:29.240
<v Speaker 1>So it seems like the best path forward is to,

1:10:29.479 --> 1:10:32.519
<v Speaker 1>like you said, to to organize, to recognize the power

1:10:32.600 --> 1:10:36.120
<v Speaker 1>of kind of speaking up and like you know, uniting

1:10:36.160 --> 1:10:39.240
<v Speaker 1>and like being critical of these institutions is really the

1:10:39.280 --> 1:10:41.840
<v Speaker 1>only option. Like I I can't imagine right now many

1:10:41.840 --> 1:10:44.840
<v Speaker 1>people can afford to quit a job. It's probably the

1:10:44.840 --> 1:10:48.280
<v Speaker 1>worst time in the world to consider that. Uh. And

1:10:48.320 --> 1:10:52.360
<v Speaker 1>also just you know, the connection offered by social media

1:10:52.560 --> 1:10:55.360
<v Speaker 1>when everyone is isolated, it's you know, it's a difficult

1:10:55.520 --> 1:10:58.920
<v Speaker 1>time to consider just like making the choice to opt

1:10:58.960 --> 1:11:01.960
<v Speaker 1>out of those things. So that makes sense. Yeah, And frankly,

1:11:02.000 --> 1:11:04.280
<v Speaker 1>you can't opt out, right. You are the surveilled, right,

1:11:04.560 --> 1:11:06.960
<v Speaker 1>collecting it from street polls, They're collecting it from sensers,

1:11:06.960 --> 1:11:09.000
<v Speaker 1>They're collecting it from your credit card, They're collecting it

1:11:09.040 --> 1:11:11.240
<v Speaker 1>from the geo data on your phone. You know, you

1:11:11.240 --> 1:11:14.320
<v Speaker 1>cannot carry a phone, but then you can't get work email. Right,

1:11:14.439 --> 1:11:17.800
<v Speaker 1>They're collecting it, you know, from data brokers that you know,

1:11:17.840 --> 1:11:20.880
<v Speaker 1>pull from you your family's social media profile. So there

1:11:20.920 --> 1:11:24.559
<v Speaker 1>isn't again, it's not an individual even if you were

1:11:24.600 --> 1:11:27.599
<v Speaker 1>to be sort of incredibly squeaky clean, even an absence

1:11:27.600 --> 1:11:30.200
<v Speaker 1>of data can be tagged a sort of data, right,

1:11:30.240 --> 1:11:33.800
<v Speaker 1>so UM, it's not I think users is actually almost

1:11:33.800 --> 1:11:41.360
<v Speaker 1>a data term in this case because we're UM, well,

1:11:41.560 --> 1:11:44.280
<v Speaker 1>thank you so much for joining us this week, Meredith.

1:11:44.360 --> 1:11:48.840
<v Speaker 1>The suspense that should uh enlightening conversation. UH, and we

1:11:48.920 --> 1:11:52.599
<v Speaker 1>really appreciate all of your insight and experience and and

1:11:52.760 --> 1:11:55.840
<v Speaker 1>everything you have to say. It's great. UM. Where can

1:11:55.880 --> 1:12:00.600
<v Speaker 1>people find you online? You can find me on Twitter. UM.

1:12:00.640 --> 1:12:03.479
<v Speaker 1>You can also visit the AI Now Institute website for

1:12:03.560 --> 1:12:06.759
<v Speaker 1>some of the work that UM, you know that brilliant

1:12:06.760 --> 1:12:10.479
<v Speaker 1>team is doing that I'm doing with them. UM. Yeah,

1:12:10.520 --> 1:12:12.559
<v Speaker 1>I think that's that's about it. UM. I would also

1:12:12.640 --> 1:12:16.360
<v Speaker 1>encourage people in tech to check out Tech Workers Coalition UM,

1:12:16.400 --> 1:12:20.280
<v Speaker 1>which is a you know, a loose organization that is

1:12:20.680 --> 1:12:24.920
<v Speaker 1>helping workers in tech organized UM and understand their power

1:12:25.000 --> 1:12:29.280
<v Speaker 1>and its contact. Awesome, awesome, Well, thank you so much, Meredith,

1:12:29.320 --> 1:12:30.840
<v Speaker 1>and we hope to have you back because this was

1:12:30.920 --> 1:12:34.080
<v Speaker 1>a really really great conversation. So thank you so much.

1:12:34.360 --> 1:12:36.920
<v Speaker 1>It was a delight. Have a great boy. Thank you

1:12:37.280 --> 1:12:40.040
<v Speaker 1>bye bye. Well, thank you so much for listening to

1:12:40.080 --> 1:12:43.160
<v Speaker 1>another episode of Nightcall. If you enjoyed the show, please

1:12:43.200 --> 1:12:45.280
<v Speaker 1>give us a rating and review, and don't forget to

1:12:45.280 --> 1:12:48.720
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1:12:48.760 --> 1:12:51.160
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1:12:51.240 --> 1:12:55.160
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1:12:55.360 --> 1:12:57.640
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1:12:57.800 --> 1:13:01.640
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1:13:01.680 --> 1:13:03.559
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1:13:03.560 --> 1:13:07.160
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1:13:07.200 --> 1:13:10.760
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1:13:10.760 --> 1:13:37.240
<v Speaker 1>Thanks again for listening. We'll be back next week. M