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<v Instructor>In this lesson,</v>

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we will learn about artificial intelligence,

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or AI manipulation attacks.

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AI manipulation attacks involve the intentional alteration

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or deception of AI systems to produce harmful,

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or misleading outcomes.

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AI enabled manipulation attacks include social engineering

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and deepfakes through digital media and interactivity.

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Social engineering refers to techniques

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that exploit human trust to deceive individuals

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into interacting with manipulated AI outputs.

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Interactivity may occur through interactive chatbots

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or social media platforms, and include deepfake videos,

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or audio that appear genuine, but are entirely fabricated.

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Let's learn more about AI enabled manipulation attacks

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to include social engineering and deepfakes

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delivered through digital media and interactivity.

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Then we will conduct a demo

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of an AI-generated voice deception.

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First, we have social engineering.

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AI manipulation in social engineering attacks

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uses AI to exploit human trust,

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creating deceptive situations that seem legitimate.

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For instance, an attacker might employ a chatbot

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that impersonates a known contact,

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using language and conversational patterns

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tailored to the victim.

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By establishing a sense of trust,

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the manipulating AI system can lead victims

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into revealing personal data, passwords,

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or even financial information.

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The scary part is that with advanced AI language models,

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these interactions feel natural and real,

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making social engineering attacks more persuasive

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and challenging to identify.

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AI manipulation social engineering attacks

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are increasingly common on social media platforms,

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where fake accounts can be created to impersonate friends,

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family members, or authority figures.

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In these cases, AI can analyze user data

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and craft personalized messages,

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enhancing the illusion of authenticity.

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Even automated phishing messages are evolving with AI,

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learning to adapt their language and content

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based on user behavior,

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making it easier for attackers to gain a victim's trust.

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So the use of AI in social engineering

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means individuals and companies

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need to exercise greater caution with online interactions,

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double checking authenticity,

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and being wary of unsolicited requests.

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Second, we have deepfakes delivered through digital media

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and interactivity.

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Deepfakes delivered through digital media and interactivity

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represent another form of AI manipulation attack

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that can cause serious harm.

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Deepfake technology generates hyperrealistic videos

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or audio files that mimic real people, often public figures,

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making it challenging to distinguish

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between what is real, and what is fake.

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For example, a deepfake video of a well-known executive

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could be fabricated to show them making damaging statements

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about a company, or endorsing a fraudulent scheme.

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Delivered through social media or streaming platforms,

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such a video could reach a wide audience,

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damaging reputations and spreading misinformation

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before it is detected as false.

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The interactive aspect of deepfakes

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is what makes them more deceptive.

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Deepfakes can now be used in live video calls,

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or digital conferencing platforms.

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Attackers may even use AI-generated voices

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and face-swapping technology in real time,

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making it appear as though the person is present

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and speaking directly to others.

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This real-time manipulation increases the risk

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of fraud and misinformation,

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especially in high stakes environments,

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like business meetings, or online news broadcasts.

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So as deepfakes become harder to detect,

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organizations need advanced verification methods

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and awareness programs to combat the spread

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of AI-driven misinformation.

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Now let's conduct a demonstration of an AI-generated voice.

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For this demonstration, I am using Descript,

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and I am going to create an AI speaker that is of my voice

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and then write some text for that speaker to say.

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Hopefully, in the end, it sounds a little bit like me.

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I'm here in AI speakers,

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and you can see that there's already one with my name on it.

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So I'm going to create a new AI speaker.

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I'm going to call this new AI Speaker Alt, or A-L-T Me.

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Let's go ahead and confirm.

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Now, the next thing I need to do is train

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and authorize this speaker.

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While I read this text here,

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I'm going to mute my microphone,

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so that I can clearly read this text into Descript.

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I'll go ahead and start my recording now.

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All right, I read the script.

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Now I need to authorize my speaker.

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So I'll click the Submit button.

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And it'll take a few minutes

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for the voice model to be created.

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You can see it's already started.

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In the meantime, I'm going to set up a new project

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in a private workspace.

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Here I am in the private workspace,

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and I'm going to select New Project.

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And this will be an audio project.

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Now that my audio project is up and running,

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I'm going to write some AI speech.

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It's not going to be Cedric talking, it'll be me.

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But let's go ahead and get this written first.

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What do I want the AI me to say?

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Well, let's just have me introduce myself.

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Hello, I am Jeremiah Minner.

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I am an instructor for Dion Training.

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All right, let's go ahead and add me

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or the alternate me as the speaker.

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And there it goes. It's generating the AI speech.

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This will take just a minute.

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Once the speech is generated,

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I'll just play it using the play key down here.

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But when it's generated, I will know,

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'cause I'll get a little green check mark that tells me that

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that AI speech has been completed.

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All right, AI speech completed and download is completed.

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All completed, perfect. Let's go ahead and play it.

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Hello, I am Jeremiah Minner.

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I am an instructor for Dion Training.

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There we go.

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This demonstrates how quickly an AI voice

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can be created and used.

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Though some of that generated speech

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sounded a bit mechanical,

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it's important to remember that this right here

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is as bad as AI generated voices will ever sound.

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From this point forward,

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they will only be getting better and better

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as technology advances,

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and attackers will only get better and better

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at implementing this type of deception.

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So remember, AI,

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or artificial intelligence manipulation attacks

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intentionally deceive AI systems

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to create harmful or misleading outcomes.

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These attacks often involve social engineering

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and deepfakes,

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both of which exploit human trust and digital platforms.

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Social engineering tactics use AI

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to create convincing, personalized interactions

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through chatbots or fake social media profiles,

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leading individuals to share sensitive information

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or perform specific actions.

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Deepfakes, on the other hand, use artificial intelligence

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to create realistic but false videos or audio,

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making it difficult for viewers to distinguish

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between genuine and fabricated content.

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As these attacks become more sophisticated,

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organizations need advanced security

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and verification methods

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to protect against AI-driven deception and misinformation.

