Deepfakes
Synthetic media created using AI to realistically replace or manipulate a person's face or voice in videos or images, often used to deceive.
In Plain English
Deepfakes are AI-created videos, audio, or images where a person's face or voice has been digitally replaced with someone else's in a way that looks convincingly real. They're made using deep learning techniques (hence the name) that analyze thousands of images or voice samples of a person to understand how they look and sound, then generate new footage of them doing or saying things they never actually did. While the technology has legitimate uses in entertainment and education, deepfakes are increasingly used to spread misinformation, impersonate people, or damage reputations. The risk is high because they're becoming harder to detect with the naked eye, which is why platforms like YouTube are developing detection tools to warn viewers.
💡Real-World Example
A video surfaces on social media showing a politician saying something inflammatory. Many viewers assume it's real, but it turns out to be a deepfake—AI generated a video of the politician's face speaking words they never said. YouTube's detection tool would ideally flag the video to warn viewers it may be synthetic before it spreads further.
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