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