WEBVTT - The Story: How Is Tech Driving Deportations?

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<v Speaker 1>Welcome to Tech Stuff. I'm Os Voloshan here with Cara

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<v Speaker 1>Price High as Hi Cara. So we've talked on the

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<v Speaker 1>show a fair bit about facial recognition technology and the

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<v Speaker 1>ubiquity of data scraping by private companies. It does sometimes

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<v Speaker 1>feel a bit like we are living in a kind

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<v Speaker 1>of science fiction movie about the population of people who

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<v Speaker 1>are being technologically surveiled.

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<v Speaker 2>I think the movie is called Minority Report, and we

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<v Speaker 2>live in it right now.

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<v Speaker 1>And over the past few months, it's become impossible to

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<v Speaker 1>ignore how government agencies are partnering with private companies to

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<v Speaker 1>help in the efforts to do mass deportations.

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<v Speaker 2>Yeah, it's very disconcerting to read about how government agencies

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<v Speaker 2>are using facial recognition technology to detain deput tees.

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<v Speaker 1>Yeah, and it's not just facial recognition. We'll get into

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<v Speaker 1>all the different technologies that are being used today with

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<v Speaker 1>our friend Joseph Cox from four oho form Media. The

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<v Speaker 1>amount of data that immigration and customs enforcement can scrape

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<v Speaker 1>and utilize is pretty mind blowing. And on the other

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<v Speaker 1>side of it, people have developed products to help track

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<v Speaker 1>ice activity, but those products and apps have been removed

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<v Speaker 1>from the Apple App Store, and also I think from

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<v Speaker 1>the Android app stores, which limits how much people are

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<v Speaker 1>able to use these tools.

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<v Speaker 2>You know, how private tech companies are responding to ICE

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<v Speaker 2>does put a spotlight on the relationship between Silicon Valley

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<v Speaker 2>and this presidential administration.

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<v Speaker 1>Joseph said, it's really astonishing what a different environment it

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<v Speaker 1>is now versus the first Trump administration in that respect,

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<v Speaker 1>which we'll get into but without further ado, here's my

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<v Speaker 1>conversation with Joseph Cox. Thanks for joining us today.

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<v Speaker 3>Joseph, yeah, absolutely, thank you for having me.

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<v Speaker 1>So I've got to be questions what's going on with

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<v Speaker 1>ICE in technology and how worried should we all be

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<v Speaker 1>about what's going on?

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<v Speaker 3>So ICE is buying essentially every surveillance technology available under

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<v Speaker 3>the sun. A very brief overview is facial recognition technology,

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<v Speaker 3>social media surveillance, phone location data, spyware for hacking into

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<v Speaker 3>phones remotely fake cell phone towers as well, if you

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<v Speaker 3>can imagine it, and if a law enforcement agency has

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<v Speaker 3>had it before in the US, ICE has almost certainly

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<v Speaker 3>this point purchased it or adapted it, or is at

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<v Speaker 3>least thinking about buying it. As for your second question,

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<v Speaker 3>we actually just published an article today about ICE and

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<v Speaker 3>Customs and Border Protection officials using a facial recognition app

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<v Speaker 3>in the field on people that stops to verify their citizenship.

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<v Speaker 3>And a lawmaker who's also been following the issue told

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<v Speaker 3>me that ICE believes a result from this app can

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<v Speaker 3>override a birth certificate in determining whether someone is a

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<v Speaker 3>citizen of the United States or not. That is obviously

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<v Speaker 3>incredibly alarming that you're going to take the results from

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<v Speaker 3>a piece of technology and you're going to trust that

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<v Speaker 3>and a notoriously inaccurate technology sometimes, and you're going to

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<v Speaker 3>trust that over the piece of paper that says that

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<v Speaker 3>somebody is a US citizen.

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<v Speaker 1>What is the reliability of facial recognition software today?

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<v Speaker 3>So I don't know about this specific technology it's called

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<v Speaker 3>Mobile Fortify, but broadly, over the years, as companies and

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<v Speaker 3>governments have been deploying and developing facial recognition technology, we've

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<v Speaker 3>seen there are racial biases. Often because the data sets

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<v Speaker 3>of all of these photos of faces used to train

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<v Speaker 3>the AI or the machine learning algorithms, they don't have

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<v Speaker 3>as many black people or brown people in them, so

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<v Speaker 3>they can actually be very inaccurate at directly identifying people.

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<v Speaker 3>We've seen a ton of coverage in the New York Times,

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<v Speaker 3>for example, where people have been arrested by mistake because

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<v Speaker 3>they believe one black man is actually another one based

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<v Speaker 3>on the facial recognition technology. Again, I don't know the

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<v Speaker 3>accuracy of this specific tool that ICE is using. They

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<v Speaker 3>all do vary, but this bias, and especially racial bias,

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<v Speaker 3>has been our longstanding criticism of facial recognition over the

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<v Speaker 3>past five, six, even ten years.

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<v Speaker 1>I want to get in start of the specific tools, Joseph,

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<v Speaker 1>but before we get there, I actually several years ago

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<v Speaker 1>hosted a podcast on a very different topic, which was

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<v Speaker 1>called Forgotten Women at Fuarez, and it was about the

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<v Speaker 1>femicides and murders of women on the Texas Mexico border.

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<v Speaker 1>And one of the interesting things that came out of

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<v Speaker 1>spending time there was how everyone on the US side

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<v Speaker 1>of the border talks about the twenty five miles inland

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<v Speaker 1>from the border as this kind of zone where the

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<v Speaker 1>law that govern law enforcement don't really apply. There's all

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<v Speaker 1>these kind of special exceptions for border enforcement and stuff,

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<v Speaker 1>and that therefore that area became a kind of early

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<v Speaker 1>testing ground for both actions that might be considered extra judicial,

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<v Speaker 1>but also for technologies that the wider population wouldn't accept

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<v Speaker 1>if they were deployed on the wider population. Are we

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<v Speaker 1>now seeing the metastasis of the border area and the

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<v Speaker 1>technology used to surveil it and control it across the

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<v Speaker 1>whole country?

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<v Speaker 3>Yeah, I think absolutely. I think a concrete example would

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<v Speaker 3>be the use of surveillance drones. Many people will associate

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<v Speaker 3>these very large predator drones with the US War on terror,

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<v Speaker 3>firing health fire missiles in the Iraq, Afghanistan, Yemen, that

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<v Speaker 3>sort of thing. Those same drones or be unarmed have

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<v Speaker 3>been surveiling the US Mexico border and the Canadian border

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<v Speaker 3>as well for years and years and years. What happened

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<v Speaker 3>now more regularly and more frequently is that DHS will

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<v Speaker 3>fly those same high powered surveillance drones again that were

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<v Speaker 3>designed for war zones above US cities. The most recent

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<v Speaker 3>example of that was the La anti Ice protests and

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<v Speaker 3>DHS flew those same drones above the city. They even

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<v Speaker 3>published some of the footage in social media posts. And

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<v Speaker 3>we see it in all sorts of different technology as well,

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<v Speaker 3>maybe downloading the contents of your phone, which is very

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<v Speaker 3>easy at a border where people have fewer rights obviously

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<v Speaker 3>because they're crossing a border or entering or leaving. We're

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<v Speaker 3>absolutely going to see that sort of thing proliferating. And

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<v Speaker 3>that's one of the main worries from the surveillance experts

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<v Speaker 3>I speak to, is this trickle down effect of well,

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<v Speaker 3>this technology starts in an immigration context, then it goes

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<v Speaker 3>to domestic immigration enforcement, and then it ends up with

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<v Speaker 3>local cops or local sheriff's office.

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<v Speaker 1>Or you hear Trump talking about having the military practiced

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<v Speaker 1>on pops in sanctuary cities. Makes me think of Anderil,

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<v Speaker 1>the weapons manufacturer who are doing all these drones and

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<v Speaker 1>autonomous weapons that are being exported to Taiwan in preparation

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<v Speaker 1>for a potential conflict there. But I believe that Anderil

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<v Speaker 1>back in twenty sixteen developed a lot of these technologies,

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<v Speaker 1>these weapons of wars, again starting off with border contracts.

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<v Speaker 1>So this intersection of the tech the military and using

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<v Speaker 1>military methods to control domestic populations, I mean, as just

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<v Speaker 1>a set of ideas, it's quite terrifying.

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<v Speaker 3>Yeah, Andreill runs these AI powered towers all across the

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<v Speaker 3>US Mexico border and the US Canadian border as well.

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<v Speaker 3>They're capable of all sorts of things like AI object recognition,

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<v Speaker 3>tracking people, tracking vehicles, alerting DHS officials, all of that

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<v Speaker 3>sort of thing. And there is just a big shift

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<v Speaker 3>now in Silicon Valley in the tech companies where they

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<v Speaker 3>are more explicitly going to work with the government. Whereas

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<v Speaker 3>before Facebook, Instagram, Meta, Twitter or whoever uber, they were

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<v Speaker 3>very much separate from the government. We're making consumer goods,

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<v Speaker 3>We're making an app for whatever reason. Tech companies today

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<v Speaker 3>are not only leaning into they're very proud to work

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<v Speaker 3>with the government. And Andrew has been a leader in that,

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<v Speaker 3>And obviously other examples would be palanted, for example, where

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<v Speaker 3>these companies say, this is our purpose is to protect

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<v Speaker 3>the United States. Now, of course, how people understand what

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<v Speaker 3>protecting the United States might actually be is obviously going

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<v Speaker 3>to vary, especially when we talk about surveillance technology and

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<v Speaker 3>how that's being used and who is being used against.

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<v Speaker 1>You mentioned facial recognition. Clearview AI always seems to come

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<v Speaker 1>up sort of as the big batter wolf of this

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<v Speaker 1>topic area. Can you explain a bit about how that

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<v Speaker 1>technology or that company is being used by or partnered with,

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<v Speaker 1>the government.

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<v Speaker 3>Yes, so we just revealed that I paid clearview AI

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<v Speaker 3>another five million dollars for access to its technology. Ice

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<v Speaker 3>has been contracting with Clearview for years. It's something of

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<v Speaker 3>the established player in the government or law enforcement facial

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<v Speaker 3>recognition space. What Clearview did several years ago was basically

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<v Speaker 3>scrape a ton of photos of people's faces from the

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<v Speaker 3>World Wide Web, so they're then no profiles, are social

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<v Speaker 3>media profiles. And they made this massive database which is

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<v Speaker 3>now something like ten billion images, and they allowed people

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<v Speaker 3>to upload a photo and we will then show you

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<v Speaker 3>similar photos, probably of the same person, and you can

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<v Speaker 3>then figure out who this person is. And when it

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<v Speaker 3>was revealed by The New York Times several years ago,

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<v Speaker 3>that was really crossing the line, like Facebook could have

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<v Speaker 3>done this, and although they had facial recognition technology, it

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<v Speaker 3>was to tag people, you know, when you tag your

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<v Speaker 3>friends and your photos. It wasn't to unmask strangers. Google

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<v Speaker 3>could have done it. They said, this is two dangerous,

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<v Speaker 3>we don't want to Clearview cross that line. And incredibly

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<v Speaker 3>controversial all the time, still controversial now, but it's almost

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<v Speaker 3>normal now. There are Clearview contracts every single day essentially

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<v Speaker 3>where local cops are already using that, sheriff's offices are

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<v Speaker 3>or using that, and ICE is absolutely using it as well.

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<v Speaker 3>With this latest contract. Ice spent this five million dollars

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<v Speaker 3>in part because it believes it can use facial recognition

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<v Speaker 3>technology to unmask the people that it believes are quote,

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<v Speaker 3>assaulting officers.

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<v Speaker 1>So that's facial recognition. There's also location tracking. Talk about flock.

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<v Speaker 3>Flock is an interesting company. A lot of people may

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<v Speaker 3>have actually heard about it because it is proliferated around

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<v Speaker 3>local communities. And what they do is they sell these

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<v Speaker 3>cameras to police departments or homeowner associations or neighborhoods or

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<v Speaker 3>city governments or whatever. And these cameras they sit stationary

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<v Speaker 3>at the road and they continuously scan every vehicle that

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<v Speaker 3>goes by. That will be the model of the car,

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<v Speaker 3>the brand, the color, and most importantly the license plate.

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<v Speaker 3>And this creates this vast surveillance network that law enforcement

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<v Speaker 3>officers can tap into without a warrant. Typically you enter

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<v Speaker 3>xyz license plate, it shows you all the locations this

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<v Speaker 3>vehicle has been and.

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<v Speaker 1>Do you have to be law enforce where anyone can

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<v Speaker 1>use this?

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<v Speaker 3>If your homeowners association, it's going to be the authorized

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<v Speaker 3>user of that particular homeowners association or that neighborhood or something.

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<v Speaker 3>It's similar to a ring camera. In a way, but

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<v Speaker 3>you're not going to be able to access all of

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<v Speaker 3>the data.

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<v Speaker 1>I couldn't if I was a stalker and know my

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<v Speaker 1>ex's number plate and therefore track them around the country

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<v Speaker 1>as an individual person. But as a member of law enforcement,

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<v Speaker 1>I could.

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<v Speaker 3>Yes. Essentially yes, and law enforcement have access to this

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<v Speaker 3>sort of additional capability, which is the National Lookup Tool,

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<v Speaker 3>where a cop, say in Texas, can search cameras in

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<v Speaker 3>Illinois or California. And that's not even a hypothetic example.

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<v Speaker 3>We actually reported that a law enforcement office in Texas

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<v Speaker 3>searched for a woman who self administered an abortion, and

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<v Speaker 3>it searched cameras all over the country, and crucially, we

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<v Speaker 3>found cops were performing lookups for ICE in this tool.

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<v Speaker 3>We got these spreadsheets has said all the reasons why,

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<v Speaker 3>and you scroll through them and some just say ICE,

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<v Speaker 3>some say immigration or immigration enforcement. Immigration protest was another

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<v Speaker 3>one as well, and that was already rarely interesting enough,

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<v Speaker 3>and Flock made serious changes after we revealed that, But

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<v Speaker 3>we then also learned that ICE actually had direct access

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<v Speaker 3>as well. They didn't even have to go through the cops,

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<v Speaker 3>and that's apparently stopped now, But ICE were getting access

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<v Speaker 3>to that system through a side door via local police,

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<v Speaker 3>but then also just direct access as well, so you've.

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<v Speaker 1>Got facial rehognition, license plate tracking, and then we have

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<v Speaker 1>this sort of system that sits even above, which is

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<v Speaker 1>the investigative case management you mentioned Palentier earlier. This is

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<v Speaker 1>this a Palentier product.

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<v Speaker 3>So it started as DHS project and it's basically a

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<v Speaker 3>centralized database and you look into it and you can

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<v Speaker 3>look up a person that is their name, social Security number,

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<v Speaker 3>maybe identifying features like tattoos or scars, that sort of thing.

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<v Speaker 3>Palenteer then started work on that, and this was years

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<v Speaker 3>and years ago. They've been doing this for something like

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<v Speaker 3>ten years at this point. But then with the second

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<v Speaker 3>Trump administration, something changed and it became clear that ICE

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<v Speaker 3>and DHS more broadly needed this tool to be a

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<v Speaker 3>bit more powerful, which is where they brought in Palenteer

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<v Speaker 3>to actually take over the development, not just the maintenance,

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<v Speaker 3>of this project. And that's how we come to immigration OS, which,

0:13:42.480 --> 0:13:45.840
<v Speaker 3>according to material I got leaked from inside Palenteer, is

0:13:45.920 --> 0:13:48.880
<v Speaker 3>designed to make it much easier to find the physical

0:13:48.960 --> 0:13:53.040
<v Speaker 3>location of aliens. Of course, the US government's terms for

0:13:53.240 --> 0:13:58.440
<v Speaker 3>immigrants essentially we don't know all of the different data

0:13:58.440 --> 0:14:02.720
<v Speaker 3>that's going into this system alan to their entire the

0:14:02.840 --> 0:14:06.400
<v Speaker 3>entire purpose of their existence is to match together all

0:14:06.400 --> 0:14:08.520
<v Speaker 3>of this different sorts of data from all over the

0:14:08.520 --> 0:14:12.319
<v Speaker 3>place and make it intelligible and readable for government customers.

0:14:12.520 --> 0:14:15.480
<v Speaker 3>So we can assume that Immigration OS is probably bringing

0:14:15.559 --> 0:14:18.240
<v Speaker 3>data from all over the place into an interface that

0:14:18.480 --> 0:14:21.600
<v Speaker 3>ICE or DHS can use to I mean, essentially track

0:14:21.640 --> 0:14:23.320
<v Speaker 3>down people at least recording some TIRA.

0:14:23.440 --> 0:14:28.120
<v Speaker 1>I got interesting. One of my dear friends and board

0:14:28.120 --> 0:14:32.080
<v Speaker 1>members at Kaleidoscope is a man called Stuart Carl who's

0:14:32.120 --> 0:14:34.600
<v Speaker 1>a First Amendment lawyer. He was actually the general counselor

0:14:34.680 --> 0:14:36.720
<v Speaker 1>for the Wall Street Journal for many years, and now

0:14:36.760 --> 0:14:42.239
<v Speaker 1>he teaches at Columbia Journalism School, and he advised students

0:14:43.120 --> 0:14:47.040
<v Speaker 1>basically to avoid posting on social media who are not

0:14:47.160 --> 0:14:50.640
<v Speaker 1>US citizens about political matters at least until after they graduate.

0:14:50.920 --> 0:14:53.360
<v Speaker 1>I think his point was get your degree that you've

0:14:53.400 --> 0:14:55.560
<v Speaker 1>come for, and then decide where you want to draw

0:14:55.600 --> 0:14:57.720
<v Speaker 1>your line. He got a lot of blowback for that,

0:14:57.840 --> 0:15:00.720
<v Speaker 1>and there was debate and a York Time story about it.

0:15:00.120 --> 0:15:04.200
<v Speaker 1>But this idea of second guessing what you post on

0:15:04.240 --> 0:15:07.440
<v Speaker 1>social media in the current political environment, I mean, how

0:15:07.480 --> 0:15:12.680
<v Speaker 1>programmatic is social media scrapian analysis versus opportunistic when they

0:15:12.720 --> 0:15:14.440
<v Speaker 1>already want to build a case against somebody.

0:15:14.960 --> 0:15:17.760
<v Speaker 3>Yeah, they do it in several different ways, but broadly,

0:15:18.320 --> 0:15:22.600
<v Speaker 3>you have right wing agitators who are constantly going through

0:15:22.640 --> 0:15:26.480
<v Speaker 3>social media Twitter, Instagram. Whatever they see something they don't like,

0:15:26.880 --> 0:15:30.720
<v Speaker 3>they flag it to the administration. And we have several

0:15:31.000 --> 0:15:35.320
<v Speaker 3>very high profile right wing social media personalities who are

0:15:35.360 --> 0:15:37.640
<v Speaker 3>clearly doing that, and they're emitting as much on their

0:15:37.680 --> 0:15:41.840
<v Speaker 3>own social media. The other side are these technological tools

0:15:42.320 --> 0:15:45.240
<v Speaker 3>which ICE has, Customs and Border Protection has, and the

0:15:45.280 --> 0:15:48.560
<v Speaker 3>State Department I believe has as well, and these are

0:15:48.800 --> 0:15:52.840
<v Speaker 3>broadly speaking AI powers. They say they can make decisions

0:15:52.960 --> 0:15:56.360
<v Speaker 3>or inferences based on somebody's profile, what they've posted, the

0:15:56.440 --> 0:15:58.400
<v Speaker 3>location they've done it from, and all of that sort

0:15:58.400 --> 0:16:02.840
<v Speaker 3>of thing. Again, already a black box. We're also trying

0:16:02.840 --> 0:16:05.320
<v Speaker 3>to look at a black box from the outside, so

0:16:05.360 --> 0:16:07.960
<v Speaker 3>it's doubly opaque about what is actually going on. But

0:16:08.040 --> 0:16:10.640
<v Speaker 3>what we do know is that these government agencies SUS

0:16:10.640 --> 0:16:14.400
<v Speaker 3>spend millions and millions of dollars on social media surveillance tools.

0:16:14.440 --> 0:16:17.280
<v Speaker 3>We just don't know exactly how it goes from post

0:16:17.600 --> 0:16:20.400
<v Speaker 3>to visa being taken away. But the threat is absolutely

0:16:20.400 --> 0:16:22.920
<v Speaker 3>there that if you say something that the administration does

0:16:23.000 --> 0:16:26.600
<v Speaker 3>not agree with, there's every chance that some sort of

0:16:26.640 --> 0:16:30.840
<v Speaker 3>pretense will be used to revoke you your immigration status.

0:16:31.160 --> 0:16:36.200
<v Speaker 1>You know. As this sort of ice crisis royals the country.

0:16:36.240 --> 0:16:39.320
<v Speaker 1>There are certain courts that are fighting back. I mean

0:16:39.360 --> 0:16:45.080
<v Speaker 1>recently in Chicago, one of the judges basically hauled in

0:16:45.160 --> 0:16:49.640
<v Speaker 1>the local head of border patrol and said, you know,

0:16:49.680 --> 0:16:51.400
<v Speaker 1>you have to come and report to me every single

0:16:51.480 --> 0:16:54.160
<v Speaker 1>day at six pm and what you're doing. You can't

0:16:54.200 --> 0:16:56.840
<v Speaker 1>throw tear gas into crowds where children are about to

0:16:56.920 --> 0:16:58.640
<v Speaker 1>arrive with the warning, etc.

0:16:58.880 --> 0:16:59.040
<v Speaker 3>Etc.

0:16:59.400 --> 0:17:03.320
<v Speaker 1>And essentially kind of insisted on some kind of role

0:17:03.560 --> 0:17:08.639
<v Speaker 1>for judiciary in managing the behavior or the illegal behavior

0:17:08.720 --> 0:17:12.040
<v Speaker 1>or the potentially illegal behavior of some officials. How's that

0:17:12.080 --> 0:17:14.160
<v Speaker 1>playing out in the tech realm, That's a.

0:17:14.200 --> 0:17:17.720
<v Speaker 3>Very good question, actually, Yeah. And with the court stuff, obviously,

0:17:17.760 --> 0:17:20.960
<v Speaker 3>that is the American system working as intenders, where you

0:17:20.960 --> 0:17:24.600
<v Speaker 3>have all of these different branches of government and all

0:17:24.640 --> 0:17:26.560
<v Speaker 3>of these other things, like the courts, and they provide

0:17:26.560 --> 0:17:31.800
<v Speaker 3>these checks and balances. That doesn't exist really for the

0:17:31.840 --> 0:17:37.480
<v Speaker 3>private surveillance tech social media industry. We have had impact

0:17:37.720 --> 0:17:41.600
<v Speaker 3>through our reporting. Again, our reporting or FLOCK ended up

0:17:41.640 --> 0:17:46.080
<v Speaker 3>with the company removing California, Illinois, and I think a

0:17:46.119 --> 0:17:49.440
<v Speaker 3>couple more states from its National Lookup TOL, meaning ICE

0:17:49.480 --> 0:17:52.160
<v Speaker 3>can no longer access those through the police, and then

0:17:52.280 --> 0:17:56.040
<v Speaker 3>FLOCK also stopped. It's more direct sharing with ICE and

0:17:56.040 --> 0:17:59.119
<v Speaker 3>Customs and Border Protection as well. There has been some

0:17:59.240 --> 0:18:04.200
<v Speaker 3>pressure from Democrats on House committees looking into the facial

0:18:04.240 --> 0:18:07.560
<v Speaker 3>recognition side as well after our reporting. That being said,

0:18:08.119 --> 0:18:12.000
<v Speaker 3>accountability looks very very different in the second of Trump administration,

0:18:12.400 --> 0:18:16.200
<v Speaker 3>where you have masked agents, you have officials physically assaulting

0:18:16.240 --> 0:18:18.840
<v Speaker 3>people in the corridors of court rooms in New York

0:18:18.880 --> 0:18:22.159
<v Speaker 3>and then two days later they're back at work. Accountability

0:18:22.160 --> 0:18:25.679
<v Speaker 3>looks very very different here. And for the tech stuff,

0:18:26.480 --> 0:18:31.440
<v Speaker 3>the accountability comes from the outside. It's not really from government,

0:18:31.480 --> 0:18:33.760
<v Speaker 3>because of course the government wants to work for these companies.

0:18:34.000 --> 0:18:36.920
<v Speaker 3>It can come from inside where people are clearly annoyed

0:18:36.920 --> 0:18:40.240
<v Speaker 3>inside Pale or Flock and then they'll provide information to me.

0:18:41.160 --> 0:18:44.440
<v Speaker 3>But it looks very very different to as you say,

0:18:44.520 --> 0:18:46.960
<v Speaker 3>taking a senior official in front of a judge and

0:18:47.000 --> 0:18:49.720
<v Speaker 3>having him report every day. It's just a completely different environment.

0:18:56.119 --> 0:18:59.879
<v Speaker 1>After the break the people fighting back against the ICE

0:19:00.200 --> 0:19:10.639
<v Speaker 1>surveillance state stay with us. There is also resistance tech.

0:19:11.320 --> 0:19:14.360
<v Speaker 1>I'm very curious to hear about ice block. I mean,

0:19:14.720 --> 0:19:18.040
<v Speaker 1>our producer Eliza made an interesting point that, you know,

0:19:18.080 --> 0:19:22.480
<v Speaker 1>after the California fires, there was this great interest in

0:19:22.920 --> 0:19:26.680
<v Speaker 1>funding fire watching apps and early warning systems, and there's

0:19:26.680 --> 0:19:31.400
<v Speaker 1>also an explosion of apps around helping communities avoid ice

0:19:31.480 --> 0:19:34.199
<v Speaker 1>round apps and stuff that it will be fair, they

0:19:34.200 --> 0:19:37.159
<v Speaker 1>didn't receive the same funding attention. Talk a little bit

0:19:37.160 --> 0:19:40.760
<v Speaker 1>about these apps and the resistance to them.

0:19:41.320 --> 0:19:44.399
<v Speaker 3>Yeah, so ice block is the most prominent one. It

0:19:44.440 --> 0:19:47.399
<v Speaker 3>was launched earlier this year. People only really started to

0:19:47.440 --> 0:19:51.240
<v Speaker 3>pay attention in around June when CNN covered the app.

0:19:51.680 --> 0:19:54.800
<v Speaker 3>And all ice block does is it allows people to

0:19:54.960 --> 0:19:58.680
<v Speaker 3>report sightings of ICE officials in their local proximity. It

0:19:58.800 --> 0:20:02.040
<v Speaker 3>uses the location data off your iPhone. It was only

0:20:02.119 --> 0:20:04.800
<v Speaker 3>on iPhone. It wasn't on Android for privacy reasons, is

0:20:04.840 --> 0:20:07.920
<v Speaker 3>what the developer told me. And if you see an

0:20:07.920 --> 0:20:10.280
<v Speaker 3>ICE official or some sort of ICE raid within five

0:20:10.320 --> 0:20:12.720
<v Speaker 3>miles of you or whatever, you can report it and

0:20:12.760 --> 0:20:16.240
<v Speaker 3>then other people around the area will receive a push alert.

0:20:16.280 --> 0:20:22.080
<v Speaker 3>It's rarely similar to ring the neighborhood app or even

0:20:22.320 --> 0:20:24.520
<v Speaker 3>a citizen or something like that. All the fire watching

0:20:24.560 --> 0:20:28.320
<v Speaker 3>apps you mentioned as well. Time goes on. The DOJ

0:20:28.480 --> 0:20:31.520
<v Speaker 3>does not like that CNN has reported this and amplified it.

0:20:31.840 --> 0:20:34.400
<v Speaker 3>The DOJ even says it's trying to find a way

0:20:34.440 --> 0:20:37.600
<v Speaker 3>to charge CNN. Obviously that didn't come to anything at

0:20:37.680 --> 0:20:41.080
<v Speaker 3>least yet. But fast forward to September and there is

0:20:41.160 --> 0:20:44.440
<v Speaker 3>a horrible shooting at an ICE facility where a gunman

0:20:44.840 --> 0:20:48.600
<v Speaker 3>shoots at the facility and he hits free detainees. I

0:20:48.640 --> 0:20:53.000
<v Speaker 3>believe two died and one survived. When authorities looking to

0:20:53.040 --> 0:20:56.520
<v Speaker 3>that person, they look at his phone and they find

0:20:56.520 --> 0:21:01.400
<v Speaker 3>that that person was searching for ice spotting apps explicitly

0:21:01.840 --> 0:21:06.320
<v Speaker 3>ice block. The DOJ and Pambondi, the Attorney General then

0:21:06.520 --> 0:21:10.200
<v Speaker 3>uses that as a justification to go to Apple and say, look,

0:21:10.240 --> 0:21:13.600
<v Speaker 3>you have to remove this app. This is encouraging violence

0:21:14.040 --> 0:21:17.640
<v Speaker 3>against ICE officials. Putting aside the fact that obviously ICE

0:21:17.640 --> 0:21:19.360
<v Speaker 3>officials are going to be an ICE facility, I don't

0:21:19.359 --> 0:21:22.520
<v Speaker 3>think you need an app to determine that. But Apple

0:21:22.880 --> 0:21:26.040
<v Speaker 3>gives in and it removes not just that app, but

0:21:26.080 --> 0:21:29.520
<v Speaker 3>a host of other ones at the explicit request of

0:21:29.960 --> 0:21:32.919
<v Speaker 3>the US Department of Justice. Now Apple removes and Google

0:21:32.920 --> 0:21:36.879
<v Speaker 3>removes apps every single day for doing sketchy or weird

0:21:36.960 --> 0:21:42.359
<v Speaker 3>or misleading stuff. It is an entirely different thing for

0:21:42.400 --> 0:21:45.520
<v Speaker 3>the US government to go and say remove this app,

0:21:45.760 --> 0:21:49.680
<v Speaker 3>especially when that app was actually facilitating First Amendment protected

0:21:49.720 --> 0:21:52.879
<v Speaker 3>speech as well. This is not illegal to report where

0:21:53.359 --> 0:21:56.160
<v Speaker 3>law enforcement are. That's a core tenant of the First Amendment.

0:21:56.880 --> 0:21:58.560
<v Speaker 1>Yeah, it's kind of extraordinary. I want to help people

0:21:58.680 --> 0:22:03.679
<v Speaker 1>look back on this time. I mean, obviously, people who

0:22:03.720 --> 0:22:07.160
<v Speaker 1>are rich and powerful like getting richer and more powerful.

0:22:07.280 --> 0:22:12.880
<v Speaker 1>But the capitulation every step of the way of private companies,

0:22:13.240 --> 0:22:18.400
<v Speaker 1>especially tech companies, to these requests and mandates, it's quite extraordinary.

0:22:18.440 --> 0:22:22.000
<v Speaker 1>I wonder how it will be judged by history.

0:22:22.760 --> 0:22:25.720
<v Speaker 3>Yeah. I remember in the first Trump administration, I feel

0:22:25.720 --> 0:22:29.800
<v Speaker 3>like there was so much more pushback from tech companies,

0:22:29.880 --> 0:22:32.600
<v Speaker 3>you know, even surveillance companies as well. I think Amazon

0:22:32.680 --> 0:22:37.600
<v Speaker 3>stopped selling its facial recognition technology to law enforcement agencies

0:22:37.600 --> 0:22:41.080
<v Speaker 3>for a period of time as well. That has completely

0:22:41.160 --> 0:22:45.200
<v Speaker 3>gone Now. It is absolute capitulation to the government. It

0:22:45.320 --> 0:22:48.720
<v Speaker 3>is doing whatever they want. It is not really pushing back.

0:22:48.760 --> 0:22:51.120
<v Speaker 3>I mean Apple removes that app. You know, a few

0:22:51.119 --> 0:22:53.399
<v Speaker 3>weeks earlier or whatever it was, Tim Cook was giving

0:22:53.680 --> 0:22:57.680
<v Speaker 3>Trump a golden statue of the Apple logo or whatever.

0:22:58.080 --> 0:23:02.080
<v Speaker 3>Another example is that DHS right now is using a

0:23:02.080 --> 0:23:05.880
<v Speaker 3>lot of memes from the Halo video game franchise which

0:23:05.920 --> 0:23:11.359
<v Speaker 3>are dehumanizing immigrants and basically comparing them to like an

0:23:11.400 --> 0:23:15.840
<v Speaker 3>alien parasite. Microsoft hasn't responded to that. Microsoft hasn't, you know,

0:23:16.480 --> 0:23:19.240
<v Speaker 3>asked them to take it down. It's an entirely different

0:23:19.320 --> 0:23:22.520
<v Speaker 3>environment now than it was in the first Trump administration

0:23:22.560 --> 0:23:25.360
<v Speaker 3>where it comes to tech and even just business right

0:23:25.480 --> 0:23:26.840
<v Speaker 3>and private companies.

0:23:27.480 --> 0:23:30.360
<v Speaker 1>So who's fighting back? I mean, there's Joshua Aaron who

0:23:30.480 --> 0:23:33.560
<v Speaker 1>founded the ice block app. Where is their resistance to this?

0:23:33.640 --> 0:23:36.320
<v Speaker 1>And also what the normal people do in their daily

0:23:36.359 --> 0:23:39.600
<v Speaker 1>lives to protect themselves from the reach of some of

0:23:39.600 --> 0:23:41.920
<v Speaker 1>these technologies and keep themselves safe.

0:23:42.240 --> 0:23:44.400
<v Speaker 3>Yeah, I mean there's a lot of different things people

0:23:44.440 --> 0:23:47.680
<v Speaker 3>are doing. There are other apps similar to ice Block.

0:23:47.760 --> 0:23:50.680
<v Speaker 3>There was one called eyes up. There was just cataloging

0:23:51.280 --> 0:23:54.280
<v Speaker 3>videos of ice abuses. I wasn't even tracking the physical

0:23:54.320 --> 0:23:58.200
<v Speaker 3>location of people. That developer who he only gave me

0:23:58.359 --> 0:24:01.679
<v Speaker 3>his first name, Mark, but he's doing work in his

0:24:01.720 --> 0:24:02.080
<v Speaker 3>own way.

0:24:02.080 --> 0:24:02.359
<v Speaker 2>There.

0:24:02.560 --> 0:24:05.440
<v Speaker 3>You even have states like New York State is basically

0:24:05.440 --> 0:24:07.919
<v Speaker 3>building it's equivalent of that, which is, hey, if you

0:24:08.040 --> 0:24:12.600
<v Speaker 3>have videos of abuses by ICE, send them to us,

0:24:12.840 --> 0:24:15.960
<v Speaker 3>Like there will be consequences for this later. So people

0:24:16.040 --> 0:24:19.000
<v Speaker 3>right now are thinking about, well, how do we collect

0:24:19.080 --> 0:24:24.000
<v Speaker 3>evidence for accountability later? Like it can't happen now. There's

0:24:24.080 --> 0:24:26.920
<v Speaker 3>no real way to hold a ICE agent who maybe

0:24:27.000 --> 0:24:30.719
<v Speaker 3>detains a US citizen unlawfully to account because they're masks,

0:24:30.760 --> 0:24:33.600
<v Speaker 3>and there's this complete culture of we're just going to

0:24:33.640 --> 0:24:36.119
<v Speaker 3>do whatever we want. But people are preparing for that.

0:24:36.440 --> 0:24:38.119
<v Speaker 3>As for the second part of your questions and what

0:24:38.160 --> 0:24:41.199
<v Speaker 3>people can do to protect their privacy, I mean, it

0:24:41.240 --> 0:24:45.280
<v Speaker 3>really depends on the technology, but I would sort of

0:24:45.280 --> 0:24:47.119
<v Speaker 3>suggest some of the normal stuff when it comes to

0:24:47.160 --> 0:24:50.560
<v Speaker 3>tracking mobile phones, which is, keep the phone fully up

0:24:50.560 --> 0:24:56.360
<v Speaker 3>to date, uninstall sketchy apps, don't give location permissions. Of course,

0:24:56.440 --> 0:24:58.600
<v Speaker 3>there's lots more you could do, and it's going to

0:24:58.640 --> 0:25:01.040
<v Speaker 3>depend upon your individe your use case. So you a

0:25:01.160 --> 0:25:04.640
<v Speaker 3>lawyer defending immigrants, so you're a journalist, are you an

0:25:04.640 --> 0:25:07.800
<v Speaker 3>activists whatever? So people should do their own research. But

0:25:07.920 --> 0:25:10.480
<v Speaker 3>there are things that people can do if they think

0:25:10.480 --> 0:25:11.119
<v Speaker 3>it's appropriate.

0:25:13.480 --> 0:25:15.200
<v Speaker 1>Joseph thank you, Thank you so much.

0:25:41.760 --> 0:25:43.560
<v Speaker 2>That's it for this week for tech Stuff.

0:25:43.560 --> 0:25:46.439
<v Speaker 1>I'm Cara Price and I'm os Vlocian. This episode was

0:25:46.440 --> 0:25:50.320
<v Speaker 1>produced by Eliza Dennis, Tyler Hill and Melissa Slaughter. It

0:25:50.400 --> 0:25:53.720
<v Speaker 1>was executive produced by me Cara Price, Julia Nutter, and

0:25:53.800 --> 0:25:57.920
<v Speaker 1>Kate Osborne for Kaleidisco and Katrina nor velve iHeart Podcasts.

0:25:58.640 --> 0:26:02.400
<v Speaker 1>Jack Insley mixed this up. Kyle Murdoch wrote our theme song.

0:26:02.720 --> 0:26:04.920
<v Speaker 2>Join us on Friday for the Week in Tech, where

0:26:04.960 --> 0:26:06.560
<v Speaker 2>we'll run through the headlines.

0:26:06.119 --> 0:26:08.879
<v Speaker 1>You need to follow, and please do rate and review

0:26:08.920 --> 0:26:11.240
<v Speaker 1>the show and reach out to us at tech Stuff

0:26:11.280 --> 0:26:14.160
<v Speaker 1>podcast at gmail dot com. We want to hear from you.