By the end of this station, you can:
- Explain what synthetic media and deepfakes are
- Use a verification routine before sharing surprising content
- Describe why copyright and consent matter when creating with AI
Seeing is no longer believing
AI tools can now generate realistic images, clone voices from short audio samples, and create video of people saying things they never said. Some uses are creative or fun. Others are used to deceive, embarrass, scam or spread false information.
Because this content is fast and cheap to make, the old habit of trusting a photo or video "because I saw it" isn't enough anymore. The new habit is checking where it came from.
Key terms
- Synthetic media
- Images, audio, video or text created or heavily altered by AI rather than captured directly from the real world.
- Deepfake
- Synthetic media that realistically shows a real person doing or saying something they did not actually do or say.
- Misinformation
- False or misleading information shared without necessarily intending harm. When it's spread on purpose to deceive, it's often called disinformation.
Myth vs. fact
MythYou can always spot a deepfake by looking for weird hands or blurry edges.
FactVisual glitches used to be common clues, but tools keep improving. Checking the source and context is more reliable than hunting for flaws.
MythAI detectors can reliably tell you whether something is AI-generated.
FactDetection tools can help, but they make mistakes in both directions. Treat their results as one clue, not a final answer.
Before you share: stop and check
Pause
Content designed to shock, outrage or amaze you is exactly the kind worth checking first.
Find the original source
Who first posted it? Is it from a credible outlet or the person's official account, or an anonymous repost?
Look for other coverage
If something major really happened, multiple trustworthy sources will usually report it. Search for it outside the platform where you saw it.
Trace the image
A reverse image search can show where an image appeared before and whether it's been altered or taken out of context.
Knowledge check 1
+10 XP on first tryCopyright: open questions
Generative AI raises copyright questions that courts and governments are still working through. Two big ones: Is it okay to train AI on copyrighted books, art and music without permission? And who, if anyone, owns what an AI generates?
The answers are evolving and differ from country to country. In the United States, the U.S. Copyright Office runs an initiative studying these issues and publishing guidance. This lesson isn't legal advice — but a good rule for students is to respect creators: don't pass off AI imitations of a specific artist's work as original, and follow your school's rules for using AI-generated media in projects.
Knowledge check 2
+10 XP on first tryLearn moreWhy labels and watermarks aren't a complete fix
Some AI companies add visible labels or hidden watermarks to generated content, and some platforms label AI media. These are useful signals when they're present.
But labels can be cropped out, not every tool adds them, and content gets re-uploaded without its original context. Your own verification habits still matter.
Sources for this lesson
- Mike Caulfield. SIFT (The Four Moves), 2019. Full citation
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