Glossary · Definition
Deepfake
Deepfake is AI-generated synthetic media — most often video or audio — that impersonates real people. The term combines 'deep learning' + 'fake.' By 2026, technology is widely accessible; detection + legal responses are evolving.
Definition
Deepfake is AI-generated synthetic media — most often video or audio — that impersonates real people. The term combines 'deep learning' + 'fake.' By 2026, technology is widely accessible; detection + legal responses are evolving.
What it means
Generative AI for video (Sora, Veo, Runway) and voice cloning (ElevenLabs, OpenVoice) reached convincing realism by 2024-2026. Major use cases include legitimate (film VFX, accessibility, language dubbing) and harmful (non-consensual imagery, financial fraud, election interference). Detection lags generation — common signals (subtle face artifacts, eye blink patterns, voice pitch wobble) get harder to spot as models improve.
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Why it matters
Deepfakes affect everyone: fraud risk (CEO voice-clone scams), reputational risk (non-consensual imagery), trust (you can't auto-believe video evidence anymore). Defenses: provenance via C2PA (Content Authenticity Initiative), watermarking by major models, legal frameworks (US TAKE IT DOWN Act 2025, EU AI Act articles on deepfakes).
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Frequently asked questions
Detection?
Imperfect. Tools: Microsoft Video Authenticator, Sensity, Reality Defender, Hugging Face's deepfake detectors. Best practice: don't rely on a single signal; verify via multiple sources.
Legal status?
Non-consensual intimate deepfakes are illegal in most US states + EU + UK as of 2026. Political deepfakes face emerging regulation. Voice-cloning fraud falls under existing fraud laws.