1 00:00:04,160 --> 00:00:05,280 Speaker 1: There Are No Girls on the Internet. 2 00:00:05,320 --> 00:00:12,680 Speaker 2: As a production of iHeartRadio and Unbossed Creative, I'm Bridge 3 00:00:12,760 --> 00:00:16,240 Speaker 2: Tad and this is there are No Girls on the Internet. 4 00:00:17,800 --> 00:00:19,639 Speaker 2: So I wanted to do a little bit of a 5 00:00:19,680 --> 00:00:22,279 Speaker 2: deeper dive update on a story that we talked about 6 00:00:22,360 --> 00:00:26,640 Speaker 2: in last week's news roundup those awful AI faked images 7 00:00:26,680 --> 00:00:29,680 Speaker 2: of Taylor Swift that were flooding social media last week, 8 00:00:29,920 --> 00:00:32,479 Speaker 2: and just generally get into some of the discourse happening 9 00:00:32,520 --> 00:00:35,400 Speaker 2: around Taylor Swift online because I think it's really telling. 10 00:00:35,800 --> 00:00:37,680 Speaker 2: So we've talked about it on the show before. But 11 00:00:38,080 --> 00:00:43,120 Speaker 2: deep fakes are non consensual AI generated sexually explicit images, 12 00:00:43,400 --> 00:00:46,960 Speaker 2: and they are a growing problem. According to research from 13 00:00:46,960 --> 00:00:51,000 Speaker 2: independent analyst Genevieve O, the number of new pornographic deep 14 00:00:51,040 --> 00:00:55,120 Speaker 2: fake videos has already surged more than ninefold since twenty twenty. 15 00:00:55,440 --> 00:00:57,960 Speaker 2: At the end of last year, the top ten sites 16 00:00:58,000 --> 00:01:01,360 Speaker 2: offering this AI generated deep fake cut hosted more than 17 00:01:01,400 --> 00:01:05,040 Speaker 2: one hundred and fourteen thousand videos, and Tara Swift has 18 00:01:05,120 --> 00:01:08,080 Speaker 2: always been a common target. In fact, on one of 19 00:01:08,120 --> 00:01:11,520 Speaker 2: these AI platforms, she was the first celebrity targeted for 20 00:01:11,640 --> 00:01:15,400 Speaker 2: deep faked AI images. And the reality is this is 21 00:01:15,440 --> 00:01:18,600 Speaker 2: a gender justice issue. It's an issue that impacts women. 22 00:01:18,959 --> 00:01:21,760 Speaker 2: According to a study from deep Trace Labs, ninety six 23 00:01:21,800 --> 00:01:26,120 Speaker 2: percent of deep fakes are non consensual sexual depictions of women. 24 00:01:26,800 --> 00:01:29,720 Speaker 2: So we're calling these images deep fakes, which is not wrong. 25 00:01:29,959 --> 00:01:32,920 Speaker 2: But one technical thing that is important to understand about 26 00:01:32,959 --> 00:01:35,160 Speaker 2: them is that we used to use the term deep 27 00:01:35,200 --> 00:01:39,360 Speaker 2: fakes to describe content where someone's head or was put 28 00:01:39,400 --> 00:01:42,480 Speaker 2: on another person's body to give the impression that that 29 00:01:42,680 --> 00:01:46,360 Speaker 2: person is nude or doing something sexual explicit. These terror 30 00:01:46,400 --> 00:01:49,120 Speaker 2: Swift deep fakes are different in that they were created 31 00:01:49,320 --> 00:01:53,440 Speaker 2: out of whole cloth using commercial AI tools. The images 32 00:01:53,520 --> 00:01:57,280 Speaker 2: originated on the alternative messaging platform Telegram, then made their 33 00:01:57,280 --> 00:02:00,800 Speaker 2: way to fourtune. This Telegram group was actually kind of 34 00:02:00,840 --> 00:02:04,520 Speaker 2: a marketplace for celebrity deep fakes, where users were requesting 35 00:02:04,560 --> 00:02:09,200 Speaker 2: and trading deep faked images of specific celebrities since last year. Now, 36 00:02:09,400 --> 00:02:13,760 Speaker 2: most commercial AI image generators do have some safeguards in 37 00:02:13,800 --> 00:02:16,160 Speaker 2: place that are meant to prevent abuse. So if you 38 00:02:16,240 --> 00:02:19,799 Speaker 2: ask AI to generate an image that depicts a sexualized 39 00:02:19,800 --> 00:02:22,200 Speaker 2: image of a child, for instance, it is not supposed 40 00:02:22,200 --> 00:02:25,280 Speaker 2: to do that, but people are able to circumvent the 41 00:02:25,320 --> 00:02:28,560 Speaker 2: moderation to generate non consensual deep fake images like the 42 00:02:28,600 --> 00:02:31,800 Speaker 2: ones we saw Taylor Swift pretty easily. I have to 43 00:02:31,800 --> 00:02:34,240 Speaker 2: give a major shout out to four h four media 44 00:02:34,360 --> 00:02:37,200 Speaker 2: right here because they did a great job of digging 45 00:02:37,520 --> 00:02:40,400 Speaker 2: and found that those images of Taylor Swift were likely 46 00:02:40,440 --> 00:02:45,000 Speaker 2: made on Microsoft's AI creation tool called Designer, So Designer 47 00:02:45,200 --> 00:02:48,359 Speaker 2: does have some safeguards in place to prevent the platform 48 00:02:48,400 --> 00:02:51,680 Speaker 2: from being used to create this kind of content of celebrities. However, 49 00:02:52,200 --> 00:02:54,360 Speaker 2: four for media ran a couple of tests and found 50 00:02:54,360 --> 00:02:56,600 Speaker 2: that Designer will not generate an image if you just 51 00:02:56,639 --> 00:03:00,480 Speaker 2: put Jennifer Aniston, but they were able to generate suggestive 52 00:03:00,520 --> 00:03:03,919 Speaker 2: images of Jennifer Aniston if you use the phrase Jennifer 53 00:03:04,040 --> 00:03:06,959 Speaker 2: actor Aniston. So just put actor in between Jennifer and 54 00:03:07,000 --> 00:03:11,000 Speaker 2: Aniston and boom, non consensual deep fakes. So, prior to 55 00:03:11,040 --> 00:03:14,000 Speaker 2: these deep fake images of Taylor Swift going viral on Twitter, 56 00:03:14,280 --> 00:03:17,680 Speaker 2: a user in that telegram group recommended that members who 57 00:03:17,680 --> 00:03:20,480 Speaker 2: were trying to make sexual explicit images of Taylor Swift 58 00:03:21,040 --> 00:03:24,520 Speaker 2: use the phrase Taylor singer Swift instead of just Taylor 59 00:03:24,560 --> 00:03:28,320 Speaker 2: Swift to generate those images. Basically, anyone can get around 60 00:03:28,360 --> 00:03:32,120 Speaker 2: these guardrails pretty easily. They're full of loopholes, and to 61 00:03:32,120 --> 00:03:34,800 Speaker 2: get deep fakes of celebrities engaging in what looks like 62 00:03:34,920 --> 00:03:38,240 Speaker 2: sex acts, all people needed to do was describe activities 63 00:03:38,240 --> 00:03:41,240 Speaker 2: that kind of look like sex ax without using sexual 64 00:03:41,320 --> 00:03:45,520 Speaker 2: explicit terms. Now, none of this is terribly surprising. It's 65 00:03:45,520 --> 00:03:47,560 Speaker 2: the kind of thing that people have been warning is 66 00:03:47,600 --> 00:03:50,480 Speaker 2: really easy to do with AI for a long time. 67 00:03:50,840 --> 00:03:54,000 Speaker 2: I cannot stress how much for for Media stayed on 68 00:03:54,120 --> 00:03:56,200 Speaker 2: Microsoft's neck on this story. 69 00:03:56,600 --> 00:03:57,000 Speaker 1: At first. 70 00:03:57,080 --> 00:03:59,560 Speaker 2: Microsoft was kind of trying to weasel out of this 71 00:03:59,600 --> 00:04:02,520 Speaker 2: and deny that their platform was being used to create 72 00:04:02,520 --> 00:04:05,240 Speaker 2: these images and that their platform is where these tailor 73 00:04:05,320 --> 00:04:09,000 Speaker 2: Swift images originated. They initially said we are investigating these 74 00:04:09,000 --> 00:04:12,080 Speaker 2: reports and are taking appropriate action to address them. Our 75 00:04:12,120 --> 00:04:14,320 Speaker 2: code of conduct prohibits the use of our tools for 76 00:04:14,360 --> 00:04:17,320 Speaker 2: the creation of adult or non consensual intimate content, and 77 00:04:17,400 --> 00:04:20,040 Speaker 2: any repeated attempts to produce content that goes against our 78 00:04:20,080 --> 00:04:22,880 Speaker 2: policies may result in a loss of access to the surface. 79 00:04:23,240 --> 00:04:25,760 Speaker 2: We have large teams working on the development of guardrails 80 00:04:25,760 --> 00:04:28,800 Speaker 2: and other safety systems in line with our responsible AI principles, 81 00:04:28,880 --> 00:04:32,920 Speaker 2: including content filtering, operational monitoring, and abuse detection to mitigate 82 00:04:33,000 --> 00:04:36,440 Speaker 2: misuse of systems and help create a safer environment for users. 83 00:04:36,680 --> 00:04:39,680 Speaker 2: So after that, Microsoft said they did an investigation, but 84 00:04:39,720 --> 00:04:42,360 Speaker 2: they were unable to confirm the images were made using 85 00:04:42,400 --> 00:04:47,880 Speaker 2: their tool. But after Form fours reporting, Microsoft did close 86 00:04:47,920 --> 00:04:49,839 Speaker 2: loopholes that would have allowed for these images to be 87 00:04:49,880 --> 00:04:52,440 Speaker 2: created for and four Media was able to verify that 88 00:04:52,480 --> 00:04:55,719 Speaker 2: those loopholes did work to create these kinds of images 89 00:04:55,760 --> 00:04:59,360 Speaker 2: on Thursday before Microsoft made its changes, and that those 90 00:04:59,360 --> 00:05:02,560 Speaker 2: loopholes stopped working after four or four Media published an 91 00:05:02,640 --> 00:05:05,080 Speaker 2: article on it. So it just really does seem like 92 00:05:05,240 --> 00:05:08,440 Speaker 2: Microsoft was the culprit, and it's a really important reminder 93 00:05:08,520 --> 00:05:11,600 Speaker 2: of the importance of good journalism to keep people accountable 94 00:05:11,640 --> 00:05:13,520 Speaker 2: for the harms that their technology causes. 95 00:05:13,400 --> 00:05:15,599 Speaker 1: Because it would have been really easy. 96 00:05:15,320 --> 00:05:18,360 Speaker 2: For Microsoft to just keep denying that they were responsible 97 00:05:18,360 --> 00:05:21,520 Speaker 2: for these images and just quietly close that loophole that 98 00:05:21,640 --> 00:05:24,480 Speaker 2: allowed for images like the ones of Taylor Swift to 99 00:05:24,480 --> 00:05:27,560 Speaker 2: be made on their platform. After this change, users on 100 00:05:27,600 --> 00:05:30,720 Speaker 2: Telegram were complaining that it seemed like the loophole had 101 00:05:30,760 --> 00:05:33,120 Speaker 2: been fixed that allowed for them to make these celebrity 102 00:05:33,160 --> 00:05:37,000 Speaker 2: deep thinks. But unfortunately that Telegram group where people were 103 00:05:37,120 --> 00:05:41,120 Speaker 2: requesting and trading non consensual deep bake images of celebrities 104 00:05:41,400 --> 00:05:45,200 Speaker 2: is still active because Telegram does not really remove people 105 00:05:45,240 --> 00:05:47,159 Speaker 2: who use their platform to do this kind of thing, 106 00:05:47,440 --> 00:05:51,000 Speaker 2: and people on that platform are already talking about what 107 00:05:51,040 --> 00:05:54,760 Speaker 2: AI tools they're going to use to continue creating non 108 00:05:54,760 --> 00:05:58,120 Speaker 2: consensual deep stak porn of celebrities in the future since 109 00:05:58,200 --> 00:06:01,280 Speaker 2: Microsoft closed the loophole that allowed them to use their platform, 110 00:06:01,800 --> 00:06:03,960 Speaker 2: so they're just going to keep doing this and it 111 00:06:04,040 --> 00:06:07,000 Speaker 2: is shockingly easy for them to keep doing so. These 112 00:06:07,040 --> 00:06:09,599 Speaker 2: tailor Swift images had been on Telegram and four Chan 113 00:06:09,720 --> 00:06:12,960 Speaker 2: for a while, but one specific user who subscribes to 114 00:06:12,960 --> 00:06:15,880 Speaker 2: Twitter blue so has a verified check mark and likely 115 00:06:15,920 --> 00:06:19,560 Speaker 2: has their content algorithmically boosted on Twitter, brought them over 116 00:06:19,600 --> 00:06:23,360 Speaker 2: to Twitter. It took Twitter seventeen hours to suspend that 117 00:06:23,480 --> 00:06:28,320 Speaker 2: user and delete that user's posts with the tailor Swift images. However, 118 00:06:28,720 --> 00:06:31,960 Speaker 2: because of the way the internet works, those images were 119 00:06:32,040 --> 00:06:35,839 Speaker 2: still all over Twitter. Like, just suspending that one user 120 00:06:36,040 --> 00:06:37,680 Speaker 2: does not mean all those images are going to go 121 00:06:37,720 --> 00:06:40,480 Speaker 2: away to So the way that Twitter handled this whole 122 00:06:40,520 --> 00:06:44,400 Speaker 2: thing I think is just abysmal and also really telling. First, 123 00:06:44,480 --> 00:06:47,360 Speaker 2: I guess because those images were really all over Twitter, 124 00:06:47,720 --> 00:06:50,520 Speaker 2: they just tried to fix it by blocking people from 125 00:06:50,560 --> 00:06:54,560 Speaker 2: being able to search Taylor Swift temporarily. Joe Benerach, head 126 00:06:54,560 --> 00:06:57,520 Speaker 2: of Business Operations at Twitter, said, this is a temporary 127 00:06:57,560 --> 00:06:59,640 Speaker 2: action and done with an abundance of caution, as we 128 00:06:59,680 --> 00:07:03,200 Speaker 2: prayor or tie safety on this issue. But because it's Twitter, 129 00:07:03,680 --> 00:07:07,680 Speaker 2: this was actually super easily circumvented. Attempts to search for 130 00:07:07,720 --> 00:07:11,280 Speaker 2: Taylor Swift's name without quotation marks on Twitter on Monday 131 00:07:11,480 --> 00:07:14,280 Speaker 2: resulted in an error message prompting for users to reach 132 00:07:14,320 --> 00:07:16,800 Speaker 2: by their search, which added, don't fret, it's not your thought. 133 00:07:17,080 --> 00:07:17,960 Speaker 1: However, to get. 134 00:07:17,800 --> 00:07:19,840 Speaker 2: Around this, all you would have to do is put 135 00:07:19,920 --> 00:07:22,440 Speaker 2: quotation marks around her name and then you could search 136 00:07:22,440 --> 00:07:25,480 Speaker 2: her name like normal. So, even though this was not 137 00:07:25,720 --> 00:07:28,360 Speaker 2: a very effective way to deal with the issue, I 138 00:07:28,360 --> 00:07:30,920 Speaker 2: would still be taking issue with it had they been 139 00:07:30,960 --> 00:07:33,800 Speaker 2: able to successfully block Taylor Swift from search on Twitter, 140 00:07:34,160 --> 00:07:37,400 Speaker 2: because why should the target of this kind of sexual 141 00:07:37,480 --> 00:07:41,520 Speaker 2: exploitation have to have their name blocked on social media search? Like, 142 00:07:41,600 --> 00:07:43,960 Speaker 2: what if this happened to somebody who is not famous? 143 00:07:44,360 --> 00:07:47,640 Speaker 2: You know, I'm thinking of content creators and journalists, people 144 00:07:47,720 --> 00:07:49,560 Speaker 2: who need to be able to show up on those 145 00:07:49,600 --> 00:07:52,960 Speaker 2: platforms for their careers. It's basically like saying that when 146 00:07:52,960 --> 00:07:55,400 Speaker 2: you are targeted for this kind of thing, the only 147 00:07:55,440 --> 00:07:57,360 Speaker 2: way to keep you safe in these online. 148 00:07:57,040 --> 00:07:59,720 Speaker 1: Spaces is to obscure your presence. 149 00:07:59,280 --> 00:08:02,720 Speaker 2: There, which I take issue with because participation in online 150 00:08:02,720 --> 00:08:06,040 Speaker 2: platforms is increasingly linked to help people just show up 151 00:08:06,040 --> 00:08:08,800 Speaker 2: in twenty twenty four socially, politically. 152 00:08:08,280 --> 00:08:08,920 Speaker 1: And civically. 153 00:08:09,120 --> 00:08:11,880 Speaker 2: So if the response to this is to make targeted people, 154 00:08:12,120 --> 00:08:15,080 Speaker 2: most of whom are women, show up less in those spaces, 155 00:08:15,440 --> 00:08:18,640 Speaker 2: it means that they will be even more marginalized online, 156 00:08:18,720 --> 00:08:22,080 Speaker 2: a space where women are already marginalized. It just feels 157 00:08:22,080 --> 00:08:25,280 Speaker 2: like the fix is to further obscure and silence women's 158 00:08:25,320 --> 00:08:28,640 Speaker 2: voices in a space where we are already obscured and silenced. 159 00:08:28,640 --> 00:08:31,000 Speaker 2: And I don't think it's equitable, and I don't think 160 00:08:31,040 --> 00:08:32,920 Speaker 2: that part of the solution of how we deal with 161 00:08:32,960 --> 00:08:36,000 Speaker 2: this is to make us even more invisible on online spaces. 162 00:08:39,559 --> 00:08:52,240 Speaker 1: Let's take a quick break at our back. 163 00:08:54,520 --> 00:08:56,920 Speaker 2: Elon Musk said that Twitter was going to hire one 164 00:08:57,000 --> 00:09:00,480 Speaker 2: hundred full time staffers to do content moderation to combat 165 00:09:00,520 --> 00:09:03,320 Speaker 2: sexually abusive material on Twitter. He said that he would 166 00:09:03,360 --> 00:09:06,280 Speaker 2: be building a trust and safety center in Austin, Texas 167 00:09:06,600 --> 00:09:09,280 Speaker 2: and higher in house agents who will be tasked with 168 00:09:09,360 --> 00:09:13,320 Speaker 2: enforcing the sites content and safety rules. So I don't 169 00:09:13,320 --> 00:09:15,240 Speaker 2: even have time to get into how annoying this is 170 00:09:15,240 --> 00:09:19,240 Speaker 2: to me because basically, the very same teams that Elon 171 00:09:19,400 --> 00:09:21,760 Speaker 2: fired right after he took over at Twitter in twenty 172 00:09:21,800 --> 00:09:25,079 Speaker 2: twenty two, He's being like, oh, whoops, actually we needed 173 00:09:25,080 --> 00:09:25,520 Speaker 2: those teams. 174 00:09:25,600 --> 00:09:27,240 Speaker 1: Those teams actually did something important. 175 00:09:27,600 --> 00:09:29,720 Speaker 2: So Twitter released this whole thing this week about how 176 00:09:29,760 --> 00:09:33,880 Speaker 2: they were taking really seriously sexually exploitative content, particularly content 177 00:09:33,920 --> 00:09:36,920 Speaker 2: that involved children. And you might remember that, for whatever reason, 178 00:09:36,920 --> 00:09:40,360 Speaker 2: a while back, Elon Musk made combating child sexual abuse 179 00:09:40,400 --> 00:09:42,640 Speaker 2: material like his thing unless he started talking about it 180 00:09:42,640 --> 00:09:46,080 Speaker 2: and grandstanding about how much work he did to fight it. However, 181 00:09:46,559 --> 00:09:49,280 Speaker 2: Wired reported that back in twenty twenty two, when he 182 00:09:49,320 --> 00:09:51,960 Speaker 2: took over at Twitter, even though he said that removing 183 00:09:52,080 --> 00:09:55,920 Speaker 2: child exploitation was his quote number one priority, after all 184 00:09:55,960 --> 00:10:00,640 Speaker 2: the firings and resignations, just one sole staff member remained 185 00:10:00,640 --> 00:10:03,760 Speaker 2: on a key team dedicated to removing child sexual abuse 186 00:10:03,800 --> 00:10:08,040 Speaker 2: content from Twitter. And remember, he also reinstated the account 187 00:10:08,080 --> 00:10:12,080 Speaker 2: of a right wing provocateur who posted child exploitation material 188 00:10:12,160 --> 00:10:15,400 Speaker 2: on Twitter, and they explained that decision to reinstate his 189 00:10:15,400 --> 00:10:19,040 Speaker 2: account by saying, well, if abusive sexual child content is 190 00:10:19,080 --> 00:10:23,120 Speaker 2: posted on Twitter to express outrage, then it's okay. Basically, 191 00:10:23,120 --> 00:10:25,280 Speaker 2: what I'm saying is that what Elon Musk says he 192 00:10:25,320 --> 00:10:28,200 Speaker 2: cares about doing and what he actually does in practice are. 193 00:10:28,080 --> 00:10:29,200 Speaker 1: Two different things. 194 00:10:29,679 --> 00:10:32,240 Speaker 2: You know, it was his choice to gut the trust 195 00:10:32,240 --> 00:10:34,600 Speaker 2: and safety team and content moderation teams when he took 196 00:10:34,600 --> 00:10:38,400 Speaker 2: over at Twitter. So now, in classic Elon form, he's 197 00:10:38,480 --> 00:10:41,600 Speaker 2: backtracking on that great, big mistake. This is actually a 198 00:10:41,600 --> 00:10:44,240 Speaker 2: pattern for Elon Musk. It's like he comes in, gets 199 00:10:44,320 --> 00:10:46,760 Speaker 2: rid of everything that people know that you need to 200 00:10:46,800 --> 00:10:50,040 Speaker 2: make a platform work, realizes, oh crap, turns out there 201 00:10:50,080 --> 00:10:52,160 Speaker 2: was a reason for having that and we actually need it, 202 00:10:52,200 --> 00:10:54,880 Speaker 2: reinstates it, and then I guess just like stands back 203 00:10:54,920 --> 00:10:57,640 Speaker 2: and calls that innovation. When he first took over at Twitter, 204 00:10:57,720 --> 00:11:00,760 Speaker 2: he immediately let people who had been previously spended for 205 00:11:01,040 --> 00:11:04,920 Speaker 2: abusive content or hate speech back on the platform, people 206 00:11:05,080 --> 00:11:08,679 Speaker 2: like Kanye West, who Elon Musk then had to resuspend 207 00:11:09,000 --> 00:11:11,559 Speaker 2: after Kanye West tweeted out of swastika. 208 00:11:11,720 --> 00:11:13,600 Speaker 1: So this is just what Elon Musk does. 209 00:11:14,200 --> 00:11:18,080 Speaker 2: I just can't believe he would announce creating content moderation 210 00:11:18,240 --> 00:11:21,520 Speaker 2: teams and trust in safety teams, like it's some new 211 00:11:21,800 --> 00:11:24,360 Speaker 2: innovation that he has come up with as opposed to 212 00:11:24,440 --> 00:11:27,080 Speaker 2: something that was already in place at Twitter that he 213 00:11:27,280 --> 00:11:30,079 Speaker 2: got rid of and now is reinstating. And it's funny 214 00:11:30,080 --> 00:11:32,280 Speaker 2: because I was talking to producer Mike about this, and 215 00:11:32,320 --> 00:11:34,400 Speaker 2: he made a very good point, which is that all 216 00:11:34,440 --> 00:11:37,240 Speaker 2: of this assumes that Elon will actually follow his word 217 00:11:37,520 --> 00:11:39,320 Speaker 2: and do the thing that he says he's going to do. 218 00:11:39,400 --> 00:11:43,040 Speaker 2: So will he actually create this content moderation team, will 219 00:11:43,080 --> 00:11:46,720 Speaker 2: he actually create a trust and safety team? Who knows? 220 00:11:46,760 --> 00:11:50,080 Speaker 2: Because Elon has such a poor track record of actually 221 00:11:50,280 --> 00:11:52,240 Speaker 2: doing the things he promises to do. 222 00:11:52,760 --> 00:11:52,880 Speaker 1: So. 223 00:11:53,120 --> 00:11:56,280 Speaker 2: There's been this huge reaction about these Taylor Swift deep fakes, 224 00:11:56,280 --> 00:11:58,480 Speaker 2: and rightly so, but they are not the first time 225 00:11:58,520 --> 00:12:00,880 Speaker 2: this has happened. We've covered how this kind of thing 226 00:12:00,920 --> 00:12:03,280 Speaker 2: is happening at schools across the country in places like 227 00:12:03,320 --> 00:12:05,800 Speaker 2: New Jersey and Colorado, and how they've been dealing with 228 00:12:05,880 --> 00:12:10,080 Speaker 2: groups of male students essentially creating ai deep fake extortion 229 00:12:10,240 --> 00:12:13,439 Speaker 2: rings of the girls in their school, where the boys 230 00:12:13,480 --> 00:12:16,000 Speaker 2: in the school are invited to pay to see deep 231 00:12:16,040 --> 00:12:19,160 Speaker 2: fakes nude images of their classmates, and the girls are 232 00:12:19,240 --> 00:12:23,000 Speaker 2: basically forced into being extorted to pay money to avoid 233 00:12:23,040 --> 00:12:26,840 Speaker 2: their images being circulated. In New Jersey, high school student 234 00:12:26,960 --> 00:12:30,880 Speaker 2: Francesca Moni, a teenage victim of non consensual sexually explicit 235 00:12:30,960 --> 00:12:34,560 Speaker 2: deep fakes, joined Representative Joe Morel to tell her story 236 00:12:34,559 --> 00:12:36,680 Speaker 2: and advocate for legislation that would make this kind of 237 00:12:36,679 --> 00:12:40,680 Speaker 2: thing a crime. And teen marvelstar Social Gomez was targeted 238 00:12:40,720 --> 00:12:44,040 Speaker 2: with non consensual deep fakes earlier this year, and she 239 00:12:44,200 --> 00:12:48,520 Speaker 2: is only seventeen, a minor. It's really heartbreaking because she 240 00:12:48,679 --> 00:12:51,440 Speaker 2: says that Twitter pretty much did nothing to take these 241 00:12:51,480 --> 00:12:55,200 Speaker 2: images down, they did not respond to requests for comment 242 00:12:55,240 --> 00:12:57,080 Speaker 2: about it, and that she said in a podcast that 243 00:12:57,120 --> 00:13:00,600 Speaker 2: she basically had to make personal peace with the fact 244 00:13:00,640 --> 00:13:02,359 Speaker 2: that these deep faked images. 245 00:13:01,960 --> 00:13:02,880 Speaker 1: Of her are out there. 246 00:13:03,280 --> 00:13:07,360 Speaker 2: Like, imagine what we are asking young people, children minors 247 00:13:07,600 --> 00:13:11,079 Speaker 2: to make individual peace with because the powers that be 248 00:13:11,440 --> 00:13:14,280 Speaker 2: are not taking it seriously or doing anything to prevent 249 00:13:14,280 --> 00:13:16,559 Speaker 2: this kind of thing from happening or dealing with it 250 00:13:16,600 --> 00:13:17,400 Speaker 2: when it does happen. 251 00:13:17,920 --> 00:13:18,600 Speaker 1: And I do want to. 252 00:13:18,559 --> 00:13:21,080 Speaker 2: Say something else about Social Gomes. We've talked about this 253 00:13:21,120 --> 00:13:23,319 Speaker 2: a bit on the show before. But there does seem 254 00:13:23,360 --> 00:13:25,920 Speaker 2: to be some kind of a teared system of response 255 00:13:26,280 --> 00:13:30,040 Speaker 2: depending on how famous the target is, because certainly there 256 00:13:30,120 --> 00:13:33,200 Speaker 2: was not this kind of outcry for social gomes who 257 00:13:33,240 --> 00:13:36,160 Speaker 2: was targeted for AI deep think images before Taylor Swift. 258 00:13:36,559 --> 00:13:37,439 Speaker 1: We kind of saw. 259 00:13:37,280 --> 00:13:40,960 Speaker 2: Something similar under the earlier iteration of Twitter, where marginalized 260 00:13:40,960 --> 00:13:44,120 Speaker 2: people were speaking up about getting torrents of online harassments 261 00:13:44,160 --> 00:13:47,440 Speaker 2: and abuse, like black women activists were really open about 262 00:13:47,440 --> 00:13:50,520 Speaker 2: what they were experiencing. However, it took Saturday Night Live 263 00:13:50,600 --> 00:13:53,720 Speaker 2: actor Leslie Jones to speak up on Twitter when she 264 00:13:53,960 --> 00:13:57,199 Speaker 2: was facing a torrent of harassment after her Ghostbuster's remake 265 00:13:57,240 --> 00:14:00,480 Speaker 2: came out that Twitter took any meaningful steps to suspend 266 00:14:00,520 --> 00:14:02,920 Speaker 2: the accounts of people who were doing it. Then Twitter 267 00:14:03,000 --> 00:14:07,360 Speaker 2: CEO Jack Dorsey personally intervened to suspend those accounts, and 268 00:14:07,440 --> 00:14:09,960 Speaker 2: like replied to Leslie Jones saying that he was sorry. 269 00:14:09,760 --> 00:14:10,360 Speaker 1: That had happened. 270 00:14:10,600 --> 00:14:13,760 Speaker 2: But our teens who are not famous are already being 271 00:14:13,840 --> 00:14:16,599 Speaker 2: targeted for non consensual deep fake images. You know, you 272 00:14:16,640 --> 00:14:19,680 Speaker 2: shouldn't have to be Taylor Swift level of famous to 273 00:14:19,720 --> 00:14:22,520 Speaker 2: get people with power to take this seriously. When we 274 00:14:22,560 --> 00:14:25,400 Speaker 2: are all at risk now. The Taylor Swift deep fake 275 00:14:25,440 --> 00:14:28,800 Speaker 2: images on Twitter have triggered a response from the Biden administration. 276 00:14:29,160 --> 00:14:31,400 Speaker 2: At a White House press briefing, a reporter asked if 277 00:14:31,400 --> 00:14:35,560 Speaker 2: Biden supported legislation to ban AI generated porn images, and 278 00:14:35,640 --> 00:14:38,720 Speaker 2: White House Press Secretary Kareem Jean Pierre said, we are 279 00:14:38,760 --> 00:14:41,480 Speaker 2: alarmed by the reports of the circulation of false images. 280 00:14:41,640 --> 00:14:43,000 Speaker 2: We are going to do what we can to deal 281 00:14:43,000 --> 00:14:46,040 Speaker 2: with the issue. The Screen Actors Guild, the union that 282 00:14:46,120 --> 00:14:49,680 Speaker 2: represents performers in Hollywood, has spoken up to saying the 283 00:14:49,680 --> 00:14:53,480 Speaker 2: development and dissemination of fake images, especially those of lewd nature, 284 00:14:53,640 --> 00:14:55,920 Speaker 2: without someone's consent, must be made illegal. 285 00:14:56,120 --> 00:14:57,120 Speaker 1: As a society, we. 286 00:14:57,120 --> 00:14:59,360 Speaker 2: Have it in our power to control these technologies, but 287 00:14:59,400 --> 00:15:01,560 Speaker 2: we must act now before it is too late. The 288 00:15:01,560 --> 00:15:04,600 Speaker 2: way performers are depicted in AI without their consent has 289 00:15:04,640 --> 00:15:07,760 Speaker 2: been a major point of contention with actors' unions like SAG. 290 00:15:08,000 --> 00:15:11,560 Speaker 2: The union also supports broader legislation like the No AI 291 00:15:11,720 --> 00:15:14,360 Speaker 2: Frauds Act that would prohibit the use of AI to 292 00:15:14,440 --> 00:15:18,200 Speaker 2: distribute faked replicas of real people without their consent, regardless 293 00:15:18,240 --> 00:15:21,080 Speaker 2: of whether those images are sexually explicit or not. SAG 294 00:15:21,120 --> 00:15:24,160 Speaker 2: went on to say we support Taylor and women everywhere 295 00:15:24,160 --> 00:15:26,000 Speaker 2: who are the victims of this kind of theft of 296 00:15:26,040 --> 00:15:29,000 Speaker 2: their privacy and right to autonomy. So I do have 297 00:15:29,080 --> 00:15:33,120 Speaker 2: to add that there is something weird happening around Taylor 298 00:15:33,160 --> 00:15:35,640 Speaker 2: Swift right now, Like it does not surprise me that 299 00:15:35,680 --> 00:15:39,440 Speaker 2: these deep fakes were first circulated on Telegram and four Chan, 300 00:15:39,760 --> 00:15:44,280 Speaker 2: where far right extremists proliferate. So just yesterday, failed Republican 301 00:15:44,320 --> 00:15:49,560 Speaker 2: presidential candidate Viviak Ramaswami spewed some pretty wacky conspiracy theories 302 00:15:49,680 --> 00:15:53,320 Speaker 2: that Taylor Swift and her boyfriend NFL football player Travis 303 00:15:53,360 --> 00:15:57,280 Speaker 2: Kelchi were being like artificially culturally propped up by the 304 00:15:57,320 --> 00:16:00,920 Speaker 2: media for some kind of a democratic, I don't know, 305 00:16:01,000 --> 00:16:04,560 Speaker 2: psyop campaign. He tweeted, I wonder who's going to win 306 00:16:04,600 --> 00:16:06,880 Speaker 2: the Super Bowl next month, and I wonder if there's 307 00:16:06,920 --> 00:16:10,720 Speaker 2: a major presidential endorsement coming from an artificially culturally propped 308 00:16:10,760 --> 00:16:14,880 Speaker 2: up couple this fall. Taylor Swift's boyfriend plays for the Chiefs, 309 00:16:14,920 --> 00:16:16,920 Speaker 2: who just won the playoff game and are going. 310 00:16:16,800 --> 00:16:19,040 Speaker 1: To the super Bowl. And on Fox News this. 311 00:16:19,040 --> 00:16:23,400 Speaker 2: Week they called her boyfriend mister Pfizer because he promoted 312 00:16:23,440 --> 00:16:27,320 Speaker 2: vaccination to curb COVID. So something I've always found weird 313 00:16:27,320 --> 00:16:30,760 Speaker 2: about this is that Taylor Swift is not even super 314 00:16:31,200 --> 00:16:33,480 Speaker 2: publicly or explicitly that political. 315 00:16:33,800 --> 00:16:35,960 Speaker 1: Like she did endorse Biden in twenty twenty. 316 00:16:36,120 --> 00:16:38,360 Speaker 2: She's done a few political things here or there, but 317 00:16:38,440 --> 00:16:41,440 Speaker 2: she's not some like radical political figure. She didn't even 318 00:16:41,640 --> 00:16:44,400 Speaker 2: refer to herself as a feminist until pretty recently. So, like, 319 00:16:44,520 --> 00:16:47,760 Speaker 2: what gives my theory is that I think that Taylor 320 00:16:47,800 --> 00:16:51,080 Speaker 2: Swift represents the anxiety that the right has around young, 321 00:16:51,280 --> 00:16:52,360 Speaker 2: childless white women. 322 00:16:52,480 --> 00:16:52,880 Speaker 1: Right now. 323 00:16:53,200 --> 00:16:55,200 Speaker 2: We know that white women who are married to white 324 00:16:55,280 --> 00:16:58,920 Speaker 2: men tend to vote Republican demographically speaking, like they went 325 00:16:59,120 --> 00:17:02,000 Speaker 2: really hard for Trump, but that it's not so for 326 00:17:02,080 --> 00:17:04,600 Speaker 2: their unmarried white women counterparts. 327 00:17:04,880 --> 00:17:07,040 Speaker 1: And I think the Republican Party just. 328 00:17:07,000 --> 00:17:09,439 Speaker 2: Does not have a lot to offer these women, and 329 00:17:09,480 --> 00:17:12,000 Speaker 2: they know that, so instead of even trying to offer 330 00:17:12,040 --> 00:17:15,200 Speaker 2: them anything, they just lash out at Taylor Swift, who, 331 00:17:15,240 --> 00:17:18,840 Speaker 2: for whatever reason they have decided is representative of single, 332 00:17:19,000 --> 00:17:22,280 Speaker 2: unmarried white women because she is so visible and so powerful. 333 00:17:22,640 --> 00:17:25,000 Speaker 2: And I think that is what they really hate about 334 00:17:25,000 --> 00:17:27,800 Speaker 2: Taylor Swift. That is why she is a target, because 335 00:17:27,800 --> 00:17:31,040 Speaker 2: they hate her visibility. They hate that the cameras cut 336 00:17:31,080 --> 00:17:33,160 Speaker 2: to her at NFL games when she's in the stands 337 00:17:33,400 --> 00:17:36,280 Speaker 2: as if she controls the cameras. They hate that she 338 00:17:36,359 --> 00:17:39,080 Speaker 2: is not acting ashamed to be young and unmarried and 339 00:17:39,160 --> 00:17:42,359 Speaker 2: having fun and having power. So targeting her with deep 340 00:17:42,400 --> 00:17:45,240 Speaker 2: figs is a way to sexually humiliate and humble her, 341 00:17:45,560 --> 00:17:47,919 Speaker 2: to take away that power, and to remind her that 342 00:17:47,960 --> 00:17:50,080 Speaker 2: at the end of the day, we can still reduce 343 00:17:50,119 --> 00:17:52,919 Speaker 2: you to a sexualized object whenever we want, and we 344 00:17:53,000 --> 00:17:54,920 Speaker 2: have the tech to do it. And I remember when 345 00:17:54,920 --> 00:17:58,640 Speaker 2: the conversation was around celebrity images being hacked or stolen 346 00:17:58,680 --> 00:18:01,240 Speaker 2: and released to the public, people would say like, oh, well, 347 00:18:01,280 --> 00:18:03,160 Speaker 2: just don't take those kind of pictures if you don't 348 00:18:03,160 --> 00:18:05,879 Speaker 2: want other people to see them. But now that anyone 349 00:18:05,960 --> 00:18:09,360 Speaker 2: can be targeted for non consensual deep fake sexualized images, 350 00:18:09,720 --> 00:18:12,720 Speaker 2: what will the guidance be then, Like don't be too visible, 351 00:18:12,880 --> 00:18:15,840 Speaker 2: don't be annoying, don't be a leftist, don't be a woman, 352 00:18:16,000 --> 00:18:18,800 Speaker 2: don't exist. And I think that is really the question 353 00:18:18,880 --> 00:18:20,800 Speaker 2: we need to grapple with. Do we want to live 354 00:18:20,800 --> 00:18:24,159 Speaker 2: in a future where any woman, any girl, any person 355 00:18:24,240 --> 00:18:27,879 Speaker 2: can be reduced to a sexual object via commercially available 356 00:18:27,920 --> 00:18:32,800 Speaker 2: AI platforms that someone like Microsoft is making money off of. 357 00:18:33,440 --> 00:18:36,320 Speaker 2: I know it is grim and on the Patreon a 358 00:18:36,359 --> 00:18:39,399 Speaker 2: listener Sierra actually pointed something out that this is an 359 00:18:39,440 --> 00:18:41,840 Speaker 2: issue that is frustrating because it feels like there's not 360 00:18:41,920 --> 00:18:44,159 Speaker 2: a ton that we can do here in the United States. 361 00:18:44,200 --> 00:18:46,959 Speaker 2: We're sort of waiting and watching as lawmakers direct their 362 00:18:47,000 --> 00:18:49,400 Speaker 2: feet and kind of kick the can and pass the buck, 363 00:18:49,680 --> 00:18:53,040 Speaker 2: but there is still no federal legislation prohibiting someone from 364 00:18:53,040 --> 00:18:55,800 Speaker 2: making deep fake images. I would say that one thing 365 00:18:55,800 --> 00:18:58,000 Speaker 2: that we can all do right now is kind of cultural. 366 00:18:58,520 --> 00:19:00,600 Speaker 2: Really see this issue as one that an packs all 367 00:19:00,640 --> 00:19:03,160 Speaker 2: of us, one that impacts our democracy, one that will 368 00:19:03,200 --> 00:19:05,280 Speaker 2: dictate whether or not we are able to have an 369 00:19:05,320 --> 00:19:08,480 Speaker 2: equitable media and democratic landscape. And when you talk about 370 00:19:08,480 --> 00:19:11,320 Speaker 2: these issues, and please do talk about them, remember that 371 00:19:11,359 --> 00:19:14,200 Speaker 2: it is not just about tailor or social or any 372 00:19:14,240 --> 00:19:18,280 Speaker 2: one person. It's a systemic failure. If girls across the 373 00:19:18,320 --> 00:19:21,359 Speaker 2: globe are being threatened by deep fake technology, that is 374 00:19:21,440 --> 00:19:24,159 Speaker 2: not an individual problem. It is a systemic problem that 375 00:19:24,200 --> 00:19:27,119 Speaker 2: will take a systemic solution. I would also say to 376 00:19:27,200 --> 00:19:29,560 Speaker 2: make sure that you're following the women and women of 377 00:19:29,560 --> 00:19:32,399 Speaker 2: color who have been advocating for making AI safer for 378 00:19:32,480 --> 00:19:35,800 Speaker 2: a long time, Women like doctor Joe Bolomwini, who he 379 00:19:35,840 --> 00:19:38,360 Speaker 2: talked to on the podcast before, because she's been doing 380 00:19:38,400 --> 00:19:41,080 Speaker 2: a lot of work around challenging some of the existential 381 00:19:41,119 --> 00:19:44,000 Speaker 2: threats that AI poses to marginalize people for a long time. 382 00:19:44,440 --> 00:19:48,000 Speaker 2: Check out her advocacy organization, the Algorithmic Justice League. We'll 383 00:19:48,000 --> 00:19:50,160 Speaker 2: put all the links in the show notes and note 384 00:19:50,160 --> 00:19:53,440 Speaker 2: that there is movement on this because of the advocacy 385 00:19:53,480 --> 00:19:56,879 Speaker 2: of people like doctor Boulomwini. The Biden administration released an 386 00:19:56,880 --> 00:20:00,679 Speaker 2: executive order putting some guardrails on AI last year, and 387 00:20:00,800 --> 00:20:04,119 Speaker 2: lawmakers like Rep. Joe Morell and Rep. Evett Clark have 388 00:20:04,320 --> 00:20:09,000 Speaker 2: introduced legislation criminalizing deep thaks. That is because of advocacy, 389 00:20:09,040 --> 00:20:11,720 Speaker 2: and that is because of people speaking up, people using 390 00:20:11,760 --> 00:20:14,199 Speaker 2: their voices to say this is not okay. So we 391 00:20:14,240 --> 00:20:17,440 Speaker 2: need to educate ourselves, stay checked in, and keep making 392 00:20:17,440 --> 00:20:20,680 Speaker 2: it clear that this is not acceptable. You know, I'm 393 00:20:20,720 --> 00:20:24,520 Speaker 2: happy that lawmakers are presenting something, but that is not 394 00:20:24,680 --> 00:20:28,080 Speaker 2: nearly enough. So let's all stay engaged because this fight 395 00:20:28,520 --> 00:20:35,560 Speaker 2: is all of our fights. Got a story about an 396 00:20:35,600 --> 00:20:37,520 Speaker 2: interesting thing in tech or just want to say hi. 397 00:20:37,920 --> 00:20:40,160 Speaker 2: You can reach us at hello at tegodi dot com. 398 00:20:40,240 --> 00:20:42,640 Speaker 2: You can also find transcripts for today's episode at tengody 399 00:20:42,680 --> 00:20:44,760 Speaker 2: dot com. There Are No Girls on the Internet was 400 00:20:44,760 --> 00:20:47,760 Speaker 2: created by me Brigittad. It's a production of iHeartRadio and 401 00:20:47,840 --> 00:20:51,760 Speaker 2: Unbossed Creative. Jonathan Strickland is our executive producer. Tari Harrison 402 00:20:51,800 --> 00:20:54,600 Speaker 2: is our producer and sound engineer. Michael Almado is our 403 00:20:54,600 --> 00:20:58,280 Speaker 2: contributing producer. I'm your host, Brigitad. If you want to 404 00:20:58,280 --> 00:21:00,600 Speaker 2: help us grow, brate and review us on Apple Podcasts. 405 00:21:01,440 --> 00:21:04,240 Speaker 2: For more podcasts from iHeartRadio, check out the iHeartRadio app, 406 00:21:04,280 --> 00:21:06,320 Speaker 2: Apple Podcasts, or wherever you get your podcasts.