artificial intelligence aigenerated fake videos that can easily manipulate regular users are now a common thing these videos have emerged as modern computers have gotten much better at simulating reality for example modern cinema depends a lot upon computergenerated sets scenery characters and even visual effects these digital locations and props have replaced the physical ones as these scenes are hardly distinguishable from reality one of the latest common things in computer imagery deepfakes are designed by programming ai to make a person look like another one in a recorded videowhat are deepfakes the term deepfake has derived from a form of artificial intelligence called deep learning as the name suggests deepfakes use deep learning to make images of fake events deep learning algorithms can teach themselves how to solve problems involving large sets of data this technology is then used to swap faces in videos and other digital content to make realisticlooking fake media moreover deepfakes are not just limited to videos this technology can be used to create other fake content like images audio etc how do they workthere are multiple methods for creating deepfakes however the most common one depends on using deep neural networks that involve autoencoders to apply a faceswapping technique usually these are made on a target video that is used as the basis of the deepfake and then ai uses a collection of video clips of the person you want to insert in the target to replace the actual person in the video the autoencoder is a deep learning ai program that can study several video clips to understand what a person looks like from different angles and situations by finding common features it maps and replaces the face of the person with the one in the target video generative adversarial networks gans are another type of machine learning that can be used to create deepfakes gans are more advanced as they make it harder for deepfake detectors to decode them as it uses multiple rounds to detect and improve flaws in the deepfake experts believe that deepfakes will become far more sophisticated as technology develops nowadays generating deepfakes is even easy for beginners as several apps and softwares help in creating them github a software development open source community is also a place where a huge amount of deepfake software can be found how can you detect deepfakesonline users have also become more aware and attuned to detecting fake news for cybersecurity to enhance more deepfake detecting technology needs to emerge to prevent misinformation from spreading previously deepfakes were detected by following the blinking of the person in a video when a subject never blinks or blinks very frequently or unnaturally there is a possibility for the video being a deepfake however newer deepfakes were able to overcome this problem another way of detecting a deepfake is by monitoring skin hair or faces that may seem blurrier than the environment in which theyre placed and the focus might look unnaturally soft sometimes