1 00:00:10,614 --> 00:00:15,254 Speaker 1: You're listening to a Muma Mia podcast. Mumma Mea acknowledges 2 00:00:15,334 --> 00:00:18,134 Speaker 1: the traditional owners of land and waters that this podcast 3 00:00:18,214 --> 00:00:18,974 Speaker 1: is recorded on. 4 00:00:21,854 --> 00:00:25,014 Speaker 2: Hey, I'm Taylor Strano. This is Mumma MIA's twice daily 5 00:00:25,094 --> 00:00:29,494 Speaker 2: news podcast. The Quickie fashion brands are using AI to 6 00:00:29,534 --> 00:00:32,494 Speaker 2: sell you their latest looks. So is this the future 7 00:00:32,534 --> 00:00:36,014 Speaker 2: of shopping or does it break your trust? Plus the 8 00:00:36,054 --> 00:00:39,854 Speaker 2: infamous outback killer Bradley John Murdock has died this week, 9 00:00:40,094 --> 00:00:42,854 Speaker 2: still holding on to the biggest secret of his crime. 10 00:00:43,934 --> 00:00:45,654 Speaker 2: Before we get to all of that, he is Clare 11 00:00:45,694 --> 00:00:48,574 Speaker 2: Murphy with the latest from the QUICKI Newsroom. Four Thursday, 12 00:00:48,734 --> 00:00:50,094 Speaker 2: July seventeen. 13 00:00:50,334 --> 00:00:54,214 Speaker 1: Thanks Taylor. Accused murderer Lachlan Young claims his ex girlfriend 14 00:00:54,294 --> 00:00:56,454 Speaker 1: hit her head on the floor and died after one 15 00:00:56,494 --> 00:01:00,174 Speaker 1: of their arguments became physical. Lachland Young's barrister made the 16 00:01:00,214 --> 00:01:04,094 Speaker 1: allegation as he questioned witness Benjamin O'Keeffe, Young's co worker 17 00:01:04,134 --> 00:01:07,694 Speaker 1: and friend, over his involvement in Hannah Maguire's death. The 18 00:01:07,734 --> 00:01:10,054 Speaker 1: body of the twenty three year old primary score teacher 19 00:01:10,094 --> 00:01:12,334 Speaker 1: found in a burnt out car in remote bush Land 20 00:01:12,414 --> 00:01:15,494 Speaker 1: after she was killed on April four last year. Young 21 00:01:15,574 --> 00:01:18,414 Speaker 1: has admitted he did kill miss McGuire, but denies he 22 00:01:18,494 --> 00:01:22,094 Speaker 1: murdered her, instead offering to plead guilty to manslaughter, that 23 00:01:22,214 --> 00:01:25,334 Speaker 1: offer was rejected by prosecutors. At the start of his trial, 24 00:01:25,694 --> 00:01:28,534 Speaker 1: mister O'Keefe told the Victorian Supreme Court that he saw 25 00:01:28,654 --> 00:01:32,054 Speaker 1: Young set fire to Amitsubishi triton early on April five, 26 00:01:32,134 --> 00:01:36,014 Speaker 1: twenty twenty four, and later learned miss McGuire's body was inside, 27 00:01:36,134 --> 00:01:39,614 Speaker 1: but Barrister Glenn Casement claims O'Keefe knew the young woman's 28 00:01:39,614 --> 00:01:42,294 Speaker 1: body was in the ute because Young had told him 29 00:01:42,334 --> 00:01:45,694 Speaker 1: she was dead. Casement said Young called O'Keefe at just 30 00:01:45,734 --> 00:01:48,694 Speaker 1: before three am on April five to say something had happened, 31 00:01:48,934 --> 00:01:51,894 Speaker 1: and when he allegedly arrived at the home in Regional Victoria, 32 00:01:52,254 --> 00:01:55,854 Speaker 1: Young explained he'd forcibly pushed his ex girlfriend during an argument. 33 00:01:56,254 --> 00:01:59,614 Speaker 1: Mister Casement claims O'Keefe saw miss McGuire on the floor 34 00:01:59,814 --> 00:02:02,294 Speaker 1: and devised a plan with Young to move her body 35 00:02:02,374 --> 00:02:05,654 Speaker 1: to Scarsdale. The lawyer alleged the pair drove in convoy 36 00:02:05,734 --> 00:02:08,974 Speaker 1: to the remote bushland, and when they arrived, Casement claims 37 00:02:08,974 --> 00:02:11,294 Speaker 1: O'Keefe was the one to set fire to the Triton 38 00:02:11,374 --> 00:02:14,494 Speaker 1: using his own blowtorch, and then lied about his involvement 39 00:02:14,534 --> 00:02:17,934 Speaker 1: to avoid being charged as an accessory to murder. O'Keeffe 40 00:02:17,974 --> 00:02:21,454 Speaker 1: was arrested and questioned over miss McGuire's death, but never charged. 41 00:02:21,734 --> 00:02:25,254 Speaker 1: He denies all the defense allegations, repeatedly saying he never 42 00:02:25,294 --> 00:02:28,014 Speaker 1: went to Young's home and did not know miss McGuire's 43 00:02:28,054 --> 00:02:31,414 Speaker 1: body was in the ute. Harry potterstar Emma Watson has 44 00:02:31,414 --> 00:02:35,094 Speaker 1: been banned from driving for six months after being caught speeding. Watson, 45 00:02:35,134 --> 00:02:37,974 Speaker 1: who played Hermione Granger in the film franchise, was snap 46 00:02:38,094 --> 00:02:40,574 Speaker 1: driving at sixty one kilometers an hour in a forty 47 00:02:40,574 --> 00:02:43,214 Speaker 1: eight kilometer zone in Oxford on the evening of July 48 00:02:43,334 --> 00:02:46,054 Speaker 1: thirty one, twenty twenty four. The thirty five year old, 49 00:02:46,054 --> 00:02:49,454 Speaker 1: who's currently studying at Oxford University, was ordered to pay 50 00:02:49,494 --> 00:02:52,134 Speaker 1: a two than one hundred and forty four dollar fine, 51 00:02:52,294 --> 00:02:55,094 Speaker 1: and because Watson already has nine points on her license 52 00:02:55,174 --> 00:02:58,174 Speaker 1: before the speeding incident occurred, she lost her license for 53 00:02:58,214 --> 00:03:01,014 Speaker 1: six months. She did not attend the five minute hearing, 54 00:03:01,134 --> 00:03:03,574 Speaker 1: her lawyer saying despite being a student, she was in 55 00:03:03,614 --> 00:03:07,094 Speaker 1: a position to pay the fine. Actress Lapidin Jongo has 56 00:03:07,134 --> 00:03:10,534 Speaker 1: revealed she was diagnosed with uterine fibroids after suffering in 57 00:03:10,574 --> 00:03:13,174 Speaker 1: silence for more than a decade. The forty two year 58 00:03:13,174 --> 00:03:16,374 Speaker 1: old was told she had the condition, which sees noncancerous 59 00:03:16,414 --> 00:03:19,854 Speaker 1: growths develop in or around the uterus eleven years ago, 60 00:03:19,974 --> 00:03:22,214 Speaker 1: and has opened up on Instagram over a series of 61 00:03:22,214 --> 00:03:25,294 Speaker 1: photos where she wrote, in March twenty fourteen, I won 62 00:03:25,334 --> 00:03:28,494 Speaker 1: an Academy Award. That same year, I discovered I had 63 00:03:28,614 --> 00:03:31,854 Speaker 1: uterine fibroids, thirty of them. She goes on to say 64 00:03:31,894 --> 00:03:34,254 Speaker 1: she had surgery to remove them, after which she asked 65 00:03:34,294 --> 00:03:36,214 Speaker 1: the doctor if there was anything she could do to 66 00:03:36,254 --> 00:03:38,854 Speaker 1: prevent them from recurring, only to be told there was 67 00:03:38,894 --> 00:03:40,814 Speaker 1: nothing and that it was only a matter of time 68 00:03:40,854 --> 00:03:44,294 Speaker 1: before they grow back again. She explained that uterine fibroids 69 00:03:44,294 --> 00:03:46,094 Speaker 1: can range from the size of a pea to as 70 00:03:46,134 --> 00:03:48,934 Speaker 1: large as a melon, and can cause heavy menstrual bleeding 71 00:03:48,934 --> 00:03:53,414 Speaker 1: and anemia, pelvic pain, frequent urination, and complications with pregnancy. 72 00:03:53,934 --> 00:03:56,254 Speaker 1: Nyongo explained that she was shocked at how little the 73 00:03:56,294 --> 00:03:59,574 Speaker 1: issue was discussed, despite fibroids affecting eight out of ten 74 00:03:59,614 --> 00:04:02,334 Speaker 1: Black women and seven out of ten white women. She 75 00:04:02,454 --> 00:04:05,574 Speaker 1: ended by saying no more suffering in silence. We must 76 00:04:05,614 --> 00:04:09,414 Speaker 1: reject the normalization of female pain. There are reports Saturday 77 00:04:09,814 --> 00:04:12,974 Speaker 1: Lifestyle Pete Davidson is about to become a dad, as 78 00:04:12,974 --> 00:04:16,494 Speaker 1: sources tell people that Davidson and girlfriend model Elsie Hewitt 79 00:04:16,494 --> 00:04:20,494 Speaker 1: are expecting their first child together, Hewitt posting on Instagram, welp, 80 00:04:20,614 --> 00:04:23,414 Speaker 1: now everyone knows we had sex. The pair was spotted 81 00:04:23,454 --> 00:04:25,654 Speaker 1: together in March swimming and kissing in the waters off 82 00:04:25,694 --> 00:04:28,294 Speaker 1: Palm Beach in Florida. They moved in together two months 83 00:04:28,374 --> 00:04:31,214 Speaker 1: later in New York. That's your latest news headlines, and 84 00:04:31,254 --> 00:04:33,334 Speaker 1: if you're after more celebrity news, head to the link 85 00:04:33,374 --> 00:04:36,134 Speaker 1: in our show notes for the spills daily entertainment headlines. 86 00:04:36,414 --> 00:04:45,094 Speaker 2: Thanks Claire. Next, AI takes over your online wardrobe. If 87 00:04:45,094 --> 00:04:48,014 Speaker 2: you've been shopping online lately, there's every chance you've been 88 00:04:48,054 --> 00:04:51,494 Speaker 2: adding AI models in your shopping cart without even knowing it. 89 00:04:52,134 --> 00:04:54,934 Speaker 2: Allow me to explain. It all started with a simple 90 00:04:54,974 --> 00:04:58,334 Speaker 2: Reddit post. A shopper spotted a dress from Melbourne based 91 00:04:58,374 --> 00:05:02,294 Speaker 2: label Artois on the iconic and notice something wasn't quite 92 00:05:02,414 --> 00:05:04,894 Speaker 2: right with the model. A closer look at the product 93 00:05:04,894 --> 00:05:06,134 Speaker 2: description confirmed it. 94 00:05:06,534 --> 00:05:10,374 Speaker 1: E commerce imagery has been created using artificial intelligence technology 95 00:05:10,494 --> 00:05:12,374 Speaker 1: and does not feature a real model. 96 00:05:13,054 --> 00:05:17,054 Speaker 2: The fifth, the pose, even the dress itself all AI generated. 97 00:05:17,894 --> 00:05:21,014 Speaker 2: It didn't take long for the backlash to brew. TikTok 98 00:05:21,054 --> 00:05:23,614 Speaker 2: picked up the story and soon it was all over 99 00:05:23,654 --> 00:05:24,094 Speaker 2: the media. 100 00:05:24,574 --> 00:05:27,494 Speaker 1: There is an Australian brand who is using AI generated 101 00:05:27,534 --> 00:05:30,534 Speaker 1: photos to sell their four hundred dollar dresses online and 102 00:05:30,574 --> 00:05:31,334 Speaker 1: I have thoughts. 103 00:05:31,814 --> 00:05:34,854 Speaker 2: Shoppers felt tricked, with some wondering how they're meant to 104 00:05:34,934 --> 00:05:37,294 Speaker 2: judge the fit without seeing it on a real person. 105 00:05:38,214 --> 00:05:42,014 Speaker 2: The criticism hits several nerves. Without real models, you can't 106 00:05:42,014 --> 00:05:45,734 Speaker 2: see how clothes drape, move, wrinkle or fit real bodies. 107 00:05:46,694 --> 00:05:50,494 Speaker 2: Many called it deceptive and said it undermines not just trust, 108 00:05:50,734 --> 00:05:55,214 Speaker 2: but actual jobs for models, photographers and creatives in Australia 109 00:05:55,414 --> 00:06:00,014 Speaker 2: and beyond. Previously, Attoire's founder has said AI speeds things 110 00:06:00,094 --> 00:06:03,694 Speaker 2: up and brings down costs for small brands, admitting it's 111 00:06:03,694 --> 00:06:07,814 Speaker 2: not feasible to shoot every style on real people. The Iconic, 112 00:06:07,894 --> 00:06:10,734 Speaker 2: which stocks the brand and dozens of other labels, hasn't 113 00:06:10,734 --> 00:06:14,054 Speaker 2: commented officially, but the wave of AI fashion is only 114 00:06:14,094 --> 00:06:18,694 Speaker 2: growing globally. They're not alone Spanish giant Mango, which you've 115 00:06:18,694 --> 00:06:22,094 Speaker 2: probably seen stylized as MNG when it launched an entire 116 00:06:22,174 --> 00:06:26,574 Speaker 2: teamline campaign shot using nothing but AI generated models. Their 117 00:06:26,614 --> 00:06:29,694 Speaker 2: tech team trained AI to drape real photograph garmens on 118 00:06:29,814 --> 00:06:33,294 Speaker 2: virtual bodies, fine tuning every detail to mimic a high 119 00:06:33,374 --> 00:06:38,054 Speaker 2: end editorial shoot. The company says it lets them create faster, cheaper, 120 00:06:38,174 --> 00:06:43,094 Speaker 2: and more varied content and even helps design new collections. Again, 121 00:06:43,614 --> 00:06:44,974 Speaker 2: it was met with criticism. 122 00:06:45,174 --> 00:06:48,974 Speaker 3: Mango just put out a fully AI generated campaign. I 123 00:06:49,014 --> 00:06:52,094 Speaker 3: am terrified for young women as a former model myself, 124 00:06:52,214 --> 00:06:54,974 Speaker 3: the fact that this model is not a real person 125 00:06:55,094 --> 00:06:58,454 Speaker 3: has never been a real person. Beauty standards young women 126 00:06:58,454 --> 00:07:00,974 Speaker 3: are about to be held to are not even of 127 00:07:01,014 --> 00:07:04,294 Speaker 3: real people who have ever existed. I also find it 128 00:07:04,334 --> 00:07:07,614 Speaker 3: really sus that the first EI generated campaigns seem to 129 00:07:07,654 --> 00:07:12,734 Speaker 3: always be like an ethnically ambiguous super skinny model, but 130 00:07:12,854 --> 00:07:16,254 Speaker 3: experts one there's more than just jobs or efficiency on 131 00:07:16,334 --> 00:07:19,334 Speaker 3: the line. Consumer trust takes a hit if the model 132 00:07:19,494 --> 00:07:22,534 Speaker 3: you're judging a four hundred dollars dress on is an algorithm, 133 00:07:22,534 --> 00:07:23,174 Speaker 3: not a person. 134 00:07:24,134 --> 00:07:27,294 Speaker 2: Some researchers say buyers are less likely to click ad 135 00:07:27,294 --> 00:07:30,694 Speaker 2: to kat if they feel misled and there's that emotional 136 00:07:30,694 --> 00:07:33,774 Speaker 2: connection with a real person a sense of authenticity, a 137 00:07:33,894 --> 00:07:37,974 Speaker 2: story that AI just can't replicate yet. To help us 138 00:07:38,014 --> 00:07:40,654 Speaker 2: figure out where this is headed and if we should 139 00:07:40,654 --> 00:07:43,334 Speaker 2: care that our next party dress is modeled by a machine. 140 00:07:43,374 --> 00:07:47,214 Speaker 2: We're joined by AI expert doctor Nikki Swainey Nikki, is 141 00:07:47,254 --> 00:07:48,294 Speaker 2: this false advertising? 142 00:07:48,974 --> 00:07:51,414 Speaker 4: In all honesty? I think we kind of exist in 143 00:07:51,454 --> 00:07:56,494 Speaker 4: the murky interim between the human age and an AI 144 00:07:57,054 --> 00:08:00,734 Speaker 4: flash human age, And I think people's susception of what 145 00:08:00,814 --> 00:08:03,854 Speaker 4: is false advertising or what is a true representation or 146 00:08:03,854 --> 00:08:06,774 Speaker 4: what is authentic two years, five years, that'll learn ten 147 00:08:06,814 --> 00:08:08,334 Speaker 4: years time is going to be very different how we 148 00:08:08,334 --> 00:08:10,654 Speaker 4: can find it right now, I personally find it a 149 00:08:10,694 --> 00:08:13,774 Speaker 4: difficult question to answer, because in all honesty, when I 150 00:08:13,854 --> 00:08:16,454 Speaker 4: look at the future, it will be very very common 151 00:08:16,534 --> 00:08:20,814 Speaker 4: that we are being presented with human material AI material, 152 00:08:21,334 --> 00:08:23,334 Speaker 4: some sort of cross between the two, and no one 153 00:08:23,414 --> 00:08:26,734 Speaker 4: will think that that is misleading anymore, just like we've 154 00:08:26,774 --> 00:08:29,414 Speaker 4: kind of adapted to tech in the ages, and now 155 00:08:29,454 --> 00:08:31,374 Speaker 4: we find a lot of those things that will want 156 00:08:31,454 --> 00:08:33,654 Speaker 4: sci fi very very normal in our day day life. Now, 157 00:08:34,094 --> 00:08:38,014 Speaker 4: if I have to answer, I don't think it's false advertising. 158 00:08:38,534 --> 00:08:42,174 Speaker 4: That's probably different to the overall ethical issue around it, 159 00:08:42,494 --> 00:08:44,734 Speaker 4: But yeah, I'm going to call it. No, I don't 160 00:08:44,734 --> 00:08:45,174 Speaker 4: think it is. 161 00:08:45,694 --> 00:08:49,134 Speaker 2: My initial reaction was an outrage. It was actually, Oh, 162 00:08:49,214 --> 00:08:51,134 Speaker 2: in theory, this should be a good thing, right because 163 00:08:51,134 --> 00:08:53,654 Speaker 2: I should easily now with the use of AI and 164 00:08:53,694 --> 00:08:55,694 Speaker 2: the application of it, I should be able to see 165 00:08:55,694 --> 00:08:57,974 Speaker 2: the clothes that I want to buy on all different 166 00:08:58,014 --> 00:09:02,294 Speaker 2: body sizes, shapes and sizes, because traditionally, usually clothing is 167 00:09:02,294 --> 00:09:05,374 Speaker 2: only photographed on one very specific type of body, and 168 00:09:05,414 --> 00:09:07,534 Speaker 2: it's hard for those of us who aren't that standard 169 00:09:07,574 --> 00:09:11,174 Speaker 2: sizing to envision what it'll look psych on ourselves. So 170 00:09:11,214 --> 00:09:13,734 Speaker 2: why are we seeing more fashion brands start to use 171 00:09:13,814 --> 00:09:17,374 Speaker 2: AI generated models and images maybe instead of real people. 172 00:09:17,854 --> 00:09:20,454 Speaker 4: There's lots of different reasons. It depends, and I'm sure 173 00:09:20,494 --> 00:09:23,454 Speaker 4: every brand has their own reasons why they're kind of 174 00:09:23,454 --> 00:09:26,574 Speaker 4: going down that avenue. But the key sorts of things 175 00:09:26,614 --> 00:09:29,174 Speaker 4: are I mean, obviously the big one is cost. If 176 00:09:29,214 --> 00:09:32,254 Speaker 4: you can generate lots of different types of models in 177 00:09:32,334 --> 00:09:35,654 Speaker 4: lots of different clothing very very quickly, and you can 178 00:09:35,694 --> 00:09:37,294 Speaker 4: do it whenever you feel like doing it, and not 179 00:09:37,414 --> 00:09:39,934 Speaker 4: when the photoshoot is ready or when you've been able 180 00:09:39,974 --> 00:09:43,334 Speaker 4: to do the model casting, this doesn't suggest that reduces 181 00:09:43,454 --> 00:09:46,494 Speaker 4: costs way up to about seventy five percent, So I 182 00:09:46,534 --> 00:09:49,134 Speaker 4: think when we're looking from just a business perspective, that's 183 00:09:49,174 --> 00:09:52,734 Speaker 4: a huge, huge incentive for businesses to go down the 184 00:09:52,774 --> 00:09:55,774 Speaker 4: AI kind of route. The other thing is that there 185 00:09:55,854 --> 00:09:59,174 Speaker 4: are virtual influences now that have a huge amount of reach. 186 00:09:59,454 --> 00:10:04,134 Speaker 4: So there are AI influencers that have millions of online followers. 187 00:10:04,174 --> 00:10:07,974 Speaker 4: So if you're also contracting AI generated people to model 188 00:10:08,014 --> 00:10:10,694 Speaker 4: your clothing, that's a huge audience that you could potentially 189 00:10:10,694 --> 00:10:14,454 Speaker 4: be exposed to without human mendiness that comes with human 190 00:10:14,574 --> 00:10:18,734 Speaker 4: influences as well, and the speed as well, So particularly 191 00:10:18,734 --> 00:10:22,414 Speaker 4: in this kind of fast fashion era, we can launch 192 00:10:22,454 --> 00:10:25,774 Speaker 4: AI campaigns in a matter of hours or days rather 193 00:10:26,254 --> 00:10:29,134 Speaker 4: than weeks or traditional kind of seasons that we may 194 00:10:29,174 --> 00:10:31,814 Speaker 4: have seen and associated with fashion brands in the past. 195 00:10:32,294 --> 00:10:34,774 Speaker 4: The other element is what you've just kind of mentioned 196 00:10:34,774 --> 00:10:38,654 Speaker 4: that inclusion and diversity. We can now not necessarily be 197 00:10:38,694 --> 00:10:41,614 Speaker 4: bound by how people actually look or people that call 198 00:10:41,654 --> 00:10:44,694 Speaker 4: themselves models and show up to the casting shoots. We 199 00:10:44,734 --> 00:10:49,094 Speaker 4: can actually choose different combinations of different types of body 200 00:10:49,094 --> 00:10:52,294 Speaker 4: types and ethnicities and heights and weights and genders and 201 00:10:52,334 --> 00:10:55,654 Speaker 4: expressions of self that maybe we're much tricky for fashion 202 00:10:55,694 --> 00:10:58,174 Speaker 4: brands to get their hands on before. So I think 203 00:10:58,214 --> 00:11:00,414 Speaker 4: some of those are really kind of virtuous endeavors. I 204 00:11:00,454 --> 00:11:03,894 Speaker 4: think obviously inclusion and diversity is fantastic. The idea that 205 00:11:03,934 --> 00:11:06,934 Speaker 4: we could see clothing on our real bodies in real 206 00:11:06,974 --> 00:11:10,574 Speaker 4: time in three D and br scenario where would be 207 00:11:10,654 --> 00:11:13,054 Speaker 4: really cool and would be an advantage for the consumer. 208 00:11:13,654 --> 00:11:16,134 Speaker 4: But on the flip side, obviously we have real people 209 00:11:16,214 --> 00:11:18,214 Speaker 4: missing out on real opportunities, and I think that's where 210 00:11:18,254 --> 00:11:19,854 Speaker 4: some of that negative impact comes in. 211 00:11:20,374 --> 00:11:23,134 Speaker 2: Yeah, it's an ethical type rope, like you said before, right, 212 00:11:23,174 --> 00:11:25,814 Speaker 2: because in theory, we're cutting costs, we should be able 213 00:11:25,854 --> 00:11:28,254 Speaker 2: to bring the prices down for customers if brands are 214 00:11:28,374 --> 00:11:31,214 Speaker 2: using AI, which I'm sure that we wouldn't complain about 215 00:11:31,214 --> 00:11:33,374 Speaker 2: given the cost of living at the moment. But then 216 00:11:33,414 --> 00:11:36,654 Speaker 2: on the other hand, there's that criticism that using AI 217 00:11:36,734 --> 00:11:41,894 Speaker 2: models takes jobs away from real models, from creatives, from photographers, stylists, 218 00:11:41,894 --> 00:11:46,054 Speaker 2: everyone who's involved in a traditional fashional campaign shoot. Is 219 00:11:46,094 --> 00:11:48,534 Speaker 2: that something that brands should be worrying about or definitely 220 00:11:48,574 --> 00:11:49,854 Speaker 2: something they should be weighing up. 221 00:11:50,454 --> 00:11:53,454 Speaker 4: I don't know whose responsibility that is two weigh up. 222 00:11:53,854 --> 00:11:56,494 Speaker 4: I personally kind of take the tack that this skill 223 00:11:56,574 --> 00:12:00,054 Speaker 4: realignment and upskilling people and finding new industries for people 224 00:12:00,094 --> 00:12:02,334 Speaker 4: to move into. That's a collective assignment, and that probably 225 00:12:02,414 --> 00:12:06,414 Speaker 4: comes from government as well as individual companies. I would, though, 226 00:12:06,414 --> 00:12:09,014 Speaker 4: probably argue, if you say that you're an ethical, responsible 227 00:12:09,174 --> 00:12:12,174 Speaker 4: company that care about the people and the world, you 228 00:12:12,214 --> 00:12:14,574 Speaker 4: should probably make it part of your business model to 229 00:12:14,694 --> 00:12:17,974 Speaker 4: actively think through what the implications are for this. When 230 00:12:18,014 --> 00:12:21,094 Speaker 4: we look at that, it's models across the board, right, 231 00:12:21,134 --> 00:12:23,254 Speaker 4: Like one of the fastest growing uses of AI is 232 00:12:23,294 --> 00:12:28,734 Speaker 4: generating AI's girlfriends, and that's taking money away from real 233 00:12:28,814 --> 00:12:32,374 Speaker 4: humans that some insiders make very very good livings out 234 00:12:32,374 --> 00:12:35,134 Speaker 4: of those sorts of industries. So we all of a 235 00:12:35,134 --> 00:12:38,454 Speaker 4: sudden have content creators. We have only fans people, we 236 00:12:38,534 --> 00:12:42,374 Speaker 4: have fashion models, we have YouTubers, all these sorts of 237 00:12:42,414 --> 00:12:46,574 Speaker 4: industries which have just been explosive over the last few decades, 238 00:12:47,134 --> 00:12:52,454 Speaker 4: at real risk of being outpaced and outstripped by AI 239 00:12:52,694 --> 00:12:54,774 Speaker 4: people that are able to produce a lot more for 240 00:12:54,814 --> 00:12:57,094 Speaker 4: a lot cheaper and in a lot of different ways. 241 00:12:57,294 --> 00:13:00,414 Speaker 4: So one person could own hundreds of AI personalities and 242 00:13:00,454 --> 00:13:04,614 Speaker 4: they're constantly generating whatever it is, pictures, videos, articles, talking 243 00:13:04,734 --> 00:13:08,574 Speaker 4: to camera, blogs, across the board, and very very soon 244 00:13:08,854 --> 00:13:11,094 Speaker 4: we achueming consumers probably won't be able to tell the 245 00:13:11,134 --> 00:13:11,734 Speaker 4: difference either. 246 00:13:12,374 --> 00:13:14,854 Speaker 2: Nikki, do you think the brands need to be more 247 00:13:14,894 --> 00:13:18,534 Speaker 2: open about when they're using AI for their products and photos? 248 00:13:18,574 --> 00:13:21,494 Speaker 2: Like we've spoken about two brands today who have actually 249 00:13:21,534 --> 00:13:25,174 Speaker 2: both disclosed that they used AI. Should that almost be mandated? 250 00:13:25,974 --> 00:13:27,734 Speaker 4: I think it should. We do lots of work with 251 00:13:27,814 --> 00:13:31,414 Speaker 4: companies in AI. I never advise that you should be 252 00:13:31,414 --> 00:13:33,654 Speaker 4: trying to dupe people into thinking they're talking to a 253 00:13:33,694 --> 00:13:36,014 Speaker 4: real human for customer service, or that they're looking at 254 00:13:36,014 --> 00:13:38,134 Speaker 4: photos of a real person. I think you should be 255 00:13:38,174 --> 00:13:41,894 Speaker 4: transparent about whether or not we're interacting or looking at 256 00:13:42,254 --> 00:13:46,814 Speaker 4: human people versus things that are artificially generated. And I 257 00:13:46,854 --> 00:13:50,414 Speaker 4: think as a brand, you should be upfront and transparent 258 00:13:50,454 --> 00:13:53,054 Speaker 4: with your consumers and not assume that you can trick them. 259 00:13:53,054 --> 00:13:55,774 Speaker 4: I don't think that that's an ethical standpoint. But the 260 00:13:55,854 --> 00:13:57,774 Speaker 4: other side of that is when we're looking at AI 261 00:13:57,854 --> 00:14:01,934 Speaker 4: generated people, even more than photoshopping a model, they are 262 00:14:01,974 --> 00:14:05,734 Speaker 4: not real, hands down, they are a conglomeration of data 263 00:14:06,014 --> 00:14:10,254 Speaker 4: that then we interpret as a visual identification be human. 264 00:14:10,414 --> 00:14:13,854 Speaker 4: So while yes, we talk about inclusion diversity, it also 265 00:14:13,974 --> 00:14:17,214 Speaker 4: stands that we also have the capacity to reiterate these 266 00:14:17,494 --> 00:14:20,814 Speaker 4: pictures of people that look beyond perfect because they actually 267 00:14:20,894 --> 00:14:23,054 Speaker 4: aren't human at all. So I do think we have 268 00:14:23,214 --> 00:14:26,414 Speaker 4: to be transparent about that so that we help people 269 00:14:26,494 --> 00:14:35,134 Speaker 4: navigate how they feel about what they're looking at as well. 270 00:14:35,414 --> 00:14:38,414 Speaker 2: Police in Australia say they fear the worst for a 271 00:14:38,414 --> 00:14:41,094 Speaker 2: British tourist. It disappeared after being attacked in the Rio 272 00:14:41,334 --> 00:14:46,854 Speaker 2: part of the Outback. Tuesday July fifteen, twenty twenty five, 273 00:14:47,054 --> 00:14:51,414 Speaker 2: marked the final chapter of The Outback Killer. Bradley John Murdoch. 274 00:14:51,934 --> 00:14:54,134 Speaker 2: If it sounds like the start of a movie, that's 275 00:14:54,174 --> 00:14:58,694 Speaker 2: because it was two young backpackers, Peter Falconio and Joanne Lee's, 276 00:14:58,814 --> 00:15:01,414 Speaker 2: setting off on a once in a lifetime road trip 277 00:15:01,494 --> 00:15:05,334 Speaker 2: through the heart of Australia. In July two thousand and one, 278 00:15:05,574 --> 00:15:08,734 Speaker 2: after months of working in Sydney, Peter and Joanne hit 279 00:15:08,734 --> 00:15:11,934 Speaker 2: the Stuart Highway in their Orange Combi van bound for 280 00:15:11,974 --> 00:15:15,574 Speaker 2: an adventure. But one night, just north of Barrow Creek, 281 00:15:15,934 --> 00:15:19,094 Speaker 2: a stranger flagged them down, claiming there were sparks coming 282 00:15:19,094 --> 00:15:23,214 Speaker 2: from their exhaust. Peter stepped out to check. Joanne stayed 283 00:15:23,214 --> 00:15:26,854 Speaker 2: in the van she heard a bang and in the darkness, 284 00:15:27,174 --> 00:15:32,814 Speaker 2: her world changed forever. Falconio was shot and killed. Juanne 285 00:15:32,854 --> 00:15:36,374 Speaker 2: was tied up and threatened at gunpoint by Bradley John Murdoch, 286 00:15:36,774 --> 00:15:41,614 Speaker 2: a mechanic and drug runner with the dark past. In 287 00:15:41,654 --> 00:15:44,894 Speaker 2: a moment of gut wrenching courage, Joanne escaped and hid 288 00:15:44,934 --> 00:15:47,614 Speaker 2: in the bush for hours as Murdoch and his dog 289 00:15:47,734 --> 00:15:51,734 Speaker 2: hunted for her with a torch. Eventually, she flagged down 290 00:15:51,774 --> 00:15:54,254 Speaker 2: a truck driver, setting off one of the biggest man 291 00:15:54,374 --> 00:15:59,974 Speaker 2: hunts in modern Australian history. But this case was never straightforward. 292 00:16:00,334 --> 00:16:03,654 Speaker 2: Despite DNA evidence linking Murdoch to the crime, the murder 293 00:16:03,694 --> 00:16:08,054 Speaker 2: weapon and Peter Falconio's body were never found. The court 294 00:16:08,094 --> 00:16:12,374 Speaker 2: case exploded into public view. Murdoch was eventually convicted of 295 00:16:12,414 --> 00:16:16,094 Speaker 2: Peter's murder and the assault and attempted kidnap of Joanne Lee's, 296 00:16:16,534 --> 00:16:19,774 Speaker 2: sentencing him to life with a minimum of twenty eight years. 297 00:16:20,974 --> 00:16:25,574 Speaker 2: But as the world watched, another story took hold. Joanne 298 00:16:25,654 --> 00:16:29,454 Speaker 2: Lees became a subject of brutal suspicion and victim blaming 299 00:16:29,574 --> 00:16:33,734 Speaker 2: by the media and some police. She was grilled about 300 00:16:33,734 --> 00:16:37,254 Speaker 2: her reactions, her outfit at the press conference, even her 301 00:16:37,294 --> 00:16:41,534 Speaker 2: willingness to show emotion, drawing comparisons to Lindy Chamberlain and 302 00:16:41,654 --> 00:16:45,174 Speaker 2: putting her through years of public scrutiny she'd never asked. 303 00:16:44,934 --> 00:16:49,494 Speaker 5: For shattering and soul destroying. To come to realize that 304 00:16:49,534 --> 00:16:52,654 Speaker 5: I was being disbelieved, and when I read those headlines 305 00:16:53,094 --> 00:16:56,054 Speaker 5: was really upsetting for me to think that the focus 306 00:16:56,094 --> 00:16:59,134 Speaker 5: again was on me and not on looking for Murdoch. 307 00:17:00,334 --> 00:17:03,014 Speaker 2: What happened on that lonely stretch of the Stuart Highway 308 00:17:03,134 --> 00:17:06,134 Speaker 2: formed part of the inspiration for Wolf Creek, the chilling 309 00:17:06,134 --> 00:17:09,174 Speaker 2: two thousand and five Australian horror film that blurred fact 310 00:17:09,174 --> 00:17:14,654 Speaker 2: and fear, feeding global fascination without back mysteries and missing backpackers. 311 00:17:15,014 --> 00:17:17,494 Speaker 3: What do ye should do? Oh? I can tell you 312 00:17:18,214 --> 00:17:19,414 Speaker 3: and then we don't. 313 00:17:19,254 --> 00:17:26,974 Speaker 2: Have to kill you, which brings us to this week. 314 00:17:27,214 --> 00:17:30,254 Speaker 2: Bradley John Murdock died of throat cancer in an Alice 315 00:17:30,294 --> 00:17:34,894 Speaker 2: Springs hospital, aged sixty seven. He never admitted guilt and 316 00:17:35,094 --> 00:17:38,534 Speaker 2: never told anyone where he hid Peter's body, despite a 317 00:17:38,534 --> 00:17:41,774 Speaker 2: five hundred thousand dollars police reward and repeated please from 318 00:17:41,814 --> 00:17:45,134 Speaker 2: Falconio's family who simply want to lay Peter to rest. 319 00:17:46,374 --> 00:17:49,894 Speaker 2: Murdoch's family released a statement reminding the world that while 320 00:17:49,934 --> 00:17:52,694 Speaker 2: he'll be remembered as a killer, they saw a different man, 321 00:17:53,054 --> 00:17:57,214 Speaker 2: a gentle giant father and grandfather who was well liked 322 00:17:57,294 --> 00:18:01,374 Speaker 2: by fellow inmates. But as Northern Territory Police said just 323 00:18:01,454 --> 00:18:04,054 Speaker 2: weeks ago, this case has captured the heart of the 324 00:18:04,094 --> 00:18:08,174 Speaker 2: country and has never gone away, even in death. Murdoch 325 00:18:08,254 --> 00:18:11,054 Speaker 2: takes the final secret to one of Australia's greatest true 326 00:18:11,094 --> 00:18:14,934 Speaker 2: crime mysteries, with him leaving a chapter unfinished and a 327 00:18:14,974 --> 00:18:18,974 Speaker 2: family still waiting for peace. Thanks for taking some time 328 00:18:19,094 --> 00:18:21,334 Speaker 2: to feed your mind with us today. If you do 329 00:18:21,414 --> 00:18:23,374 Speaker 2: want to hear more about this case, I've linked to 330 00:18:23,414 --> 00:18:27,134 Speaker 2: our True Crime Conversations podcast in the show notes. The 331 00:18:27,214 --> 00:18:30,254 Speaker 2: quickie is produced by me Taylor Strano and Claire Murphy, 332 00:18:30,414 --> 00:18:32,334 Speaker 2: with audio production by Lou Hill.