Misinformation March

AI-generated fake videos are becoming more common (and convincing). Here’s why we should be worried

Deepfakes use deep learning artificial intelligence to replace the likeness of one person with another in video and other digital media.

Deepfakes, a portmanteau of “deep learning” artificial intelligence (AI) and “fake media,” are becoming more common, and a better understanding of what they are and how they work “is vital in the current information landscape,” said John Mack Freeman, Suwanee branch manager for Gwinnett County Public Library, GA, in an hour-long presentation as part of this year’s Core Top Tech Trends panel at the American Library Association’s Midwinter Virtual Meeting.

How do you spot a DeepFake? How good are DeepFake videos? How well can ordinary people tell the difference between a video manipulated by AI and a normal, non-altered video? Rather than try to explain in words, we built the Detect Fakes website so you can see the answer for yourself.

University at Buffalo deepfake spotting tool proves 94% effective with portrait-like photos, according to study

Deepfake is one of the applications that is deemed harmful. Deepfakes are a sort of image or video manipulation in which a person’s image is changed or swapped with that of another person’s face using artificial neural networks. Deepfake manipulations may be done with a variety of techniques and applications. A quintessential countermeasure against deepfake or face manipulation is deepfake detection method. Most of the existing detection methods perform well under symmetric data distributions, but are still not robust to asymmetric datasets variations and novel deepfake/manipulation types. In this paper, for the identification of fake faces in videos, a new multistream deep learning algorithm is developed, where three streams are merged at the feature level using the fusion layer. After the fusion layer, the fully connected, Softmax, and classification layers are used to classify the data.

Story by Arianna Johnson, Forbes Staff • 20h • 4 min read