WEBVTT

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In this video we're going to take a look at eye detection.

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Now I am deepfake videos.

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I manipulated videos and photos and even audio is a growing concern.

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There's been cases where very large banks have been tricked into sending over millions and millions

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of dollars, and this was done by AI video with AI voice over a video call convincing the bank to actually

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transfer funds because they thought they were talking to, because it looked like they were talking

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to someone from a one of their clients.

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And it was very convincing looking.

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Video.

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The audio matched up, but it was all AI generated.

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Now there's also photo manipulation using AI.

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It's so easy generating AI photos also, and we see this a lot with social media posts, posting pictures,

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and basically convincing people of things that aren't true, including manipulation for political gains,

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for causing discourse in society and whatnot.

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So how do we figure out if it's a R or not?

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Well, there are certain things that we could do in terms of video chats with AI.

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You could actually, um, and this will work up until AI gets to a point where it's actually has better

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tracking.

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There's been cases where people had interviews with other people, and the person was using AI to kind

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of hide who they really were.

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So things, uh, if you're doing video chatting, you could say, hey, okay, I need you to stand up

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real quick.

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I need you to turn your head left and right real fast.

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I need you to, you know, walk to the side.

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Uh uh, quickly walk to the left.

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Walk to the right real quick.

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And in in those cases, I generally at this point has problems keeping up with real quick movements,

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sudden movements.

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So you'll see that break in there.

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And in cases where people actually have interviewed someone that was using I and they, they use that,

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those people usually drop off of the interview because they don't want to get caught, or in some cases

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they actually do it.

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And you could see it, uh, the video break.

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Now, other ways we could do this is we could use things like, uh, this, this website at TV, Audio

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and

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video.tv.com.

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Um, I have the full one here because I'm logged in here and you can register for a free account.

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You could do five scans a month for free.

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Now, what this does is it'll analyze the video.

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So either we could drop a video in here or we could do a URL.

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So I'm going to drop a video in here and I'm using this one here.

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This is from YouTube.

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This is a basically someone re-imagined the Avengers using actors from the 80s.

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So we're going to drop it in here and we're going to see basically how this does.

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So I have that input here.

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Video is ready to scan.

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I'm going to click on Scan Video here and we'll let this run through.

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And this is actually going pretty quickly.

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So we'll get a result pretty fast here.

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Okay.

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So we'll let that scan through.

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And I do want to take the opportunity to say that as with every tool I recommend if you can do multiple

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scans with different tools to kind of verify your results.

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And just because we're using a tool to specifically look for eye videos, these things are not always

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accurate.

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It doesn't always do the best job detecting it.

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That's why I like using multiple tools to run through different scans, not just with eye, but with

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other stuff too.

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Basically anything.

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I like to verify the results.

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So this came back with a 61 score.

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So it says suspicious.

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And we could see the video analysis here.

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And you could actually go in here.

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You could see estimate score lip placement face placement generated 95%, confidence interval 50%.

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And you could try to read that chart.

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So I'm just going to scroll down here because I'm not really great reading that chart.

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So let's scroll down in here and it says technical suspicious rating.

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So it's a three out of four.

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Now it's a show.

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Technical suspicion is rating of 61 which means that parts of the video are suspicious.

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So again this is I'll actually play the video for make sure this is muted.

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So this is what it looks like.

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So the still pictures it actually looks pretty good uh for being AI generated.

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It it looks like it could very well be the, uh, the actual actors in most scenes, but you could see

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kind of some funny things about, about some of the transitioning, some of the movements because it's

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AI.

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But in terms of the face itself, they do a pretty good job with, um, how the faces were generated.

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But again, this is a tool that we could potentially use to check for AI generated content.

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So thank you for watching.

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I'll see you next video.
