1 00:00:10,614 --> 00:00:15,294 Speaker 1: You're listening to a Muma Mia podcast. Mamma Mia acknowledges 2 00:00:15,334 --> 00:00:18,174 Speaker 1: the traditional owners of land and waters that this podcast 3 00:00:18,214 --> 00:00:19,054 Speaker 1: is recorded on. 4 00:00:21,974 --> 00:00:22,174 Speaker 2: Hi. 5 00:00:22,294 --> 00:00:25,454 Speaker 1: I'm Claire Murphy. This is Mumma MIA's daily news podcast, 6 00:00:25,494 --> 00:00:28,574 Speaker 1: The Quickie. Have you come across videos like this in 7 00:00:28,614 --> 00:00:29,574 Speaker 1: your scrolling of late? 8 00:00:29,894 --> 00:00:32,774 Speaker 3: Manner is actually updating its privacy policy. I wonder why 9 00:00:32,814 --> 00:00:34,774 Speaker 3: that is, Probably because on June twenty six they are 10 00:00:34,774 --> 00:00:36,974 Speaker 3: going to be using your public photos and your public 11 00:00:36,974 --> 00:00:38,894 Speaker 3: fosts to train its AI. And if you don't want 12 00:00:38,894 --> 00:00:41,374 Speaker 3: that to happen, which I personally don't, you can opt out, 13 00:00:41,414 --> 00:00:43,414 Speaker 3: and they're making it a little difficult to do so, 14 00:00:43,414 --> 00:00:44,654 Speaker 3: so I'm going to show you how to do that. 15 00:00:45,454 --> 00:00:48,294 Speaker 1: Yep, Meta are less than ten days away from using 16 00:00:48,334 --> 00:00:52,294 Speaker 1: your public Facebook and Instagram posts to train its AI tools, 17 00:00:52,494 --> 00:00:55,294 Speaker 1: and there are plenty of digital activists who are very 18 00:00:55,374 --> 00:00:57,934 Speaker 1: much against it. Before we find out what everyone is 19 00:00:57,974 --> 00:01:00,934 Speaker 1: so concerned about, here's the latest from the Quikie newsroom. Monday, 20 00:01:00,974 --> 00:01:05,534 Speaker 1: June seventeen, the Israeli military will hold daily tactical pauses 21 00:01:05,574 --> 00:01:08,294 Speaker 1: in their military activity in Gaza to allow aid to 22 00:01:08,374 --> 00:01:11,414 Speaker 1: flow into the enclave. The IDF said that fighting in 23 00:01:11,454 --> 00:01:14,694 Speaker 1: the southern city of Rafah would continue as they target 24 00:01:14,774 --> 00:01:18,094 Speaker 1: the remaining Hamas brigades, but would pause from five am 25 00:01:18,214 --> 00:01:21,054 Speaker 1: to four pm local time daily along the road that 26 00:01:21,174 --> 00:01:24,374 Speaker 1: leads to the Koremshalom crossing to allow aid trucks to 27 00:01:24,534 --> 00:01:28,414 Speaker 1: enter the region, where international aid organizations have continually been 28 00:01:28,454 --> 00:01:32,934 Speaker 1: warning of a growing humanitarian crisis. Despite growing international pressure 29 00:01:32,974 --> 00:01:35,894 Speaker 1: for a ceasefire, an agreement to halt the fighting still 30 00:01:35,934 --> 00:01:38,814 Speaker 1: appears to be far off. More than eight months after 31 00:01:38,854 --> 00:01:42,054 Speaker 1: the start of the war in Gaza, economists are broadly 32 00:01:42,094 --> 00:01:44,894 Speaker 1: expecting rates to remain on hold as members of the 33 00:01:44,894 --> 00:01:47,814 Speaker 1: Reserve Bank of Australia assemble for the June interst rate 34 00:01:47,894 --> 00:01:51,294 Speaker 1: meeting today. While inflation is well down from its peak, 35 00:01:51,574 --> 00:01:55,694 Speaker 1: inflation accelerated in April, suggesting stretched borrowers will have to 36 00:01:55,734 --> 00:01:59,294 Speaker 1: wait a little longer for those interest rate cuts. Economic 37 00:01:59,334 --> 00:02:01,414 Speaker 1: teams at all four of the big banks are expecting 38 00:02:01,494 --> 00:02:04,094 Speaker 1: rates to remain on hold at four point three five percent, 39 00:02:04,414 --> 00:02:07,494 Speaker 1: predicting the cuts to come in February twenty twenty five. 40 00:02:08,214 --> 00:02:11,454 Speaker 1: As Prime Minister Anthony Babernesi prepares to meet with China's 41 00:02:11,494 --> 00:02:15,494 Speaker 1: Premier Le Chiang today, supporters of writer Yangheng Juna calling 42 00:02:15,534 --> 00:02:18,574 Speaker 1: on the PM to raise his case. Lee is making 43 00:02:18,574 --> 00:02:22,534 Speaker 1: his first visit to Australia in seven years, Albanesi promising 44 00:02:22,614 --> 00:02:25,654 Speaker 1: to raise the case with China's second highest strength official. 45 00:02:26,014 --> 00:02:29,294 Speaker 1: After a Beijing court handed the Australian citizen a suspended 46 00:02:29,334 --> 00:02:33,414 Speaker 1: death sentence back in February, accusing the writer of espionage. 47 00:02:33,574 --> 00:02:37,414 Speaker 1: Yang has denied the charges. Beijing's High People's Court reviewed 48 00:02:37,454 --> 00:02:40,894 Speaker 1: and upheld the lower court sentence, in forming Australian diplomats 49 00:02:40,894 --> 00:02:44,414 Speaker 1: on May thirty, denying them a consular visit and moving 50 00:02:44,494 --> 00:02:47,054 Speaker 1: Yang to a permanent prison after five years in a 51 00:02:47,094 --> 00:02:51,734 Speaker 1: state security detention center. Prince William's three children have written 52 00:02:51,774 --> 00:02:55,134 Speaker 1: their dad a Father's Day message, which his wife, Princess Catherine, 53 00:02:55,134 --> 00:02:57,654 Speaker 1: has posted alongside a photo she took of them at 54 00:02:57,654 --> 00:03:00,854 Speaker 1: the beach. The message simply says we love you Papa, 55 00:03:00,894 --> 00:03:04,334 Speaker 1: Happy Father's Day, GC and L. The photo is of 56 00:03:04,334 --> 00:03:06,614 Speaker 1: William and the three kids their backs to the camera 57 00:03:06,974 --> 00:03:09,734 Speaker 1: or with their arms around each other looking out to see. 58 00:03:09,814 --> 00:03:12,654 Speaker 1: William also posted a throwback shot of him playing ball 59 00:03:12,694 --> 00:03:15,454 Speaker 1: with his dad as a toddler, writing Happy Father's Day, 60 00:03:15,494 --> 00:03:18,854 Speaker 1: part w The photos release came a day after the 61 00:03:18,854 --> 00:03:21,694 Speaker 1: Princess of Wales's return to royal duties for the first 62 00:03:21,694 --> 00:03:25,614 Speaker 1: time since revealing she'd been diagnosed with cancer, joining King 63 00:03:25,694 --> 00:03:28,414 Speaker 1: Charles on the balcony of Buckingham Palace after watching the 64 00:03:28,414 --> 00:03:31,414 Speaker 1: military parade to celebrate the monarch's official birthday. 65 00:03:31,814 --> 00:03:33,134 Speaker 2: That's what's happening in the world today. 66 00:03:33,174 --> 00:03:37,374 Speaker 1: Next, Meta has let us know that our publicly posted photos, videos, 67 00:03:37,374 --> 00:03:40,174 Speaker 1: and more are about to be used to train their AI. 68 00:03:40,694 --> 00:03:43,414 Speaker 1: But what does that mean for us and why digital 69 00:03:43,454 --> 00:03:56,734 Speaker 1: rights activists fighting it. Recently, Gratzier sent us an email 70 00:03:56,774 --> 00:03:58,614 Speaker 1: with a link to a story asking us to look 71 00:03:58,614 --> 00:03:59,614 Speaker 1: into it a bit more. 72 00:03:59,654 --> 00:04:02,334 Speaker 2: For her. The story was about Meta. 73 00:04:02,414 --> 00:04:06,774 Speaker 4: Meta, the company behind social media juggernaut's Facebook and Instagram. 74 00:04:06,374 --> 00:04:08,294 Speaker 2: Are coming for your data. 75 00:04:08,414 --> 00:04:11,454 Speaker 1: They wanted to train the artificial intelligence and if you 76 00:04:11,494 --> 00:04:12,774 Speaker 1: don't agree, well then too bad. 77 00:04:12,974 --> 00:04:14,374 Speaker 2: You can't say no yes. 78 00:04:14,414 --> 00:04:19,054 Speaker 1: From June twenty six, Meta, the parent company of Facebook, Messenger, WhatsApp, 79 00:04:19,094 --> 00:04:22,654 Speaker 1: and Instagram, are updating their privacy policy. You might have 80 00:04:22,694 --> 00:04:26,254 Speaker 1: seen it already, and maybe, like me, you completely ignored it. 81 00:04:26,734 --> 00:04:29,974 Speaker 1: A message in your Facebook or Instagram notifications that read 82 00:04:30,054 --> 00:04:30,534 Speaker 1: like this. 83 00:04:30,854 --> 00:04:35,254 Speaker 5: We're planning UAI features for you. Learn how we use 84 00:04:35,334 --> 00:04:36,254 Speaker 5: your information. 85 00:04:37,054 --> 00:04:39,614 Speaker 1: From June twenty six, the company will be allowed to 86 00:04:39,694 --> 00:04:44,094 Speaker 1: use the photos, videos, captions, messages, stories and posts of 87 00:04:44,254 --> 00:04:46,934 Speaker 1: anyone over the age of eighteen and from as far 88 00:04:46,974 --> 00:04:50,454 Speaker 1: back as two thousand and seven to train their AI systems. 89 00:04:51,054 --> 00:04:53,934 Speaker 1: Whether your account is public or private, Meta will be 90 00:04:54,054 --> 00:04:58,014 Speaker 1: scraping it. Only your dms are safe and sorry, my 91 00:04:58,134 --> 00:05:01,094 Speaker 1: fellow Wazzies. But unlike our friends in the EU or 92 00:05:01,134 --> 00:05:04,014 Speaker 1: in some US states, whether are laws giving people the 93 00:05:04,014 --> 00:05:07,374 Speaker 1: option to opt out of how Meta uses their data. Here, 94 00:05:07,694 --> 00:05:10,934 Speaker 1: we have no such laws, so our personal info is 95 00:05:11,054 --> 00:05:14,134 Speaker 1: just sitting there free for Meta to AI away at 96 00:05:14,174 --> 00:05:19,934 Speaker 1: it as it likes. We don't know exactly what this 97 00:05:20,054 --> 00:05:23,614 Speaker 1: AI training will be eventually used for, but the company 98 00:05:23,654 --> 00:05:27,174 Speaker 1: has already been shifting the weight integrates AI into your 99 00:05:27,214 --> 00:05:28,614 Speaker 1: social media experience. 100 00:05:29,014 --> 00:05:32,174 Speaker 6: We are releasing the new version of metai, our assistant 101 00:05:32,254 --> 00:05:35,214 Speaker 6: that you can ask any question across our apps and glasses, 102 00:05:35,694 --> 00:05:38,254 Speaker 6: and our goal is to build the world's leading AI 103 00:05:38,574 --> 00:05:40,374 Speaker 6: and make it available to everyone. 104 00:05:40,934 --> 00:05:44,134 Speaker 1: The Meta AI chatbots are in the Facebook, Messenger and 105 00:05:44,214 --> 00:05:47,814 Speaker 1: WhatsApp services. Now users able to ask it anything from 106 00:05:47,934 --> 00:05:51,134 Speaker 1: helping plan a holiday to settling an argument between friends. 107 00:05:51,654 --> 00:05:55,094 Speaker 1: But it's not just a text based relationship. These days, 108 00:05:55,534 --> 00:05:58,294 Speaker 1: there are celebs who've signed up to lend their persona 109 00:05:58,414 --> 00:06:01,814 Speaker 1: to some of these bots, including Snoop Dogg and Kendall Jenner. 110 00:06:02,214 --> 00:06:05,134 Speaker 1: And they don't just answer a question. They're to add 111 00:06:05,174 --> 00:06:08,254 Speaker 1: another layer to your search where you can debate sports 112 00:06:08,334 --> 00:06:11,734 Speaker 1: with a Tom Brady style AI chatbot, or get roasted 113 00:06:11,774 --> 00:06:14,694 Speaker 1: by Zack, a Big Brother bot based on famous YouTuber 114 00:06:14,774 --> 00:06:18,654 Speaker 1: mister Beast. It's a two way conversation, not just asking 115 00:06:18,654 --> 00:06:21,254 Speaker 1: a machine a question. All of this is leading us 116 00:06:21,294 --> 00:06:24,774 Speaker 1: closer and closer to the metaverse, a project. Meta founder 117 00:06:24,774 --> 00:06:28,414 Speaker 1: Mark Zuckerberg has been investing tens of billions of dollars 118 00:06:28,454 --> 00:06:32,014 Speaker 1: in creating augmented reality headsets so we never. 119 00:06:31,814 --> 00:06:32,814 Speaker 2: Have to disconnect. 120 00:06:33,014 --> 00:06:34,574 Speaker 6: No, God, please no. 121 00:06:35,134 --> 00:06:35,814 Speaker 2: But what are the. 122 00:06:35,734 --> 00:06:40,934 Speaker 1: Worst case scenarios? Maybe you're an artist who posts images. 123 00:06:40,534 --> 00:06:41,094 Speaker 2: Of your work. 124 00:06:41,334 --> 00:06:45,014 Speaker 1: Will the AI bots use that to create images? Will 125 00:06:45,054 --> 00:06:47,934 Speaker 1: your likeness be used to create AI images of people 126 00:06:47,974 --> 00:06:51,054 Speaker 1: in AI generated movies? Will your voice be used to 127 00:06:51,054 --> 00:06:55,174 Speaker 1: create AI ads? Some digital rights activists have called the 128 00:06:55,254 --> 00:06:58,494 Speaker 1: move an abuse of personal data, and some have filed 129 00:06:58,494 --> 00:07:01,894 Speaker 1: complaints with local authorities across the world trying to stop 130 00:07:01,934 --> 00:07:05,734 Speaker 1: the scrape from happening, but Meta maintains that it's confident 131 00:07:05,854 --> 00:07:09,094 Speaker 1: it complies with privacy laws, in line with how other 132 00:07:09,094 --> 00:07:12,094 Speaker 1: Big ten firms have used their users data to develop 133 00:07:12,174 --> 00:07:18,614 Speaker 1: their own AI experiences. So should we be worried? Toby 134 00:07:18,654 --> 00:07:21,814 Speaker 1: Walsh is a Laureate Fellow and Scientia Professor of Artificial 135 00:07:21,854 --> 00:07:25,134 Speaker 1: Intelligence at the Department of Computer Science and Engineering at 136 00:07:25,134 --> 00:07:28,814 Speaker 1: the University of New South Wales. Toby, is this data 137 00:07:28,814 --> 00:07:32,734 Speaker 1: scripe something you think will actually impact us as individuals 138 00:07:32,774 --> 00:07:35,614 Speaker 1: who use any of the Meta suite of social media platforms. 139 00:07:36,254 --> 00:07:39,134 Speaker 7: They're wanting to train on your data because that allows 140 00:07:39,214 --> 00:07:44,734 Speaker 7: them to deliver a much more individualized, personalized AI Howard service. 141 00:07:45,094 --> 00:07:46,934 Speaker 7: So on one level, that sounds like that's good, and 142 00:07:47,054 --> 00:07:49,774 Speaker 7: it will be the tools will be much more responsive, 143 00:07:49,934 --> 00:07:53,854 Speaker 7: much more useful to us. But equally it's also what 144 00:07:53,854 --> 00:07:56,214 Speaker 7: else are they going to do with that information that 145 00:07:56,254 --> 00:07:58,374 Speaker 7: they've found out about us? Are they're going to be 146 00:07:58,814 --> 00:08:01,814 Speaker 7: setting us the latest crypto coin? Are they're going to 147 00:08:01,854 --> 00:08:04,574 Speaker 7: be setting us more cat food? Because we're a cat lover. 148 00:08:05,294 --> 00:08:09,094 Speaker 1: So basically the concern should be that they've taken our 149 00:08:10,654 --> 00:08:13,334 Speaker 1: and they're putting us in sort of an endless feedback 150 00:08:13,374 --> 00:08:18,294 Speaker 1: loop of our own choosing and done that by sort 151 00:08:18,334 --> 00:08:21,014 Speaker 1: of exploiting the things that we've provided to them. 152 00:08:21,054 --> 00:08:23,734 Speaker 4: Am I right, Yes, what they're going to do is 153 00:08:23,774 --> 00:08:26,654 Speaker 4: going to be much more power, much more persuades it 154 00:08:26,934 --> 00:08:28,934 Speaker 4: than what they've been able to do with the social 155 00:08:28,974 --> 00:08:32,054 Speaker 4: media data that they've trained on the past, because they're 156 00:08:32,094 --> 00:08:34,934 Speaker 4: going to be able to generate, for example, synthetic voices 157 00:08:34,974 --> 00:08:35,534 Speaker 4: that sound. 158 00:08:35,374 --> 00:08:37,974 Speaker 7: Like our voices, or synthetic voices that sound like the 159 00:08:38,054 --> 00:08:41,254 Speaker 7: voices of our best friends, videos that include us saying 160 00:08:41,294 --> 00:08:44,494 Speaker 7: things that we never said. We should be outraged they're 161 00:08:44,494 --> 00:08:47,454 Speaker 7: doing it, and there's no way that we can opt 162 00:08:47,494 --> 00:08:48,614 Speaker 7: out of them doing it. 163 00:08:48,694 --> 00:08:50,494 Speaker 4: If you are Ound Australia, and. 164 00:08:50,454 --> 00:08:52,214 Speaker 1: I think a lot of the worry is that AI 165 00:08:52,334 --> 00:08:55,614 Speaker 1: will be trained on using our photos and videos in 166 00:08:55,654 --> 00:09:00,174 Speaker 1: particular to create essentially something that might be made in 167 00:09:00,214 --> 00:09:03,734 Speaker 1: our likeness. Could they use our faces, for example, to 168 00:09:03,814 --> 00:09:07,894 Speaker 1: create an AI persona that could be used in a 169 00:09:07,934 --> 00:09:11,534 Speaker 1: movie for example, Or could they use our voices to 170 00:09:11,574 --> 00:09:15,414 Speaker 1: create AI advertising? Could they use our personal data for 171 00:09:15,454 --> 00:09:16,014 Speaker 1: things like that? 172 00:09:16,454 --> 00:09:19,014 Speaker 7: It's technically possible that they could do that. Your best 173 00:09:19,054 --> 00:09:21,854 Speaker 7: friend could be trying to sell you some product in 174 00:09:21,894 --> 00:09:24,814 Speaker 7: the future because they have that data from placebook. They 175 00:09:24,894 --> 00:09:27,094 Speaker 7: know who your friend is, and they also know what 176 00:09:27,214 --> 00:09:30,214 Speaker 7: your best friend sounds like. Are need a few seconds 177 00:09:30,334 --> 00:09:33,454 Speaker 7: of someone's voice to be able to clone their voice? Equally, 178 00:09:33,454 --> 00:09:35,094 Speaker 7: it might not just be their voice, it might be 179 00:09:35,134 --> 00:09:37,534 Speaker 7: a video of that person. So yes, I think we 180 00:09:37,574 --> 00:09:40,494 Speaker 7: should be concerned how they do these things. Let me 181 00:09:40,574 --> 00:09:43,854 Speaker 7: not forget. Also, it was exactly those sorts of technologies 182 00:09:43,894 --> 00:09:47,854 Speaker 7: which used disastrously in that school in Melbourne to create 183 00:09:47,854 --> 00:09:49,654 Speaker 7: all those detate news. 184 00:09:50,174 --> 00:09:53,774 Speaker 1: Other platforms already scrape data for this purpose. If you 185 00:09:53,814 --> 00:09:58,214 Speaker 1: look through the privacy policy of Twitter Akax, for example, 186 00:09:58,334 --> 00:10:00,774 Speaker 1: they state very clearly that they're using anything that you 187 00:10:00,894 --> 00:10:05,454 Speaker 1: post to train their ai. Reddit has even sold their 188 00:10:05,534 --> 00:10:09,774 Speaker 1: data to others like Google and open Ai to use 189 00:10:09,854 --> 00:10:13,214 Speaker 1: to train their AI bots. Is this something that's just 190 00:10:13,494 --> 00:10:16,174 Speaker 1: unavoidable now? If we're putting things out into a public 191 00:10:16,174 --> 00:10:18,574 Speaker 1: space freely handing over this data as we have been 192 00:10:18,614 --> 00:10:21,454 Speaker 1: doing for you know, a couple of decades now, is 193 00:10:21,494 --> 00:10:23,454 Speaker 1: this just something we should expect to happen to us. 194 00:10:23,934 --> 00:10:26,174 Speaker 7: No, it's not something that we should expect to happen. 195 00:10:26,294 --> 00:10:29,454 Speaker 7: I think we should be demanding that we have similar 196 00:10:29,534 --> 00:10:33,214 Speaker 7: data protection rights as citizens In other countries, and in Europe, 197 00:10:33,254 --> 00:10:36,614 Speaker 7: for example, they do have much stricter data privacy rights, 198 00:10:36,734 --> 00:10:39,774 Speaker 7: and the government in this country has been slow to 199 00:10:39,934 --> 00:10:43,774 Speaker 7: update the data protection and regulation that we have here. 200 00:10:44,094 --> 00:10:48,214 Speaker 7: For example, in Europe, you could demand that your datado. 201 00:10:48,494 --> 00:10:50,854 Speaker 7: We don't have that right here, which is why we 202 00:10:50,934 --> 00:10:54,134 Speaker 7: can't say to Facebook or any other companies, no, actually 203 00:10:54,134 --> 00:10:56,494 Speaker 7: I want you to forget that data that you've collected 204 00:10:56,534 --> 00:10:56,974 Speaker 7: from there. 205 00:10:57,734 --> 00:11:00,654 Speaker 1: If you were to delete all of your meta suite 206 00:11:00,654 --> 00:11:03,774 Speaker 1: of social media accounts, can they still use that to 207 00:11:03,814 --> 00:11:04,494 Speaker 1: scripe data. 208 00:11:05,014 --> 00:11:08,814 Speaker 7: Unfortunately, they've already taken snapshots of that data, so even 209 00:11:08,814 --> 00:11:12,494 Speaker 7: if you delete it from your current account, they will 210 00:11:12,494 --> 00:11:15,414 Speaker 7: have the records about moving backwards in the past. Again, 211 00:11:15,454 --> 00:11:18,174 Speaker 7: that's why we would need regulation where in places like 212 00:11:18,214 --> 00:11:20,774 Speaker 7: Europe you can actually ask them to delete those records. 213 00:11:21,174 --> 00:11:24,774 Speaker 1: What laws do we need to enact to ensure that 214 00:11:24,814 --> 00:11:27,334 Speaker 1: this doesn't happen to us and it is already happening, 215 00:11:27,374 --> 00:11:29,934 Speaker 1: even just to me personally. The company I work for, 216 00:11:30,014 --> 00:11:33,294 Speaker 1: Mum and Mea, created an AI voice training it using 217 00:11:33,574 --> 00:11:35,974 Speaker 1: my voice and others. They didn't need my permission to 218 00:11:36,014 --> 00:11:38,574 Speaker 1: do so they still don't. What law should we be 219 00:11:38,574 --> 00:11:41,454 Speaker 1: putting in place to make sure that our permission is 220 00:11:41,494 --> 00:11:43,134 Speaker 1: given before this stuff is handed over. 221 00:11:43,734 --> 00:11:47,414 Speaker 7: We need protection and a number of different ways. I 222 00:11:47,414 --> 00:11:50,214 Speaker 7: think we need to hold the social media platforms more accountable, 223 00:11:50,254 --> 00:11:53,574 Speaker 7: so when they distribute content, we actually hold them to 224 00:11:53,614 --> 00:11:56,214 Speaker 7: the safest of standards. We hold old fashion media like 225 00:11:56,254 --> 00:11:59,294 Speaker 7: the ABC. Some of this content, of the distributing it 226 00:11:59,454 --> 00:12:01,734 Speaker 7: only becomes harmful when it's put in front of lots 227 00:12:01,734 --> 00:12:03,694 Speaker 7: of eyeboards, And so I think you need to hold 228 00:12:03,734 --> 00:12:06,254 Speaker 7: the tech companies more accountable. As an example, the fact 229 00:12:06,294 --> 00:12:10,414 Speaker 7: that you can so easily access and use tools that 230 00:12:10,574 --> 00:12:13,454 Speaker 7: create de fake news, I think again, why do we 231 00:12:13,494 --> 00:12:16,534 Speaker 7: allow people to sell such tools and distribute such tools. 232 00:12:17,014 --> 00:12:19,094 Speaker 7: They only seem to be bringing harm into our lives, 233 00:12:19,094 --> 00:12:21,614 Speaker 7: not benefits. And then finally, I think we need laws 234 00:12:21,654 --> 00:12:24,854 Speaker 7: around our data privacy and data protection that allow us 235 00:12:24,934 --> 00:12:25,974 Speaker 7: a right to be forgotten. 236 00:12:26,574 --> 00:12:29,494 Speaker 1: Soby we keep hearing that phrase social media platform should 237 00:12:29,494 --> 00:12:31,774 Speaker 1: be held more accountable. We hear it over and over 238 00:12:31,814 --> 00:12:34,894 Speaker 1: in many different ways, attached to many different stories, and 239 00:12:34,974 --> 00:12:39,134 Speaker 1: it doesn't seem like they ever truly are held accountable. 240 00:12:39,374 --> 00:12:41,654 Speaker 1: Even when they're in front of courts. They don't tend 241 00:12:41,694 --> 00:12:44,534 Speaker 1: to really end up facing any consequences for the things 242 00:12:44,574 --> 00:12:47,974 Speaker 1: that they have created. How do we actually hold social 243 00:12:48,014 --> 00:12:50,134 Speaker 1: media platforms accountable for this kind of stuff? 244 00:12:50,854 --> 00:12:53,534 Speaker 7: I think it's entirely possible to hold the social media 245 00:12:53,574 --> 00:12:57,054 Speaker 7: platforms more accountable. Regulators actually discover quite a useful tool, 246 00:12:57,054 --> 00:13:00,134 Speaker 7: which is if you try to find them some fractions 247 00:13:00,494 --> 00:13:03,654 Speaker 7: four percent or five percent of their global turnover, then 248 00:13:03,974 --> 00:13:06,214 Speaker 7: that's serious money for them, and they actually do pay attention. 249 00:13:06,494 --> 00:13:08,654 Speaker 7: So I think it is possible to regulate and to 250 00:13:08,734 --> 00:13:11,494 Speaker 7: ensure that they do a better job. We did this, 251 00:13:11,894 --> 00:13:15,574 Speaker 7: for example, after the tragedies in christ Church, that terrorist 252 00:13:15,574 --> 00:13:19,974 Speaker 7: act that happened, we pass laws here in Australia saying 253 00:13:20,134 --> 00:13:23,854 Speaker 7: to the social media platforms, if such content is not 254 00:13:24,014 --> 00:13:26,934 Speaker 7: taken down quickly enough, we will hold the officers of 255 00:13:26,974 --> 00:13:30,374 Speaker 7: those companies criminally liable. Now that's not being perfect, but 256 00:13:30,894 --> 00:13:33,534 Speaker 7: the data I've seen all suggest that those platforms now 257 00:13:33,574 --> 00:13:36,374 Speaker 7: take down that content a lot quicker than they used 258 00:13:36,374 --> 00:13:38,734 Speaker 7: to because of the threat of those laws. 259 00:13:39,334 --> 00:13:41,054 Speaker 1: Will we eventually end up in a bit of an 260 00:13:41,094 --> 00:13:44,414 Speaker 1: AI loop, though, Toby, because I'm seeing personally more and 261 00:13:44,454 --> 00:13:47,534 Speaker 1: more AI generated content on my own social media feeds, 262 00:13:47,814 --> 00:13:52,094 Speaker 1: and if AI is using these platforms to train itself, 263 00:13:52,574 --> 00:13:55,214 Speaker 1: won't it essentially be then training itself eventually? 264 00:13:55,814 --> 00:13:59,534 Speaker 7: That's something actually quite worrying. We may look back at 265 00:13:59,534 --> 00:14:03,174 Speaker 7: twenty twenty four as the golden made there when ninety 266 00:14:03,214 --> 00:14:07,054 Speaker 7: nine percent of the content was high quality human generated content, 267 00:14:07,694 --> 00:14:10,854 Speaker 7: because in the future, maybe that ninety nine percent of 268 00:14:10,854 --> 00:14:14,534 Speaker 7: the content is synthetic, machine generated content. And that's going 269 00:14:14,614 --> 00:14:17,254 Speaker 7: to not be such a good world in which human 270 00:14:17,334 --> 00:14:20,254 Speaker 7: voices are drowned out by the computer voices. And we 271 00:14:20,294 --> 00:14:23,094 Speaker 7: already know that that's going to be quite dangerous. That 272 00:14:23,254 --> 00:14:25,974 Speaker 7: any small biases that exist in the content that we 273 00:14:26,054 --> 00:14:30,174 Speaker 7: have today, every time we train the next generation on 274 00:14:30,214 --> 00:14:33,254 Speaker 7: the outputs of the previous generation, those small bises tend 275 00:14:33,334 --> 00:14:36,694 Speaker 7: to get amplified, and so any racism or sexism or 276 00:14:36,694 --> 00:14:39,214 Speaker 7: agism or whatever it is that we be worried about will 277 00:14:39,254 --> 00:14:42,294 Speaker 7: get amplified. Therefore, we may look back and think, oh, well, 278 00:14:42,334 --> 00:14:44,414 Speaker 7: that was when the Internet was good, when it was human. 279 00:14:48,494 --> 00:14:51,814 Speaker 1: Scrolling through a Reddit thread talking about this decision by Meta, 280 00:14:51,854 --> 00:14:54,894 Speaker 1: and one comment summed up exactly what it means to 281 00:14:54,934 --> 00:14:57,334 Speaker 1: be a user of a social media platform. 282 00:14:57,494 --> 00:15:01,214 Speaker 5: Facebook is not a product for users. It's users are 283 00:15:01,254 --> 00:15:02,934 Speaker 5: the products for Facebook. 284 00:15:03,574 --> 00:15:07,774 Speaker 2: Without us, Meta technically has nothing. But since they do. 285 00:15:07,774 --> 00:15:10,734 Speaker 1: Already have us, they will use what we have freely 286 00:15:10,854 --> 00:15:13,494 Speaker 1: given them, and less laws are put in place to 287 00:15:13,534 --> 00:15:14,294 Speaker 1: stop them. 288 00:15:14,414 --> 00:15:16,774 Speaker 6: In the meantime, Join that AI, I mean, know what 289 00:15:16,814 --> 00:15:17,134 Speaker 6: you think. 290 00:15:18,974 --> 00:15:21,694 Speaker 1: Thanks for tuning in today, friends. The Quickie is produced 291 00:15:21,734 --> 00:15:25,054 Speaker 1: by me Claire Murphy and our executive producer Callie Rintle, 292 00:15:25,174 --> 00:15:27,014 Speaker 1: with audio production by Tom Lyin.