WEBVTT - How deepfakes are impacting elections

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<v Speaker 1>Already and this is the Daily This is the Daily OS.

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<v Speaker 1>Oh now it makes sense.

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<v Speaker 2>Good morning and welcome to the Daily OS. It's Sunday,

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<v Speaker 2>the second of March. I'm Billy, I'm Zara.

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<v Speaker 1>We're back in your ears on a Sunday morning again. Again.

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<v Speaker 2>We love surprising you with a new episode on Sundays.

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<v Speaker 1>And Zara, I think today's topic.

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<v Speaker 2>Is very relevant and interesting and super interesting. So we

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<v Speaker 2>are nearly, at any moment now about to enter election

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<v Speaker 2>season in Australia.

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<v Speaker 3>The number of times that we have said that ONCAS

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<v Speaker 3>we're nearly there, We're just there. However, many synonyms can

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<v Speaker 3>say for we are close to an election.

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<v Speaker 1>We are close to an election.

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<v Speaker 2>So there is one that is due to be held

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<v Speaker 2>on the seventeenth of May, or before if Prime Minister

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<v Speaker 2>Anthony Alberanezi decides for us to go to an election earlier,

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<v Speaker 2>and that could mean that we are about to enter

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<v Speaker 2>a period of dis and misinformation in Australia. So today

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<v Speaker 2>we are talking about a very specific type of false

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<v Speaker 2>information and that.

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<v Speaker 1>Is deep fakes.

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<v Speaker 2>More specifically, we want to talk about how deep fakes

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<v Speaker 2>can impact elections, and in this context we're talking about

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<v Speaker 2>deep fakes that are deceptive and harmful. A quick note

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<v Speaker 2>before we start. This podcast is produced with financial support

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<v Speaker 2>from Microsoft. However, the content does remain entirely independent. And

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<v Speaker 2>if you're wondering why Microsoft would be interested in sponsoring

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<v Speaker 2>a podcast on deep fakes.

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<v Speaker 4>In it, I was quite interested.

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<v Speaker 2>Well you, yeah, because you might not know that they

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<v Speaker 2>are very involved in this space and they have teams

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<v Speaker 2>that track the threat of actors who are often the

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<v Speaker 2>ones creating deep fakes.

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<v Speaker 3>Very interesting, now, Billy, you have used the word deep

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<v Speaker 3>fake a record number of times in the introduction of

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<v Speaker 3>a podcast. For anyone who's not familiar with the term, though,

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<v Speaker 3>what are you talking about when you say deep fake?

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<v Speaker 2>So they are digital photos or videos of someone that

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<v Speaker 2>looks very real, but they have actually been created using

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<v Speaker 2>artificial intelligence and they are fake, although often they're not

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<v Speaker 2>entirely fake. So it could be a video where ninety

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<v Speaker 2>percent of that video is real, but then there's ten

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<v Speaker 2>percent that is generated by AI and is fake. But

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<v Speaker 2>it's that ten percent that is really deceptive.

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<v Speaker 4>Well, I guess yeah.

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<v Speaker 3>When you're looking at something and so much of it

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<v Speaker 3>looks real, your sense of what's real and what's fake

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<v Speaker 3>is so.

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<v Speaker 2>Distortive exactly, and that is a key feature of deep fakes,

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<v Speaker 2>that they are highly highly realistic. Now, one famous example

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<v Speaker 2>that comes to my mind when we talk about deep

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<v Speaker 2>fakes is I don't know if you've seen this there

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<v Speaker 2>or if you remember this, but the image of Pope

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<v Speaker 2>Francis in a Valenciago quilted jacket. It's kind of walking

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<v Speaker 2>the streets in this massive white jacket, and it went

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<v Speaker 2>completely viral at the time in March train twenty three,

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<v Speaker 2>and a lot of people obviously didn't know it was

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<v Speaker 2>a fake photo because it looked so real, and two

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<v Speaker 2>years ago, there wasn't really the conversations happening at the

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<v Speaker 2>time that there are now, when we are much more

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<v Speaker 2>aware that there are so many fake images, and obviously

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<v Speaker 2>we are talking about AI so much even we're talking

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<v Speaker 2>about AI so much more today than we were a

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<v Speaker 2>month ago, let alone two years ago, and so that

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<v Speaker 2>is one of I would say that's one of the

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<v Speaker 2>more innocuous examples of deep fakes where although it was fake,

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<v Speaker 2>it didn't necessarily do any damage by people believing that

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<v Speaker 2>it was real. But why we're talking about it today

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<v Speaker 2>is because deep fakes can and they have been used

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<v Speaker 2>in a much more deceptive way, and one of those

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<v Speaker 2>ways is during elections.

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<v Speaker 4>I see how you're bringing this altogether.

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<v Speaker 1>We're circling that.

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<v Speaker 2>So there have been examples around the world where politicians

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<v Speaker 2>or political candidates or even just people who want a

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<v Speaker 2>certain party to win, have used deep fakes to mislead

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<v Speaker 2>voters and to benefit their campaign. Or it could not

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<v Speaker 2>even be for that reason, it could just be to

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<v Speaker 2>cause chaos or cause disruption.

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<v Speaker 3>Okay, So we're talking about it because we're in the

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<v Speaker 3>lead up to an election and we've seen not just

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<v Speaker 3>here but across the world examples of deep fakes being

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<v Speaker 3>used during an election cycle. Can you talk me through

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<v Speaker 3>some of the examples that we've seen of this and

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<v Speaker 3>how it's been used.

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<v Speaker 4>Yeah.

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<v Speaker 2>I thought we would start in Australia because you might

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<v Speaker 2>not be aware that there have actually been examples in

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<v Speaker 2>Australian elections or by Australian parties of using deep fakes.

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<v Speaker 2>So Queensland, Hm'm sure you've heard of it, familiar. They

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<v Speaker 2>had an election last year and the Liberal National Party

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<v Speaker 2>posted a video of the then Premier, Steven Miles dancing

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<v Speaker 2>with text beneath it that said pov my rent is

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<v Speaker 2>up sixty dollars a week, my power bill is up

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<v Speaker 2>twenty percent. But the premier made a sandwich on TikTok,

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<v Speaker 2>So basically they were saying that the premiere at the

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<v Speaker 2>time was dancing and was happy despite the fact that

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<v Speaker 2>the rent in the state had gone up on average

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<v Speaker 2>for the average renter. Now, that video was actually labeled

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<v Speaker 2>as AI generated, although I would say that the label

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<v Speaker 2>was pretty easy to miss if you weren't necessarily looking

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<v Speaker 2>out for it, and so it was just this completely

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<v Speaker 2>fake video of Steven Male dancing.

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<v Speaker 3>I remember seeing that at the time and coming up

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<v Speaker 3>on you for you page it did, and I remember

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<v Speaker 3>thinking that it was the first time I recall seeing

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<v Speaker 3>something like that here in Australia.

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<v Speaker 2>Yeah, and it generated a lot of media coverage. But

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<v Speaker 2>then a lot of that coverage then pointed out that

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<v Speaker 2>this is not unique to one side of politics. And

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<v Speaker 2>actually around that time, well actually before that video was posted,

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<v Speaker 2>the Australian Labor Party had also posted a video on

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<v Speaker 2>their TikTok that had used AI to create a fake

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<v Speaker 2>video of Federal Opposition leader Peter dune and dancing with

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<v Speaker 2>the words dance if you want to build nuclear power

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<v Speaker 2>plants in everyone's backyard. Zara, I'm going to send you

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<v Speaker 2>the video for you to look.

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<v Speaker 1>Right now.

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<v Speaker 2>I realized this is an audio platform and so the

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<v Speaker 2>audience can't see it. But Zara, I want to get

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<v Speaker 2>your reaction.

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<v Speaker 3>My god, oh my god.

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<v Speaker 2>I'm going to say, it's probably not the most realistic.

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<v Speaker 4>It looks nothing like Peter Dudden.

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<v Speaker 2>Okay, but you can see that it's trying to kind

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<v Speaker 2>of imitate him vaguely. Sure, Look, this is one of

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<v Speaker 2>the examples where it is pretty clear to most people.

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<v Speaker 1>That it was a fake video.

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<v Speaker 3>However, it must be said that like you and I

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<v Speaker 3>look at Peter Dudden day and day out where we

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<v Speaker 3>work in news, we're very familiar with what he looks like.

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<v Speaker 3>I imagine for someone that's perhaps not paying the same amount

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<v Speaker 3>of attention, maybe they wouldn't be able to tell.

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<v Speaker 2>You yes exactly. And also, I think the Stephen Miles one,

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<v Speaker 2>if you look at that one, it was a lot

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<v Speaker 2>more realistic. Yeah, but again, these are videos of the politicians,

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<v Speaker 2>and so it is one of the more benign examples

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<v Speaker 2>of how deep fakes can be used in elections.

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<v Speaker 3>Okay, So if you're saying that those are benign examples,

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<v Speaker 3>or perhaps more benign examples. What are some of the

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<v Speaker 3>more troublesome deceptive examples that we've got out there.

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<v Speaker 2>Yeah, so if we look overseas, there are quite a

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<v Speaker 2>few more troublesome examples. So one example that the audience

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<v Speaker 2>might be familiar with or might have seen in their

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<v Speaker 2>feeds is that during the US election last year, in

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<v Speaker 2>the lead up to that election, Elon Musk shared a

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<v Speaker 2>video that looked like an ad campaign for Kamala Harris,

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<v Speaker 2>who was the Democratic candidate for the US presidency last year.

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<v Speaker 2>Here's a bit of that clip.

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<v Speaker 5>I Kamal Harris and your Democrat candidate for presidents because

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<v Speaker 5>Joe Biden finally exposed to sinilitive to be thanks, John,

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<v Speaker 5>I was selected because I am the ultimate diversity hire.

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<v Speaker 5>I'm both a woman and a president of color. So

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<v Speaker 5>if you've criticized anything I say, you're both sexist and racist.

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<v Speaker 3>That one's crazy because that sounds exactly like her.

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<v Speaker 1>Yeah, it would be look video.

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<v Speaker 2>Yeah, if you were watching it, it would be really

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<v Speaker 2>hard to tell that that is a fake video. And

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<v Speaker 2>you probably couldn't immediately tell unless you were in tune

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<v Speaker 2>with every single thing Kamla Harris has ever said, you

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<v Speaker 2>would have to do some digging to figure out if

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<v Speaker 2>that was real or fake, especially when it's shared by

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<v Speaker 2>a very influential person. Now, that video received nearly one

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<v Speaker 2>hundred and forty million views according to x's Metrics, and

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<v Speaker 2>it was liked by nearly one million accounts. Wow, so

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<v Speaker 2>that gives you an idea of how viral this kind

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<v Speaker 2>of content can go.

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<v Speaker 4>I'm just looking at the tweet responses. What's that called

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<v Speaker 4>yesh x response?

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<v Speaker 3>And ex responds someone who was retweeted one hundred and

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<v Speaker 3>ninety three times and like ten thousand times said.

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<v Speaker 4>Is this AI or reel?

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<v Speaker 3>Yeah?

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<v Speaker 4>So clear genuinely no idea.

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<v Speaker 2>Yeah, it clearly wasn't that clear to me any many people.

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<v Speaker 2>As I'm sure you've guessed. The reason we're talking about

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<v Speaker 2>it is because it was completely fake. Kamala Harris never

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<v Speaker 2>said those words, so that voice was completely AI generated,

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<v Speaker 2>but it sounded and looked extremely realistic. Now, it's hard

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<v Speaker 2>to measure what impact a video like that had on

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<v Speaker 2>the minds of voters in the US. It could have

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<v Speaker 2>had no impact at all, or it could be quite significant, Again,

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<v Speaker 2>especially when shared by a very influential person such as

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<v Speaker 2>Musk So that's one example, but there are also examples

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<v Speaker 2>of foreign countries using deep fakes to interfere with elections.

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<v Speaker 4>Can you unpack that more for me?

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<v Speaker 2>Yeah, it's quite a big concept to get your head around.

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<v Speaker 3>So foreign actors interfering with domestic elections in a different country.

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<v Speaker 2>Exactly, And it's not really something that many of us

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<v Speaker 2>would ever think about, but it's probably something that you've

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<v Speaker 2>heard murmurs about, this idea that there are countries who

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<v Speaker 2>try to interfere with other countries' elections with the aim

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<v Speaker 2>of electing a government they believe will be more closely

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<v Speaker 2>aligned with their own policies and agendas, or like I

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<v Speaker 2>said before, it could not be because of that, it

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<v Speaker 2>could be again just to create chaos and disruption to society.

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<v Speaker 4>What are some examples of that?

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<v Speaker 2>So if we stick with looking at the US election

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<v Speaker 2>last year, Microsoft actually did a report into how rushing

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<v Speaker 2>groups created deep fakes to try to influence the US election. Now,

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<v Speaker 2>before I go on, I do just want to quickly

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<v Speaker 2>mention that, as we discussed earlier, this podcast is sponsored

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<v Speaker 2>by Microsoft, but when not required to talk about them

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<v Speaker 2>in this section, they just have done a lot of

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<v Speaker 2>research in this area that I thought was very relevant

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<v Speaker 2>to talk about. Okay, good clear disclaimer, just want to

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<v Speaker 2>be completely transparent there. So in a report last year,

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<v Speaker 2>Microsoft found that two groups that were aligned with the

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<v Speaker 2>Russian government, the Kremlin, had created and disseminated videos that

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<v Speaker 2>were quote designed to discredit Harris again talking about Kamala

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<v Speaker 2>Harris and stoke controversy around her campaign. So, for example,

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<v Speaker 2>they found this one video that showed Harris supporters attacking

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<v Speaker 2>an attendee at a Trump rally, and that video was

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<v Speaker 2>completely false, but it was still seen by millions and

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<v Speaker 2>millions of people, and there was no labeling or anything

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<v Speaker 2>that indicated.

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<v Speaker 1>This video was fake.

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<v Speaker 2>So to someone who was just on their feedscrolling through,

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<v Speaker 2>there wasn't any clear signs that this was a fake video.

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<v Speaker 2>And so basically what they found is that these groups

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<v Speaker 2>intentionally created these videos and planted them in front of

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<v Speaker 2>US audiences to sway their opinion in this case against Harris.

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<v Speaker 3>Yeah, it's really interesting and again needs to be said,

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<v Speaker 3>this isn't happening on one side of politics. We've seen

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<v Speaker 3>examples across the aisle when it comes to this Billy

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<v Speaker 3>one thing that I think about when you're talking about

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<v Speaker 3>this is the onus that exists on on the individual,

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<v Speaker 3>because ultimately we're saying you can be served up fake

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<v Speaker 3>content that is mimicking reality but is not real, and

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<v Speaker 3>sometimes deceptively, sometimes in a more benign nature, and we

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<v Speaker 3>are expecting audiences to be able to critically, I guess,

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<v Speaker 3>analyze what they're seeing and understand how can people tell

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<v Speaker 3>if videos that they're watching or photos they're seeing a

0:12:24.600 --> 0:12:27.240
<v Speaker 3>real or AI generator. You know, for example, we've seen

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<v Speaker 3>the President of the United States share something recently there

0:12:30.360 --> 0:12:32.920
<v Speaker 3>was completely AI generated and completely fake.

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<v Speaker 4>Yeah.

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<v Speaker 2>I speak to my friends about this all the time

0:12:35.280 --> 0:12:39.120
<v Speaker 2>because we're always, you know, sending each other videos and whatnot,

0:12:39.240 --> 0:12:41.480
<v Speaker 2>and we're always talking about how do we tell if

0:12:41.480 --> 0:12:44.439
<v Speaker 2>this is real or not? And what's hard is that

0:12:44.640 --> 0:12:48.920
<v Speaker 2>by definition, deep fakes are incredibly realistic. The whole point

0:12:48.960 --> 0:12:49.760
<v Speaker 2>is for you to think.

0:12:49.640 --> 0:12:50.440
<v Speaker 1>That they are real.

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<v Speaker 2>I think the main thing to look for is who

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<v Speaker 2>is sharing this video and what is the primary source

0:12:56.600 --> 0:12:59.199
<v Speaker 2>or does a primary source even exist? So if it's

0:12:59.240 --> 0:13:03.720
<v Speaker 2>from an verified, completely random account, then that's more likely

0:13:03.800 --> 0:13:07.040
<v Speaker 2>to be a fake video than one shared by a

0:13:07.080 --> 0:13:12.240
<v Speaker 2>reputable news outlet, or even better, a primary source, so Zara,

0:13:12.360 --> 0:13:15.120
<v Speaker 2>as you know, at TDA, we are all about the

0:13:15.160 --> 0:13:18.360
<v Speaker 2>primary source, So that means looking at where each and

0:13:18.440 --> 0:13:21.679
<v Speaker 2>every piece of information originates from. So just for some

0:13:21.720 --> 0:13:24.840
<v Speaker 2>context for the listeners, our guiding rule at TDA is

0:13:24.840 --> 0:13:28.200
<v Speaker 2>that every fact we share needs to have a primary source.

0:13:28.480 --> 0:13:31.439
<v Speaker 2>We need to know exactly where it came from and

0:13:31.880 --> 0:13:34.960
<v Speaker 2>go to that place to get that information ourselves.

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<v Speaker 1>So if we look at the video of.

0:13:36.880 --> 0:13:39.560
<v Speaker 2>Kamala Harris shared by Elon Musk, that kind of is

0:13:39.559 --> 0:13:43.520
<v Speaker 2>more murky because obviously Elon Musk's page is verified, so

0:13:43.840 --> 0:13:45.880
<v Speaker 2>I understand why a lot of people would have thought

0:13:45.880 --> 0:13:48.560
<v Speaker 2>it was real. But again, if we are looking for

0:13:48.640 --> 0:13:51.280
<v Speaker 2>the primary source in that case, you would find it

0:13:51.320 --> 0:13:55.600
<v Speaker 2>on either Harris's own verified page, all the Democratic parties

0:13:55.720 --> 0:13:59.480
<v Speaker 2>verified socials. And if you can't find that video on either,

0:14:00.000 --> 0:14:02.800
<v Speaker 2>and there's a good chance it's not real. But I

0:14:02.800 --> 0:14:06.720
<v Speaker 2>think you can also consider whether that content perfectly fits

0:14:06.720 --> 0:14:10.640
<v Speaker 2>a particular narrative being pushed by someone that it potentially

0:14:10.720 --> 0:14:13.880
<v Speaker 2>could be too good to be true. And I also

0:14:13.920 --> 0:14:16.280
<v Speaker 2>just want to say that this isn't about making you

0:14:16.360 --> 0:14:19.480
<v Speaker 2>think that everything is fake. That is not what we're saying.

0:14:19.720 --> 0:14:22.840
<v Speaker 2>I think we're just talking about developing a healthy level

0:14:22.880 --> 0:14:27.400
<v Speaker 2>of skepticism, not too much that you completely distrust everything

0:14:27.440 --> 0:14:30.480
<v Speaker 2>you see, but enough to stop and consider where this

0:14:30.600 --> 0:14:34.120
<v Speaker 2>content is from. Could it be fake or manipulated? And

0:14:34.200 --> 0:14:37.000
<v Speaker 2>if you're basing your opinion on this video that you're seeing,

0:14:37.520 --> 0:14:40.240
<v Speaker 2>should you be checking whether there is a primary source?

0:14:40.760 --> 0:14:42.640
<v Speaker 3>Now, Billy, I just want to end back. I guess

0:14:42.640 --> 0:14:45.720
<v Speaker 3>where we started with a discussion about it here in Australia.

0:14:45.800 --> 0:14:48.400
<v Speaker 3>Are there laws that regulate this sort of behavior here?

0:14:48.760 --> 0:14:51.440
<v Speaker 2>Yeah, our audience has asked us a lot about this,

0:14:51.800 --> 0:14:54.640
<v Speaker 2>and essentially the answer is that there is nothing that

0:14:54.720 --> 0:14:59.120
<v Speaker 2>prohibits the use of AI in election campaigns. Also remembering

0:14:59.160 --> 0:15:03.200
<v Speaker 2>that this is quite new technology. There is, however, regulation

0:15:03.360 --> 0:15:07.640
<v Speaker 2>about campaign communication, so you know, information coming from the

0:15:07.720 --> 0:15:11.280
<v Speaker 2>Labor Party directly or the Liberal Party or whatever party

0:15:11.360 --> 0:15:15.600
<v Speaker 2>or political candidate, that communication is regulated. But as we

0:15:15.640 --> 0:15:18.600
<v Speaker 2>saw in many of the examples above, the deep fakes

0:15:18.600 --> 0:15:23.200
<v Speaker 2>that are misleading voters aren't usually coming from political parties directly.

0:15:23.240 --> 0:15:27.240
<v Speaker 2>They're coming from other third party actors who perhaps have

0:15:27.400 --> 0:15:31.320
<v Speaker 2>a certain agenda to push. It is a criminal offense

0:15:31.360 --> 0:15:35.160
<v Speaker 2>in the Electoral Act to mislead or deceive an elector.

0:15:34.800 --> 0:15:38.000
<v Speaker 1>When it comes to casting a vote. But again, this.

0:15:37.960 --> 0:15:41.160
<v Speaker 2>Becomes harder to apply to videos posted on random accounts

0:15:41.160 --> 0:15:44.040
<v Speaker 2>where the exact source of that video or image is

0:15:44.080 --> 0:15:44.520
<v Speaker 2>not known.

0:15:45.040 --> 0:15:49.000
<v Speaker 3>Look a really complex area, and especially as it interacts

0:15:49.040 --> 0:15:51.520
<v Speaker 3>with election season. Definitely one that we have to keep

0:15:51.560 --> 0:15:53.920
<v Speaker 3>an eye on and one that will continue to keep

0:15:53.960 --> 0:15:54.600
<v Speaker 3>speaking about.

0:15:54.640 --> 0:15:55.840
<v Speaker 4>So thank you for taking us through that.

0:15:55.840 --> 0:15:56.560
<v Speaker 1>Billy, Thank you.

0:15:56.800 --> 0:15:59.120
<v Speaker 3>We'll be back again tomorrow morning with a deep dive

0:15:59.240 --> 0:16:02.000
<v Speaker 3>as usual, but until then, enjoy your weekend.

0:16:06.120 --> 0:16:08.480
<v Speaker 1>My name is Lily Maddon and I'm a proud Arunda

0:16:08.680 --> 0:16:11.240
<v Speaker 1>Bungelung Kalkadin woman from Gadighl Country.

0:16:12.040 --> 0:16:15.200
<v Speaker 2>The Daily oz acknowledges that this podcast is recorded on

0:16:15.240 --> 0:16:17.720
<v Speaker 2>the lands of the Gadighl people and pays respect to

0:16:17.800 --> 0:16:21.120
<v Speaker 2>all Aboriginal and torrest Rate island and nations. We pay

0:16:21.160 --> 0:16:24.080
<v Speaker 2>our respects to the first peoples of these countries, both

0:16:24.120 --> 0:16:25.040
<v Speaker 2>past and present.