Lesson 1028 of 1234
AI and Pretending to Be Someone Else Online
AI can make fake voices and faces — but using it to trick people is not okay.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2deepfakes
- 3honesty
- 4tricking people
Concept cluster
Terms to connect while reading
Section 1
The big idea
AI can copy how someone looks or sounds, but using that to trick people into believing something untrue is a kind of lie.
Some examples
- Making a fake video of a friend saying something they didn't say.
- Using AI to copy a teacher's voice as a prank.
- Pretending to be an adult online using an AI face.
Try it!
If a friend shows you a 'video' of someone, ask: 'How do we know this is real?' That's a good question to ask grown-ups too.
What Is a Deepfake?
AI can study thousands of photos of a person and learn to copy their face. It can study recordings of their voice and learn to sound just like them. The result is called a deepfake — a picture or video of someone that looks totally real but was made by AI, not a camera. Deepfakes can make it look like a person said or did something they never actually did.
- It can hurt the real person's feelings or reputation.
- It confuses people about what is true.
- It can make friends feel unsafe or embarrassed.
- Once something is shared online, it is very hard to take back.
- Even a 'joke' deepfake can cause real pain.
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “AI and Pretending to Be Someone Else Online”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Adults & Professionals · 9 min
AI and Deepfake Consent Policy: Drafting a Likeness-Use Standard
AI scaffolds a consent policy for synthetic likeness use that survives legal review and creator pushback.
Explorers · 40 min
AI and Why Cheating With It Hurts You
Why using AI to do all your homework is bad for you.
Adults & Professionals · 10 min
Bias Auditing in LLM Outputs: Seeing What the Model Can't
LLMs inherit the skews of their training data and RLHF feedback. Auditing for bias isn't a one-time test — it's an ongoing practice that belongs in every deployment.
