deepfake

Deepfakes (a portmanteau of 'deep learning' and 'fake') are images, videos, or audio which are edited or generated using artificial intelligence tools, and which may depict real or non-existent people. They are a type of synthetic media and modern form of a media prank.
While the act of creating fake content is not new, deepfakes uniquely leverage the technological tools and techniques of machine learning and artificial intelligence, including facial recognition algorithms and artificial neural networks such as variational autoencoders (VAEs) and generative adversarial networks (GANs). In turn the field of image forensics develops techniques to detect manipulated images. Deepfakes have garnered widespread attention for their potential use in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud.
Academics have raised concerns about the potential for deep fakes to be used to promote disinformation and hate speech, and interfere with elections. The information technology industry and governments have responded with recommendations to detect and limit their use.
From traditional entertainment to gaming, deepfake technology has evolved to be increasingly convincing and available to the public, allowing for the disruption of the entertainment and media industries.

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