Deepfake

Deepfakes (a <a href="/facts/Portmanteau/d124JEbz">portmanteau</a> of '<a href="/facts/Deep_learning/JLuwD3ea">deep learning</a>' and 'fake') are images, videos, or audio that have been edited or generated <a href="/facts/Generative_artificial_intelligence/ykT3GGyT">using artificial intelligence</a>, AI-based tools or AV editing software. They may depict real or fictional people and are considered a form of <a href="/facts/Synthetic_media/5SIGFwyM">synthetic media</a>, that is media that is usually created by artificial intelligence systems by combining various media elements into a new media artifact.
While the act of creating fake content is not new, deepfakes uniquely leverage <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> and <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> techniques, including <a href="/facts/Facial_recognition_system/mtVxaDln">facial recognition</a> algorithms and artificial <a href="/facts/Neural_network_(machine_learning)/6V1jMlkx">neural networks</a> such as <a href="/facts/Variational_autoencoder/I5wBbYpR">variational autoencoders</a> (VAEs) and <a href="/facts/Generative_adversarial_network/SGNuGrlo">generative adversarial networks</a> (GANs). In turn, the field of image forensics develops techniques to <a href="/facts/Artificial_intelligence_content_detection/YVpMlHHU">detect manipulated images</a>. Deepfakes have garnered widespread attention for their potential use in creating <a href="/facts/Child_sexual_abuse/JFt4u8Mv">child sexual abuse</a> material, <a href="/facts/Celebrity_sex_tape/Sh51C8lj">celebrity pornographic videos</a>, <a href="/facts/Revenge_porn/g54jgz6R">revenge porn</a>, <a href="/facts/Fake_news/nuT9xhDT">fake news</a>, <a href="/facts/Hoax/AsSvg6Tp">hoaxes</a>, <a href="/facts/Bullying/PUdL7WtY">bullying</a>, and <a href="/facts/Accounting_scandals/uuNk65lG">financial fraud</a>.
Academics have raised concerns about the potential for deepfakes to promote disinformation and hate speech, as well as interfere with elections. In response, the <a href="/facts/Information_technology/glMzunwe">information technology</a> industry and governments have proposed recommendations and methods to detect and mitigate their use.
From traditional <a href="/facts/Entertainment/XXRnLM62">entertainment</a> to <a href="/facts/Video_game/vmTdNASJ">gaming</a>, deepfake technology has evolved to be increasingly convincing and available to the public, allowing for the disruption of the entertainment and <a href="/facts/Media_industry/M1UE4TTp">media</a> industries.

Deepfake open-in-new

Deepfake