Deep fakes are a serious threat to society and business. On //next, we have talked about the risks several times. To counteract them, awareness measures, technological solutions, strict laws and the promotion of media competence are necessary, says Sima Krause from ERGO's Information Security Team.
Deep Fake is a term used to describe technology that allows digital media content such as videos, images and audio recordings to be manipulated to appear genuine when in fact they are fake.
The term "Deep Fake" is derived from "Deep Learning" and "Fake" and refers to the use of artificial intelligence to create manipulated content.
The technology is based on generative neural networks (GANs), which are able to recognise and reproduce certain patterns and features in data. In the case of Deep Fakes, GANs are used to change the appearance of faces in videos, imitate people's voices or even create completely fake content.
Common uses of deep fakes are
Deep Fakes can be misused to spread misinformation, violate individuals' privacy, create fake news and for other malicious purposes. It is therefore important to be aware of the dangers of deep fakes and to use techniques to detect and combat such content.
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