SocietyAI glossary
Deepfake
AI-generated fake content (face, voice, video) with such realism that it becomes hard to tell apart from the real thing. Used for entertainment, but also for political disinformation and scams: you can no longer take a video at face value.
In other words
Photoshop applied to video and voice, but so convincing that the trickery is no longer visible to the naked eye.
Alyriaz articles that mention it
- An AI made of light spots deepfakes
An AI from the University of California uses light to analyse 15 videos at once and spots deepfakes with near-98% accuracy. Its limitations too.
- AI and electoral disinformation: what has actually changed
The catastrophic predictions about AI and elections did not exactly come true. We examine what actually happened, why the main danger is different, and what protects us nonetheless.
- Can we still believe what we see?
Photography long functioned as proof, because faking it was expensive. That economy has reversed. We explore what becomes of visual trust when the image ceases to be testimony, and what takes over.
- From today, all AI-generated images must carry an invisible signature in California.
On 2 August 2026, California's SB 942 law comes into force: generative AI providers with over one million monthly users in the state must embed a provenance marker in every image, video and audio they produce, and offer a free public detection tool. We explain what this changes in practice.
- AI voice cloning: the new wave of fraud exploding in 2026
While video deepfakes monopolise attention, a more insidious threat is taking hold: AI voice cloning. Three seconds of recording is enough. And the financial damage is already massive. Here is the precise state of a fraud that now affects isolated seniors and finance directors of listed companies alike.
- Deepfakes: what this technology really changes in our relationship with images
This article addresses the subject of non-consensual deepfakes, including those of a sexual nature. The tone is factual, not activist. The aim is to understand what is genuinely changing in our relationship with images in 2026, without dramatising or downplaying it. No graphic description is given; only the data and the legal reality are analysed.