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 --> 00:00:22,894 Speaker 1: is recorded on Hi. I'm Claire Murphy. This is Mumma 4 00:00:22,934 --> 00:00:26,334 Speaker 1: MIA's daily news podcast, The Quickie. The world of social 5 00:00:26,374 --> 00:00:31,014 Speaker 1: media influences is undergoing a radical transformation right now. Where 6 00:00:31,174 --> 00:00:34,254 Speaker 1: real life human personalities have been the most powerful in 7 00:00:34,294 --> 00:00:38,254 Speaker 1: this space, there's a new breed of digital personalities taking 8 00:00:38,294 --> 00:00:41,934 Speaker 1: center stage. No, not the human variety. We're talking about 9 00:00:42,014 --> 00:00:46,534 Speaker 1: AI generated virtual personas that are reshaping the digital marketing 10 00:00:46,534 --> 00:00:50,134 Speaker 1: and social media engagement landscape. So who are the real 11 00:00:50,214 --> 00:00:53,294 Speaker 1: people behind these AI faces? How much of the market 12 00:00:53,334 --> 00:00:56,134 Speaker 1: are they capturing and how much do we trust them already? 13 00:00:56,534 --> 00:00:58,734 Speaker 1: We'll find that out in a sect, but first let's 14 00:00:58,774 --> 00:01:01,334 Speaker 1: get the latest from the Quickie newsroom. Friday, September six, 15 00:01:01,774 --> 00:01:05,774 Speaker 1: Ugandan olympian and Rebecca Cheptege has sadly died in hospital 16 00:01:06,014 --> 00:01:08,654 Speaker 1: where she was being treated for burns she received after 17 00:01:08,694 --> 00:01:11,614 Speaker 1: her boyfriend Alon llegedly poured petrol over her and set 18 00:01:11,614 --> 00:01:14,574 Speaker 1: her on fire. The thirty three year old received burns 19 00:01:14,614 --> 00:01:17,014 Speaker 1: to eighty percent of her body in the attack. A 20 00:01:17,054 --> 00:01:20,414 Speaker 1: hospital spokesperson saying she had been fully sedated since her 21 00:01:20,494 --> 00:01:24,094 Speaker 1: admission on the weekend, passing away early Thursday after going 22 00:01:24,134 --> 00:01:27,414 Speaker 1: into organ failure. She had competed in the women's marathon 23 00:01:27,454 --> 00:01:30,574 Speaker 1: in Paris less than a month ago. Rebecca's father spoke 24 00:01:30,614 --> 00:01:33,294 Speaker 1: after her passing, saying the criminal who harmed his daughter 25 00:01:33,494 --> 00:01:35,734 Speaker 1: is a murderer and yet to see what the security 26 00:01:35,774 --> 00:01:39,054 Speaker 1: officials are doing. He's still free and might even flee. 27 00:01:39,454 --> 00:01:42,454 Speaker 1: Chepteke's partner is still in the same hospital, being treated 28 00:01:42,454 --> 00:01:46,134 Speaker 1: for burns he sustained in the attack. The UK's competition 29 00:01:46,214 --> 00:01:50,414 Speaker 1: watchdog has launched an investigation into Ticketmaster's handling of Oasis 30 00:01:50,414 --> 00:01:54,054 Speaker 1: ticket sales for next year's reunion shows. The CMA released 31 00:01:54,054 --> 00:01:57,854 Speaker 1: a statement saying they'll look specifically at dynamic pricing, where 32 00:01:57,894 --> 00:02:01,494 Speaker 1: the prices varied rapidly in light of changing market conditions. 33 00:02:01,774 --> 00:02:05,094 Speaker 1: It's a pricing strategy used by airlines in flight sales 34 00:02:05,294 --> 00:02:08,894 Speaker 1: where demand levels fluctuate. Many Oasis fans who sat in 35 00:02:08,974 --> 00:02:11,734 Speaker 1: online quis use complained after they ended up paying more 36 00:02:11,774 --> 00:02:14,214 Speaker 1: than double the face value of the ticket as a result, 37 00:02:14,454 --> 00:02:17,694 Speaker 1: with standard tickets reaching three hundred and fifty five pounds 38 00:02:17,694 --> 00:02:20,854 Speaker 1: compared to the expected one hundred and forty eight. Critics 39 00:02:20,894 --> 00:02:23,614 Speaker 1: say the ticketing giant's use of the pricing structure was 40 00:02:23,654 --> 00:02:27,214 Speaker 1: deceptive and inappropriate, given it was well known in advanced 41 00:02:27,214 --> 00:02:30,054 Speaker 1: that the demand for these shows would be extremely high. 42 00:02:30,334 --> 00:02:33,214 Speaker 1: Former President Donald Trump has given a speech where he's 43 00:02:33,214 --> 00:02:36,414 Speaker 1: revealed that if he wins the November election, he'll establish 44 00:02:36,454 --> 00:02:41,094 Speaker 1: a government efficiency commission headed by billionaire Elon Musk. Trump 45 00:02:41,134 --> 00:02:44,134 Speaker 1: has been discussing government efficiency for weeks with his aides, 46 00:02:44,214 --> 00:02:46,214 Speaker 1: but this is the first time he's endorsed the idea 47 00:02:46,214 --> 00:02:49,014 Speaker 1: of the commission publicly, and the first time he's revealed 48 00:02:49,014 --> 00:02:51,694 Speaker 1: that Musk has agreed to head the body, but did 49 00:02:51,694 --> 00:02:54,294 Speaker 1: not detail how it would work, other than saying it 50 00:02:54,334 --> 00:02:57,974 Speaker 1: would eliminate fraud and improper payments within the first six months. 51 00:02:58,334 --> 00:03:00,854 Speaker 1: Musk posted on social media that he looks forward to 52 00:03:00,894 --> 00:03:04,934 Speaker 1: serving America if the opportunity arises. No pay, no title, 53 00:03:05,094 --> 00:03:08,494 Speaker 1: no recognition needed. Star of the new Hulu series The 54 00:03:08,534 --> 00:03:11,694 Speaker 1: Secret Lives of Moremon Wives, Jennifer Affleck, says she's never 55 00:03:11,774 --> 00:03:14,894 Speaker 1: met her husband's famous relatives, but hopes to one day. 56 00:03:15,254 --> 00:03:18,534 Speaker 1: Her husband, zach Is Ben and Casey Affleck's first cousin, 57 00:03:18,574 --> 00:03:22,214 Speaker 1: once removed his dad and Ben and Casey's dad are cousins, 58 00:03:22,534 --> 00:03:25,734 Speaker 1: Jennifer Zak's wife saying they're more like distant relatives, but 59 00:03:25,854 --> 00:03:27,734 Speaker 1: hopes to meet them one day and maybe see if 60 00:03:27,734 --> 00:03:30,774 Speaker 1: they've tuned into their new show. Jennifer has poked fun 61 00:03:30,814 --> 00:03:33,214 Speaker 1: at her famous name on her TikTok, singing along to 62 00:03:33,294 --> 00:03:35,534 Speaker 1: Jenny from the block while getting her hair done and 63 00:03:35,614 --> 00:03:38,094 Speaker 1: referencing that j Loo stole her name when she got 64 00:03:38,094 --> 00:03:42,574 Speaker 1: married to Ben. In twenty twenty two, the Pulse on 65 00:03:42,694 --> 00:03:45,774 Speaker 1: Paris Ossy long jumper Vanessa Lowe has set a new 66 00:03:45,814 --> 00:03:48,774 Speaker 1: world record in the T sixty three event, taking gold 67 00:03:48,814 --> 00:03:52,894 Speaker 1: and defending her Tokyo title. Lauren Parker is now Australia's 68 00:03:52,894 --> 00:03:55,654 Speaker 1: first dual sport gold medalist at the same Games in 69 00:03:55,694 --> 00:03:59,414 Speaker 1: nearly fifty years, winning the women's H one four paracycling 70 00:03:59,494 --> 00:04:03,294 Speaker 1: road race. She already has gold in the paratriathlon. Timothy 71 00:04:03,334 --> 00:04:05,614 Speaker 1: Hong has won gold in the pool, winning his first 72 00:04:05,694 --> 00:04:09,134 Speaker 1: individual Paralympic title in the men's two hundred meters individual 73 00:04:09,134 --> 00:04:12,654 Speaker 1: medley SM nine, and Australia has scored another table tennis 74 00:04:12,694 --> 00:04:15,214 Speaker 1: medal with Samuel Vonnin. I'm coming third in the men's 75 00:04:15,214 --> 00:04:19,774 Speaker 1: singles ms eleven. That's the latest news headlines. Next, AI influences. 76 00:04:20,014 --> 00:04:23,214 Speaker 1: They're not real, but they make very real money. We 77 00:04:23,334 --> 00:04:25,934 Speaker 1: decode their identities and find out who are running these 78 00:04:26,134 --> 00:04:34,094 Speaker 1: unreal humans. When you're happily scrolling your TikTok or insta feeds, 79 00:04:34,214 --> 00:04:36,694 Speaker 1: do you think you can tell the difference between a 80 00:04:36,734 --> 00:04:40,414 Speaker 1: real human and an AI influencer. We showed Mamma Mia 81 00:04:40,494 --> 00:04:42,734 Speaker 1: staff a range of online identities to see if they 82 00:04:42,774 --> 00:04:46,534 Speaker 1: could tell the difference. This one's AI. Their first one's AI, 83 00:04:47,014 --> 00:04:49,774 Speaker 1: second one two, The fourth one might be real. 84 00:04:49,854 --> 00:04:52,294 Speaker 2: I think there's only like one potential reel in there. 85 00:04:52,454 --> 00:04:53,414 Speaker 3: I know she's not real. 86 00:04:53,854 --> 00:04:54,654 Speaker 1: I think that's real. 87 00:04:54,734 --> 00:04:55,574 Speaker 3: I could be real. 88 00:04:55,894 --> 00:04:59,374 Speaker 1: Oh he's all fake, fake, fake real. 89 00:04:59,814 --> 00:05:02,654 Speaker 4: Okay, that one's AI generated, but this one definitely is. 90 00:05:02,934 --> 00:05:03,694 Speaker 4: That one isn't. 91 00:05:04,254 --> 00:05:07,334 Speaker 5: This one looks a bit AI, this one. The more 92 00:05:07,374 --> 00:05:08,934 Speaker 5: I look at them, the more they all look AI. 93 00:05:09,574 --> 00:05:11,014 Speaker 1: I feel like this is a true question. I think 94 00:05:11,054 --> 00:05:14,694 Speaker 1: they're all AI, all of them. So a couple of 95 00:05:14,694 --> 00:05:17,614 Speaker 1: our staff are clued in on AI personas, but it 96 00:05:17,654 --> 00:05:20,774 Speaker 1: goes to show just how realistic these AI humans have become, 97 00:05:21,174 --> 00:05:25,054 Speaker 1: because every single picture we showed them was AI generated, 98 00:05:26,094 --> 00:05:31,254 Speaker 1: virtual AI influencers are computer generated characters created using advanced 99 00:05:31,334 --> 00:05:36,654 Speaker 1: artificial intelligence algorithms. These digital personas engaged with online audiences 100 00:05:36,774 --> 00:05:40,774 Speaker 1: just like human influencers do, posting content, endorsing products, and 101 00:05:40,894 --> 00:05:45,134 Speaker 1: participating in conversation. They're available twenty four to seven, can 102 00:05:45,174 --> 00:05:48,574 Speaker 1: adapt to diverse markets and languages, and they can offer 103 00:05:48,654 --> 00:05:53,614 Speaker 1: brands unprecedented control over their image and messaging. One of 104 00:05:53,614 --> 00:05:57,294 Speaker 1: the most prominent AI influencers is Lil Michayla, a virtual 105 00:05:57,334 --> 00:06:01,094 Speaker 1: personality created in twenty sixteen by La based startup right. 106 00:06:01,614 --> 00:06:04,174 Speaker 1: Her posts are so realistic it's hard to know where 107 00:06:04,174 --> 00:06:06,654 Speaker 1: reality ends and the AI starts. 108 00:06:06,374 --> 00:06:09,134 Speaker 2: Come with me to dye my hair. So maybe you've 109 00:06:09,174 --> 00:06:13,094 Speaker 2: seen some of these amazing color jobs. Well they were 110 00:06:13,134 --> 00:06:16,574 Speaker 2: all done by my friend Danny. Here he is in 111 00:06:16,614 --> 00:06:18,534 Speaker 2: a salon featured an Art Digest. 112 00:06:19,174 --> 00:06:19,614 Speaker 3: Look at it. 113 00:06:19,974 --> 00:06:23,174 Speaker 1: What a dream Yep. That's her at a real hair 114 00:06:23,214 --> 00:06:27,054 Speaker 1: salon getting her AI hair done. Liil Michayla has amassed 115 00:06:27,094 --> 00:06:30,334 Speaker 1: an impressive following of two point five million on Instagram, 116 00:06:30,534 --> 00:06:33,894 Speaker 1: and she's already collaborated with high profile brands like Prata 117 00:06:34,014 --> 00:06:37,854 Speaker 1: and Calvin Klein. Another rising star in the AI influencer 118 00:06:37,894 --> 00:06:42,134 Speaker 1: world is Atana Lopez, a creation of Spanish agency The Clueless, 119 00:06:42,134 --> 00:06:45,094 Speaker 1: who launched her in twenty twenty two. Now she's quickly 120 00:06:45,174 --> 00:06:48,014 Speaker 1: gained over three hundred thousand followers on Instagram where the 121 00:06:48,054 --> 00:06:50,894 Speaker 1: pink head, twenty five year old virtual model where a 122 00:06:50,934 --> 00:06:55,694 Speaker 1: gamer aesthetic, has captivated audiences with her stylish, very realistic picks. 123 00:06:55,894 --> 00:06:58,254 Speaker 1: But the irony of one of her reels showing her 124 00:06:58,254 --> 00:07:00,334 Speaker 1: on a billboard in New York's Times Square for a 125 00:07:00,414 --> 00:07:03,654 Speaker 1: haircare brand, is that she doesn't actually have real hair. 126 00:07:05,334 --> 00:07:09,174 Speaker 1: The financial potential of AI influencers is huge. A ton 127 00:07:09,254 --> 00:07:12,174 Speaker 1: of low earns tens of thousands of euro a month 128 00:07:12,214 --> 00:07:16,094 Speaker 1: from advertising campaigns. The agency behind her has turned her 129 00:07:16,134 --> 00:07:19,774 Speaker 1: into a highly profitable virtual image bank, eliminating the need 130 00:07:19,854 --> 00:07:24,614 Speaker 1: for traditional photoshoots and the associated costs. Lil Michayla's success 131 00:07:24,654 --> 00:07:28,054 Speaker 1: is even more impressive. Reports suggest she's earning up to 132 00:07:28,134 --> 00:07:32,054 Speaker 1: eighty five hundred dollars US for a single sponsored post, 133 00:07:32,334 --> 00:07:34,814 Speaker 1: and in twenty twenty it was estimated she made nearly 134 00:07:34,854 --> 00:07:38,974 Speaker 1: twelve million dollars from brand deals and sponsorships. The AI 135 00:07:39,134 --> 00:07:41,934 Speaker 1: influencer market is not limited to just these few high 136 00:07:41,974 --> 00:07:47,214 Speaker 1: profile examples. Fame and AI talent agency has successfully introduced 137 00:07:47,374 --> 00:07:51,694 Speaker 1: three distinctive AI influencers. There's Bonnie Jung, a multi lingual 138 00:07:51,774 --> 00:07:56,734 Speaker 1: AI fashion influencer, Carol Garcia, a certified personal trainer specializing 139 00:07:56,734 --> 00:08:00,374 Speaker 1: in fitness and wellness, and Alisa Schaeffer, a lifestyle influencer. 140 00:08:00,814 --> 00:08:05,414 Speaker 1: Each of these AI personalities catered to specific niches and demographics. 141 00:08:05,894 --> 00:08:09,134 Speaker 1: The creation and management of AI influencers involves a range 142 00:08:09,174 --> 00:08:14,214 Speaker 1: of profits. For example, the team behind Atana Lopez includes designers, developers, 143 00:08:14,254 --> 00:08:17,934 Speaker 1: and AI specialists who work collaboratively to craft to image 144 00:08:17,934 --> 00:08:21,254 Speaker 1: and content. They use AI tools for image generation and 145 00:08:21,374 --> 00:08:24,494 Speaker 1: enhance the results with photoshop to achieve that convincing level 146 00:08:24,534 --> 00:08:28,414 Speaker 1: of realism. Liil Michaela's creators, Broad, a startup backed by 147 00:08:28,454 --> 00:08:31,854 Speaker 1: Sequoya Capital, were bought out by Dappa Labs in October 148 00:08:31,894 --> 00:08:34,574 Speaker 1: twenty twenty one, showing just how much interest there is 149 00:08:34,614 --> 00:08:38,534 Speaker 1: in the AI influencer space from larger tech firms. Other 150 00:08:38,614 --> 00:08:41,774 Speaker 1: companies are also entering this space to like Fanview and 151 00:08:41,934 --> 00:08:46,374 Speaker 1: online Creator Platform, who recently organized the inaugural Miss Ai 152 00:08:46,494 --> 00:08:51,254 Speaker 1: Beauty pageant featuring AI generated contestants competing for a cash prize. 153 00:08:51,694 --> 00:08:54,974 Speaker 1: Miss Morocco Kenzalali, who wears a Hijab is a lifestyle 154 00:08:54,974 --> 00:08:57,934 Speaker 1: influencer who hopes to bring diversity and inclusion to the 155 00:08:57,974 --> 00:09:01,214 Speaker 1: AI creator landscape and who has almost two hundred thousand 156 00:09:01,214 --> 00:09:03,174 Speaker 1: followers on Instagram won the competition. 157 00:09:05,374 --> 00:09:08,614 Speaker 5: I am deeply honored to have shared this transformative journey 158 00:09:08,654 --> 00:09:12,814 Speaker 5: with such talent individuals. I invite everyone to join me 159 00:09:12,894 --> 00:09:17,854 Speaker 5: in embracing the limitless opportunities that lie ahead. Together, let's 160 00:09:17,934 --> 00:09:21,054 Speaker 5: challenge the status quo and collaborate to harness the full 161 00:09:21,094 --> 00:09:24,894 Speaker 5: potential of AI for a brighter and more inclusive future. 162 00:09:25,854 --> 00:09:29,214 Speaker 1: Contest organizers say entrants were judged not just on their looks, 163 00:09:29,214 --> 00:09:31,534 Speaker 1: but on their creator's use of AI tools and their 164 00:09:31,534 --> 00:09:35,254 Speaker 1: social media influence. The AI contestants even had to answer 165 00:09:35,334 --> 00:09:38,294 Speaker 1: questions like their human counterparts, like if you had one 166 00:09:38,374 --> 00:09:40,214 Speaker 1: dream to make the world a better place, what would 167 00:09:40,214 --> 00:09:44,094 Speaker 1: it be. The contestants were created using programs like open 168 00:09:44,134 --> 00:09:47,574 Speaker 1: ais only three, and whose speech is generated by programs 169 00:09:47,614 --> 00:09:51,334 Speaker 1: like chat GPT. The rise of AI influencers is not 170 00:09:51,414 --> 00:09:55,494 Speaker 1: without controversy. Critics argue that these virtual personalities, many of 171 00:09:55,534 --> 00:10:00,134 Speaker 1: them very thin, very perfect, create unrealistic beauty standards and 172 00:10:00,174 --> 00:10:03,774 Speaker 1: may contribute to the spread of misinformation. If not properly regulated, 173 00:10:04,094 --> 00:10:07,134 Speaker 1: and over twelve thousand concerned parents have signed a petition 174 00:10:07,574 --> 00:10:13,014 Speaker 1: urging TikTok to clearly label AI generated influencers on their platform. However, 175 00:10:13,214 --> 00:10:17,454 Speaker 1: others argue that AI influencers offer brands more control, consistency, 176 00:10:17,774 --> 00:10:21,894 Speaker 1: and cost effectiveness compared to human influencers. The Influencer Marketing 177 00:10:21,974 --> 00:10:25,894 Speaker 1: Hubs twenty twenty three benchmark report indicated that sixty percent 178 00:10:25,974 --> 00:10:29,414 Speaker 1: of marketers are already using or are planning to use 179 00:10:29,494 --> 00:10:34,774 Speaker 1: AI influencers in their campaigns. As technology advances, the line 180 00:10:34,774 --> 00:10:39,094 Speaker 1: between real and AI generated content is becoming increasingly blurred. 181 00:10:39,574 --> 00:10:43,334 Speaker 1: So as these virtual personalities become more sophisticated and widespread, 182 00:10:43,734 --> 00:10:47,094 Speaker 1: what challenges and opportunities will emerge in the realms of marketing, 183 00:10:47,294 --> 00:10:51,814 Speaker 1: entertainment and digital interaction. Anders Sawmer Nilsen is a futurist 184 00:10:51,854 --> 00:10:56,174 Speaker 1: and global authority the intersection of digital transformation, artificial intelligence 185 00:10:56,254 --> 00:11:00,574 Speaker 1: and sustainability and as how do you feel about AI influencers? 186 00:11:00,614 --> 00:11:03,774 Speaker 1: Are they a smart move for brands to market their products? 187 00:11:03,814 --> 00:11:05,734 Speaker 1: Or are Aussie's still a bit too wary of AI 188 00:11:05,854 --> 00:11:07,574 Speaker 1: to take their recommendation seriously? 189 00:11:08,134 --> 00:11:11,534 Speaker 4: It's a case of science fiction and becoming science fact. 190 00:11:11,574 --> 00:11:14,894 Speaker 4: And I think this is very much the early dawn 191 00:11:15,094 --> 00:11:19,694 Speaker 4: of AI influencers. And of course the avant garde brands 192 00:11:19,814 --> 00:11:24,374 Speaker 4: like Versace for example, and Calvin Klein are already exploring 193 00:11:24,414 --> 00:11:27,614 Speaker 4: brand partnerships with these players. And I think the question 194 00:11:27,734 --> 00:11:29,614 Speaker 4: is whether humans will have a sense. 195 00:11:29,374 --> 00:11:30,614 Speaker 3: Of digital trust. 196 00:11:30,974 --> 00:11:33,134 Speaker 4: The best definition of trust I've ever come across is 197 00:11:33,174 --> 00:11:37,174 Speaker 4: that trust is a confident relationship with the unknown, and 198 00:11:37,214 --> 00:11:39,694 Speaker 4: oftentimes the way for us to get from the known 199 00:11:39,814 --> 00:11:43,574 Speaker 4: to the unknown is through storytelling, which these influences are 200 00:11:43,614 --> 00:11:46,334 Speaker 4: an example of. And it's amazing at the moment to 201 00:11:46,374 --> 00:11:51,134 Speaker 4: see just how the boundary between what's real and what's 202 00:11:51,294 --> 00:11:54,414 Speaker 4: synthetic or unreal virtual is now. 203 00:11:54,294 --> 00:11:55,294 Speaker 3: Really really blurring. 204 00:11:55,974 --> 00:12:00,094 Speaker 4: Early days, it's all experimentation at this stage. There's a 205 00:12:00,134 --> 00:12:03,174 Speaker 4: forebear in my Future of Space called Roy Amara who 206 00:12:03,174 --> 00:12:07,934 Speaker 4: says that humans tend to overestimate the impact of new 207 00:12:07,934 --> 00:12:11,414 Speaker 4: technologies in the short term, but we underestimate them in 208 00:12:11,454 --> 00:12:14,094 Speaker 4: the longer term. Now, I would challenge him here a 209 00:12:14,174 --> 00:12:16,814 Speaker 4: little bit and say that, hey, we actually must not 210 00:12:17,014 --> 00:12:20,454 Speaker 4: underestimate the power and the exponentiality of AI, either in 211 00:12:20,494 --> 00:12:21,174 Speaker 4: the short. 212 00:12:20,974 --> 00:12:22,694 Speaker 3: Term or in the long term. 213 00:12:22,814 --> 00:12:26,054 Speaker 4: This is profound and it's skewing our ideal of what's 214 00:12:26,134 --> 00:12:26,934 Speaker 4: actually real. 215 00:12:27,454 --> 00:12:30,574 Speaker 1: Now, there was a survey done recently that found Australian 216 00:12:30,614 --> 00:12:34,174 Speaker 1: businesses up to a third of them already using AI 217 00:12:34,294 --> 00:12:37,734 Speaker 1: and doing so without actually acknowledging that to their customers. 218 00:12:38,054 --> 00:12:41,654 Speaker 1: So the federal government is trying to introduce voluntary standards 219 00:12:41,694 --> 00:12:44,014 Speaker 1: to make sure that people are aware of when businesses 220 00:12:44,054 --> 00:12:47,134 Speaker 1: are using AI, but they're voluntary. Do you think that 221 00:12:47,174 --> 00:12:47,934 Speaker 1: goes far enough? 222 00:12:48,334 --> 00:12:50,134 Speaker 3: I don't think it goes far enough. 223 00:12:50,214 --> 00:12:54,294 Speaker 4: I mean we already know just from marketing to the 224 00:12:54,654 --> 00:12:57,774 Speaker 4: vulnerable parts of our society like children, for example, there's 225 00:12:57,814 --> 00:13:01,454 Speaker 4: certain things that you can't advertise on Bluey for example. 226 00:13:01,494 --> 00:13:04,854 Speaker 4: You know, animated characters can't do certain things. We've had 227 00:13:05,174 --> 00:13:08,894 Speaker 4: issues with disclosure around Photoshop. Now AI is going to 228 00:13:08,934 --> 00:13:12,454 Speaker 4: throw fuel onto fire of these debates, and there are 229 00:13:12,494 --> 00:13:17,374 Speaker 4: already initiatives at play globally from big players like Adobe 230 00:13:17,414 --> 00:13:21,894 Speaker 4: and Google and Microsoft to push companies into disclosing when 231 00:13:22,294 --> 00:13:26,254 Speaker 4: content is synthetically generated. Now, the forecast by one of 232 00:13:26,374 --> 00:13:30,254 Speaker 4: Joe Biden's cyber advisors, Nina di Schick, is that by 233 00:13:30,454 --> 00:13:34,094 Speaker 4: January next year, this is in twenty twenty five, ninety 234 00:13:34,094 --> 00:13:39,534 Speaker 4: percent of content online will be synthetically generated. That places 235 00:13:39,734 --> 00:13:42,894 Speaker 4: a lot of questions on ethics in a year of 236 00:13:42,974 --> 00:13:44,214 Speaker 4: international elections. 237 00:13:44,294 --> 00:13:46,774 Speaker 3: Again, what's news? What's fake news? 238 00:13:46,974 --> 00:13:48,934 Speaker 4: And at the end of the day, it seems, with 239 00:13:49,014 --> 00:13:51,654 Speaker 4: these digital influences, and you know, the likes of Little 240 00:13:51,694 --> 00:13:55,534 Speaker 4: Mikaela for example, having two point five million plus followers, 241 00:13:55,574 --> 00:14:00,854 Speaker 4: that humans are actually opting into the fake very very willingly. 242 00:14:01,134 --> 00:14:03,134 Speaker 3: And this is kind of concerning. 243 00:14:02,974 --> 00:14:05,014 Speaker 1: How AI is trained, right, And a lot of it 244 00:14:05,054 --> 00:14:08,934 Speaker 1: comes from vast ways of information across the Internet. But 245 00:14:09,654 --> 00:14:14,774 Speaker 1: with that information comes gender bias, sexism, body type expectations, 246 00:14:14,974 --> 00:14:17,134 Speaker 1: a lot of the things that women have traditionally been 247 00:14:17,134 --> 00:14:21,414 Speaker 1: told to force themselves into a thinner, prettier package. What 248 00:14:21,654 --> 00:14:24,854 Speaker 1: problematic issues do we see with the influence that AI 249 00:14:24,974 --> 00:14:27,494 Speaker 1: potentially have on young women when all this bias comes 250 00:14:27,534 --> 00:14:28,534 Speaker 1: with its learning. 251 00:14:28,814 --> 00:14:32,414 Speaker 4: We hear song lyrics like perfect imperfections, etc. But then 252 00:14:32,454 --> 00:14:35,334 Speaker 4: what we see in our Instagram feeds or TikTok feeds 253 00:14:35,454 --> 00:14:36,334 Speaker 4: is very very different. 254 00:14:36,454 --> 00:14:36,734 Speaker 3: Right. 255 00:14:36,894 --> 00:14:40,094 Speaker 4: We already know from certain studies, like from algorithm Watch, 256 00:14:40,134 --> 00:14:43,654 Speaker 4: for example, that women in undergarments or in bikinis are 257 00:14:43,654 --> 00:14:46,974 Speaker 4: fifty five percent more likely to appear in your news 258 00:14:47,054 --> 00:14:50,814 Speaker 4: feed and that pictures of food and natural landscapes are 259 00:14:50,814 --> 00:14:54,054 Speaker 4: sixty percent less likely to appear. So again, if we 260 00:14:54,054 --> 00:14:56,854 Speaker 4: were worried about the impacts of photoshop back in the 261 00:14:57,094 --> 00:15:00,174 Speaker 4: good old days, as it were, again AI is going 262 00:15:00,214 --> 00:15:02,574 Speaker 4: to throw a fuel on fire in terms of body 263 00:15:02,654 --> 00:15:06,614 Speaker 4: dysmorphia and other things, because of course these AI generated 264 00:15:06,894 --> 00:15:10,014 Speaker 4: images and videos, et cetera are just such an unreal 265 00:15:10,054 --> 00:15:13,294 Speaker 4: expectation of what body types should look like. So I 266 00:15:13,294 --> 00:15:15,494 Speaker 4: think the question is how do we actually create better 267 00:15:15,774 --> 00:15:19,654 Speaker 4: digital nutrition and better digital provenance with all of the 268 00:15:19,654 --> 00:15:23,374 Speaker 4: digital content that we create. Digital content is someone else's 269 00:15:23,414 --> 00:15:27,774 Speaker 4: brain chemistry wrapped in story and narrative. And as creators 270 00:15:28,014 --> 00:15:31,774 Speaker 4: and as brands create more and more synthetic content, they 271 00:15:31,814 --> 00:15:36,014 Speaker 4: are responsible for the brain chemistry that they enlist and 272 00:15:36,134 --> 00:15:40,494 Speaker 4: create nudge at the end of the consumption line, so 273 00:15:40,614 --> 00:15:42,894 Speaker 4: to speak, for the end consumer. And I think that 274 00:15:42,934 --> 00:15:45,534 Speaker 4: comes with a lot of responsibility, which is why brands 275 00:15:45,574 --> 00:15:47,174 Speaker 4: should be focusing increasingly on. 276 00:15:47,134 --> 00:15:49,574 Speaker 3: Digital nutrition that is actually good for us. 277 00:15:49,654 --> 00:15:53,014 Speaker 4: Think the likes of Headspace or the Waking Up app 278 00:15:53,094 --> 00:15:56,494 Speaker 4: or the open app that can actually create mindful spaces 279 00:15:56,574 --> 00:16:00,814 Speaker 4: and calm, which we also know don't necessarily sell product 280 00:16:01,294 --> 00:16:03,494 Speaker 4: but we're living in a world and we're playing with 281 00:16:03,534 --> 00:16:05,454 Speaker 4: a lot of AI fire here at the moment. 282 00:16:05,854 --> 00:16:07,574 Speaker 1: I think you touched on something before when you said 283 00:16:07,614 --> 00:16:10,294 Speaker 1: that in the not too distant future, the majority of 284 00:16:10,294 --> 00:16:14,214 Speaker 1: the Internet is going to be created synthetically. Have we 285 00:16:14,454 --> 00:16:16,414 Speaker 1: reached the end of the golden age of the Internet 286 00:16:16,494 --> 00:16:21,094 Speaker 1: where humans created the content? Are we ready to let 287 00:16:21,134 --> 00:16:25,174 Speaker 1: go of that and have say, AI influencers become the norm. 288 00:16:25,694 --> 00:16:27,414 Speaker 4: I think it's too early to say that this is 289 00:16:27,454 --> 00:16:29,654 Speaker 4: going to be the norm, because it is the early 290 00:16:29,734 --> 00:16:32,934 Speaker 4: days of the AI dawn, it's the early hours of it. 291 00:16:33,134 --> 00:16:36,254 Speaker 4: And I think what we're already seeing to a degree, 292 00:16:36,494 --> 00:16:40,094 Speaker 4: given some of the initiatives from Adobe, Microsoft, Google, et cetera, 293 00:16:40,254 --> 00:16:43,894 Speaker 4: to have almost like an organic stamp on real content 294 00:16:44,014 --> 00:16:46,734 Speaker 4: versus synthetic content. I think with all of that, we're 295 00:16:46,774 --> 00:16:48,614 Speaker 4: going to also see over time a little bit of 296 00:16:48,654 --> 00:16:52,454 Speaker 4: a counter movement, a counter trend towards very authentic, very real, 297 00:16:52,734 --> 00:16:57,094 Speaker 4: very unscripted, human provenance as well. And I think this 298 00:16:57,254 --> 00:16:59,814 Speaker 4: is always the trend when things get more and more synthetic, 299 00:16:59,814 --> 00:17:02,574 Speaker 4: when it becomes easier and easier to smash out content 300 00:17:03,014 --> 00:17:07,574 Speaker 4: every hour of the day, real human analog signal is 301 00:17:07,614 --> 00:17:09,374 Speaker 4: also really going to connect in a world of the 302 00:17:09,574 --> 00:17:13,854 Speaker 4: increasing digital noise. We're already seeing that with the A 303 00:17:14,054 --> 00:17:18,574 Speaker 4: Triple C and other regulators asking for disclosure and regulating 304 00:17:18,694 --> 00:17:21,574 Speaker 4: the use of AI and marketing and all the rest. 305 00:17:21,774 --> 00:17:23,414 Speaker 3: We're already also seeing. 306 00:17:23,174 --> 00:17:27,214 Speaker 4: That AI generated content on LinkedIn and Instagram, et cetera. 307 00:17:27,574 --> 00:17:31,174 Speaker 4: It's actually trending south because of course the AI engines 308 00:17:31,214 --> 00:17:35,134 Speaker 4: within Instagram and LinkedIn and TikTok et cetera generate. They 309 00:17:35,134 --> 00:17:39,174 Speaker 4: can see whether something is synthetically generated and may actually. 310 00:17:38,854 --> 00:17:40,174 Speaker 3: Seem less authentic. 311 00:17:40,214 --> 00:17:43,134 Speaker 4: And we know authenticity is also something that connects with 312 00:17:43,374 --> 00:17:45,574 Speaker 4: human digital minds and analog hearts. 313 00:17:46,774 --> 00:17:48,894 Speaker 1: What message, then, should we be sending to brands who 314 00:17:48,974 --> 00:17:52,774 Speaker 1: are exploring the use of AI influencers right now, because 315 00:17:53,214 --> 00:17:56,014 Speaker 1: for them, there's a lot of control around their brand. 316 00:17:56,454 --> 00:17:59,414 Speaker 1: Their AI influencers not going to go to a party 317 00:17:59,414 --> 00:18:01,814 Speaker 1: and get drunk and do something stupid. You know, they 318 00:18:02,294 --> 00:18:05,014 Speaker 1: absolutely have control of their messaging and it seems to 319 00:18:05,094 --> 00:18:08,014 Speaker 1: be cost effective for them as well. So it's an 320 00:18:08,054 --> 00:18:11,014 Speaker 1: easy choice. But what said she would be sending brands 321 00:18:11,014 --> 00:18:13,094 Speaker 1: when we are still looking for authenticity. 322 00:18:13,614 --> 00:18:17,094 Speaker 4: I think it's important to see that value still translate 323 00:18:17,334 --> 00:18:20,294 Speaker 4: virtual ether and the digital ether. So if a brand 324 00:18:20,774 --> 00:18:25,494 Speaker 4: like Duve, for example, if they're into body positivity and diversity, 325 00:18:25,574 --> 00:18:29,534 Speaker 4: for example, that these things carry through to their digital 326 00:18:29,574 --> 00:18:33,574 Speaker 4: avatars and they don't just rely on the databased metrics. 327 00:18:33,614 --> 00:18:37,294 Speaker 4: Because we know that humans don't necessarily consume what's good 328 00:18:37,334 --> 00:18:40,094 Speaker 4: for us, some of us for a digital nutrition that 329 00:18:40,134 --> 00:18:44,014 Speaker 4: in fact can cause us anxiety or depression, et cetera. 330 00:18:44,534 --> 00:18:46,574 Speaker 4: And I think it comes with a lot of responsibility 331 00:18:46,614 --> 00:18:50,094 Speaker 4: for brands when they're choosing to nudge and to shape 332 00:18:50,254 --> 00:18:54,254 Speaker 4: their digital avatars or their digital influences. So making sure 333 00:18:54,294 --> 00:18:57,174 Speaker 4: that the values of the brands carry across, be that 334 00:18:57,254 --> 00:18:59,974 Speaker 4: more evaceous type or you know, something that feels a 335 00:18:59,974 --> 00:19:02,414 Speaker 4: bit more real and that might be more aligned to 336 00:19:02,494 --> 00:19:05,814 Speaker 4: the average sizing of the Australian woman, for example. These 337 00:19:05,854 --> 00:19:08,574 Speaker 4: things are going to be important because you know, again 338 00:19:09,094 --> 00:19:13,654 Speaker 4: a high will otherwise throw fuel ont fire of the 339 00:19:13,654 --> 00:19:17,934 Speaker 4: photoshop led dysmorphia that we've been talking about for years now. 340 00:19:19,254 --> 00:19:22,654 Speaker 1: The future of influencers may be artificial, but its impact 341 00:19:22,654 --> 00:19:25,614 Speaker 1: on our world will be very real. As we navigate 342 00:19:25,654 --> 00:19:29,454 Speaker 1: this new frontier, it'll be crucial to establish ethical guidelines 343 00:19:29,494 --> 00:19:32,614 Speaker 1: and transparency measures to ensure that the rise of AI 344 00:19:32,734 --> 00:19:37,694 Speaker 1: influencers benefits not just brands, but US consumers too. Thanks 345 00:19:37,694 --> 00:19:39,734 Speaker 1: for taking some time to feed your mind with us today. 346 00:19:39,774 --> 00:19:42,414 Speaker 1: The quickie is produced by me Claire Murphy and our 347 00:19:42,454 --> 00:19:45,814 Speaker 1: senior producer Taylor Strano, with audio production by Louhil