Such actions are created by the help of deep learning and generative neural network architectures, such as autoencoders or generative adversarial networks (GANs). These are synthetic media such as Audio and Videos where your face or even your voice could be replaced by someone else to create a false portrayal. Deep learning technology such as Machine Learning and AI along with the word Fake to create false information by forging the actual data. Let us learn more about DeepFake and its impact.ĭeepFake is the combination of two words i.e. They have been taking proper measures so that it does not reach the mainstream platforms and create an impact over the world and the lives of other people. With the widespread nature of such activities, a lot of social media platforms have banned anyone who is found sharing such forged videos or audios. But no one knows when this can take a much more dangerous turn if it gets into the hands of wrong people. However, such videos and audios are being used only as a part to prank or in a harmless manner. Well, DeepFake videos aren’t the same but on a much-advanced level. You must have used the face swap feature by Snapchat where you can take up the face of your friend or anyone being on the camera at the same time. Who would have thought that people can think of something such as DeepFake and create havoc? However, it can be a lot more dangerous than one could ever hope for.

We have come a long way with the advancement in these technologies and the implications have been of great use to mankind. The use of deep fake videos and Audio integrations have increased over the years with the use of AI and machine learning technology.

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