Deepfakes are so named as the technology used to create fake, but extremely believable video and media representations, is based on deep learning; a branch of machine learning that applies neural net simulation to massive data sets. AI enabled platforms gather data on a source face and transpose the face onto a target, very similar to wearing a mask in old spy movies. The field is advancing through generative adversarial networks (GANS) to pit two AI algorithms against each other, one creating the fakes and the other grading its efforts, teaching the synthesis engine to make better forgeries.
The technology is mainly developed to support and solve real time problems in the cinema world. The technology used in many Hollywood movies to transpose real or fictional faces onto other actors. Even simple application tools; FakeApp and DeepFaceLab, can be used to produce impressive results.
So, Deepfake technology provides exciting opportunities for the entertainment and gaming industry that range from editing, dubbing, refining and repairing video. To resolving the uncanny valley effect in video games, the creation of real time simulation apps that allow us to try on clothes or hairstyles, and even to train medical professionals.
However, with worrying frequency, the technology is being misused by unethical practitioners to manipulate facts and create false media featuring politicians and celebrities. The misuse of Deepfakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yield fabricated images and sounds that appear to be real without legal permission of the source. According to a MIT technology report, a device that enables Deepfakes can be “a perfect weapon for purveyors of fake news who want to influence everything from stock prices to elections.”
There is huge scope for the use of this technology for both ethical and unethical usage.
The more detailed application will be discussed in upcoming white paper…keep checking
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