How DeepFakes AI Works?
The algorithms used in Deepfakes are based on artificial intelligence that is capable of masking the faces or manipulating the videos. It simply uses the GAN techniques that include both autoencoders and generators and learns from the given inputs, based on which the AI generates the output.
A report suggested that the total number of Deepfakes videos was 15,700 in 2019 which jumped over 85k by 2020 and crossed 100k by the end of 2021. Over time, technology has changed and improved the quality, but as per the experts, it will take years to achieve more accuracy.
What Are DeepFakes And How Dangerous Are They?
Did you hate the last season of Game of Thrones? Most probably! Did you also watch the online video of Jon Snow saying sorry for the horrible script of season 8? That video obviously wasn’t a real video as Jon Snow knows nothing! It was actually a fake but it looked so real. That’s because it was a DeepFake video made using Artificial Intelligence. Are you wondering what DeepFake is? Let’s check it out! DeepFake uses Deep Learning, a subset of Machine Learning, to create videos that look real but are actually fake. It is basically a technology that can replace the face of a person in an image or a video with so much precision that it looks real. Or it can make a person say something on a video that they never actually said in real life. “What you see is what you get” is no longer true on the internet because of DeepFakes. And that is how you can see Jon Snow blaming the last season of Game of Thrones when this never actually happened!
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