Deep Fake
AI-generated media (especially video and audio) that convincingly depicts real people saying or doing things they never actually said or did. Created using deep learning techniques.
Why It Matters
Deepfakes threaten democracy, personal privacy, and trust in media. Detecting and governing them is one of the most urgent challenges in AI governance.
Example
A video that appears to show a political leader making a controversial statement they never made, created by training a model on hours of their real footage.
Think of it like...
Like a master forger who can perfectly imitate any artist's style — except the forgery is a video or voice clip rather than a painting.
Related Terms
Synthetic Media
AI-generated or AI-manipulated content including images, audio, video, and text that can be difficult to distinguish from authentic content. This includes deepfakes and AI-generated voices.
Generative Adversarial Network
A framework where two neural networks compete — a generator creates fake data and a discriminator tries to tell real from fake. This adversarial process drives both networks to improve, producing increasingly realistic outputs.
Voice Cloning
AI technology that creates a synthetic replica of a specific person's voice from a small sample of their speech. Cloned voices can speak any text in the original person's vocal characteristics.