1 00:00:05,921 --> 00:00:12,881 Speaker 1: Approache Production. It's January twenty twenty four in the office 2 00:00:12,881 --> 00:00:17,241 Speaker 1: of a ROP. Lee Chan not his real name, is 3 00:00:17,281 --> 00:00:20,161 Speaker 1: working in his Level five office in downtown Hong Kong. 4 00:00:20,681 --> 00:00:25,201 Speaker 1: He works in finance. At about two pm, Lee gets 5 00:00:25,241 --> 00:00:29,001 Speaker 1: an email from the London head office. It doesn't seem legit. 6 00:00:29,961 --> 00:00:34,561 Speaker 1: He thinks it might be a phishing scam, but over 7 00:00:34,601 --> 00:00:37,761 Speaker 1: the next few days he transfers over forty million Australian 8 00:00:37,801 --> 00:00:43,401 Speaker 1: dollars to an unknown person or person's welcome to deep 9 00:00:43,480 --> 00:00:47,001 Speaker 1: fake the forty million dollar fraud. 10 00:00:47,840 --> 00:00:49,920 Speaker 2: The worker ended up getting persuaded that like no, I'm 11 00:00:49,921 --> 00:00:53,440 Speaker 2: talking to a real person. This is legit, right, and 12 00:00:53,480 --> 00:00:55,641 Speaker 2: so let's move forward with this deal. 13 00:00:56,561 --> 00:00:59,601 Speaker 1: I'm Amelia Thompson. I've spent the last twelve years digging 14 00:00:59,681 --> 00:01:02,601 Speaker 1: into the murky depths of financial crime here in Australia. 15 00:01:03,161 --> 00:01:06,961 Speaker 1: I'm covering everything from corporate five fraud to money laundering 16 00:01:07,001 --> 00:01:10,440 Speaker 1: schemes that reach the highest levels of power. My name 17 00:01:10,481 --> 00:01:11,521 Speaker 1: is Dander and McCullough. 18 00:01:11,640 --> 00:01:16,881 Speaker 3: I have a PhD in cryptology, which is the mathematics 19 00:01:17,241 --> 00:01:18,681 Speaker 3: of code. 20 00:01:19,000 --> 00:01:22,840 Speaker 2: The worker initially received an email from what claimed to 21 00:01:22,881 --> 00:01:26,721 Speaker 2: be a UK based company's chief financial officer. 22 00:01:26,840 --> 00:01:30,321 Speaker 1: The CFO high Lee, Thanks for coming on the call 23 00:01:30,401 --> 00:01:33,440 Speaker 1: so quickly. This is critical business and a transaction that 24 00:01:33,521 --> 00:01:37,000 Speaker 1: needs the utmost confidentiality. I'm here to share one of 25 00:01:37,000 --> 00:01:40,560 Speaker 1: the fastest growing areas of crime, deep fakes, and how 26 00:01:40,601 --> 00:01:43,840 Speaker 1: by twenty twenty seven, they will account for over forty 27 00:01:43,881 --> 00:01:46,801 Speaker 1: billion dollars of scams in the US alone. 28 00:01:46,961 --> 00:01:49,681 Speaker 4: You expect like people are just starting to understand what 29 00:01:49,721 --> 00:01:52,521 Speaker 4: a deep fake is, and they probably think, as I 30 00:01:52,561 --> 00:01:54,601 Speaker 4: thought prior to this story, that it's the sort of 31 00:01:54,601 --> 00:01:57,160 Speaker 4: thing where you have to take actual video and then 32 00:01:57,161 --> 00:02:00,081 Speaker 4: you take video faces, you train a model. It's complex, 33 00:02:00,121 --> 00:02:01,240 Speaker 4: and that eventually. 34 00:02:01,001 --> 00:02:06,041 Speaker 3: There They're becoming more and more frequent, more and more frequently. 35 00:02:06,441 --> 00:02:10,641 Speaker 5: It's very, very hard to identify a deep fate. 36 00:02:10,761 --> 00:02:12,001 Speaker 2: I am not Mormon freeman. 37 00:02:12,361 --> 00:02:13,521 Speaker 4: This is a dangerous time. 38 00:02:13,680 --> 00:02:17,001 Speaker 1: Deep fakes, deep fakes, deep fixts, deep fixed. 39 00:02:16,881 --> 00:02:20,481 Speaker 4: Videos that look so real it's hard to tell what. 40 00:02:20,561 --> 00:02:23,120 Speaker 1: Speak from online pop stars. 41 00:02:23,841 --> 00:02:26,721 Speaker 5: So I'm not the only robot pop star. I was 42 00:02:26,800 --> 00:02:28,800 Speaker 5: programmed to believe that I was an eighteen year old 43 00:02:29,161 --> 00:02:31,641 Speaker 5: have Brazilian half Spanish girl names with a. 44 00:02:31,641 --> 00:02:32,401 Speaker 1: Deep fake porn. 45 00:02:32,601 --> 00:02:35,321 Speaker 2: It's really heartbreaking that this is happening. And even though 46 00:02:35,361 --> 00:02:37,921 Speaker 2: it's a I generated, it's still very real, and it's 47 00:02:37,921 --> 00:02:39,321 Speaker 2: still really harms. 48 00:02:39,001 --> 00:02:41,881 Speaker 1: Pick and scams where millions are being lost by the minute. 49 00:02:42,240 --> 00:02:45,681 Speaker 3: I was not surprised at all. We've been talking in 50 00:02:45,721 --> 00:02:47,641 Speaker 3: the industry about this is going to be the next 51 00:02:47,680 --> 00:02:50,201 Speaker 3: big thing and it was just a matter of time. 52 00:02:50,321 --> 00:02:52,921 Speaker 3: So as soon as it happened, I said to my colleagues, 53 00:02:52,921 --> 00:02:55,761 Speaker 3: here we go. Here's the first one, and of course 54 00:02:55,800 --> 00:02:57,681 Speaker 3: you're going to see a lot more to come. 55 00:02:57,761 --> 00:03:00,960 Speaker 5: But it's created online and shared in the shadows. 56 00:03:01,361 --> 00:03:01,561 Speaker 2: You know. 57 00:03:01,761 --> 00:03:05,881 Speaker 5: I'm still trying to wrap my head around this case 58 00:03:06,441 --> 00:03:09,321 Speaker 5: that has emerged in Hong Kong and which is making 59 00:03:09,401 --> 00:03:13,241 Speaker 5: global headlines because, like I keep saying, this is chilling. 60 00:03:13,841 --> 00:03:17,041 Speaker 5: This sounds like the plot of the fines fiction movie, 61 00:03:17,201 --> 00:03:18,121 Speaker 5: except that it's. 62 00:03:18,041 --> 00:03:22,960 Speaker 1: Not deep fake. The forty million Dollar Fraud. Subscribe now 63 00:03:23,041 --> 00:03:26,641 Speaker 1: to Apple podcast Subscriptions to get episodes ad free and early. 64 00:03:27,201 --> 00:03:30,201 Speaker 1: The first episode drops Monday, September sixteenth. 65 00:03:30,680 --> 00:03:33,161 Speaker 3: The use of AI voices has been used in this 66 00:03:33,240 --> 00:03:35,641 Speaker 3: podcast to help recreate some moments