Deepfake AI

Deep Fake

Deepfake AI is a type of artificial intelligence used to create convincing images, audio and video hoaxes. The term describes both the technology and the resulting bogus content, and is a portmanteau of deep learning and fake.

Deepfakes often transform existing source content where one person is swapped for another. They also create entirely original content where someone is represented doing or saying something they didn’t do or say.

The greatest danger posed by deepfakes is their ability to spread false information that appears to come from trusted sources. For example, in 2022 a deepfake video was released of Ukrainian president Volodymyr Zelenskyy asking his troops to surrender.

Concerns have also been raised over the potential to meddle in elections and election propaganda. While deep fakes pose serious threats, they also have legitimate uses, such as video game audio and entertainment, and customer support and caller response applications, such as call forwarding and receptionist services.

How can you detect deep fake?

There are various techniques and tools available for detecting deepfakes. Here are some of the best deepfake detection tools and techniques available as of January 2024:

  1. Sentinel: A leading AI-based protection platform that helps democratic governments, defense agencies, and enterprises stop the threat of deepfakes.
    The system works by allowing users to upload digital media through their website or API, which is then automatically analyzed for AI-forgery.
  2. Intel’s Real-Time Deepfake Detector: A real-time deepfake detector known as FakeCatcher. This technology can detect fake videos with a 96% accuracy rate, returning results in milliseconds.
    The detector uses Intel hardware and software, running on a server and interfacing through a web-based platform.
  3. FaceForensics++: A deepfake detection method that uses a combination of deep learning and image processing techniques to detect facial manipulations in videos.
    The system works by analyzing the differences between the original and manipulated images and videos.