Deepfakes: By The Numbers

1. 60% of consumers have encountered a deepfake video within the last year. Only 15% state that they have never encountered a deepfake video. Source: Jumio

2. Human detection of deepfake images averages 62% accuracy. Human subjects identified high-quality deepfake videos only 24.5% of the time. Source: IEEE

3. 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. Source:Center for Democracy & Technology

4. 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. Source: Center for Democracy and Technology

5. 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. Source: iperoveftsure Deepfake statistics (2024): 25 new facts for CFOs - eftsure