Deepfakes: By The Numbers
Last updated
Last updated
60% of consumers have encountered a deepfake video within the last year. Only 15% state that they have never encountered a deepfake video.
Human detection of deepfake images averages 62% accuracy. Human subjects identified high-quality deepfake videos only 24.5% of the time.
Only 38% of students have received guidance from their schools on how to identify AI-generated images, texts, or videos, despite a desire for such training expressed by 71% of students. A significant gap exists in educating students about identifying AI-generated content, with only 38% receiving guidance despite 71% expressing a need for such training.
Only 22% of students feel very confident in their ability to detect whether an image they are viewing was generated with AI versus produced by a human. Many students lack confidence in discerning AI-generated images, highlighting a critical need for improved media literacy education.
DeepFaceLab is used for over 95% of all deepfake videos. Available as open source code on GitHub, DeepFaceLab utilizes artificial neural networks to replicate visual and auditory features from an original video onto a target video. eftsure