Deep fakes
In fact, most known examples are popular in entertainment and as a means to express creativity. Why Are Deepfakes Dangerous?īecause they convincingly misrepresent reality, deepfakes come with several dangers, including online fraud, disinformation, hoaxes and revenge porn.īut firstly, we should clarify that not all deepfake applications are dangerous or of a dubious legal and ethical nature. This is why, with plenty of footage available, celebrity deepfakes were popular at first.īut as technology advances, it becomes easier to create deepfakes from single images or short sound recordings. The core challenge of the technology used to be the availability of training data for a given person. Moreover, there are commercial GAN services available should one lack the necessary computing power to run these models at home. GANs are pioneering technology in the field of computer vision and are very successful at generating images that resemble humans. The training procedure for G is to maximize the probability of D making a mistake.” “A generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. In layman’s terms, this means that two neural networks compete against one another, where the goal of one is to generate an image that the other will not be able to tell from its training data, and the goal of the latter is to avoid being fooled in this way. How Do Deepfakes Work?ĭeepfakes are generated via machine learning – more precisely, using deep learning and general adversarial networks (GANs). In fact, it already is, to a limited degree – as we will see below.
![deep fakes deep fakes](https://ichef.bbci.co.uk/images/ic/1200xn/p07hxc1p.jpg)
![deep fakes deep fakes](https://3w8dlo2orf8y3crtc22sslbh-wpengine.netdna-ssl.com/wp-content/uploads/2019/10/deepfake.jpg)
While there is a growing market of consumer apps that use deepfake technology for entertainment, such as FaceSwap, as the technology becomes more widespread and available, it will be deployed for nefarious purposes. “Deepfake” as a term comes from the combination of the words “deep learning” and “fake”, to represent something fake that is a result of deep learning technology. Also called “synthetic media”, it’s so convincing at mimicking the real thing that it can fool both people and algorithms.ĭeepfakes are AI-generated live, and their most common forms of application are either in videos or as augmented reality filters. A deepfake is generated video, image or audio that imitates the appearance and sound of a person.