#deepfake videos

Intel on November 14 introduced what it claims to be the world's first deepfake detector that can return results in milliseconds with 96% accuracy rate. In contrast, FakeCatcher looks for authentic clues in real videos, by assessing what makes us human – subtle “blood flow” in the pixels of a video," Intel explained in a blog post. Deepfakes are usually fake videos that use artificial intelligence to copy a person's face to another in an attempt to convince people that they are the one who appears on the video. In contrast to real videos, the blood flow may be absent in the deepfakes. FakeCatcher's ability to detect whether a video is fake or not in real-time immediately prevents further spread of deepfake that might influence people. This is something that other existing deepfake detection apps lack that usually require uploading videos for analysis, thus waiting hours for results. "Deception due to deepfakes can cause harm and result in negative consequences, like diminished trust in media. Because of these, Facebook now puts a cover over potentially-graphic videos that warns the user of its nature and asks for consent before it plays. This safety measure also disables those videos from auto-playing (a feature they rolled out previously). Read more in our articles including "Intel intros 'world's first' real-time deepfake detector" and "Facebook now covers violent content on your news feed".