Advances in artificial intelligence and deep neural networks have led to a rise in synthetic media, i.e., automatically and artificially generated or manipulated photo, audio, and video content. Synthetic media today is highly believable and “true to life”; so much so that we will no longer be able to trust what we see or hear is unadulterated and genuine. Among the different forms of synthetic media, the most concerning forms are deepfakes and general adversarial networks (GANs). For IT professionals, it is important to understand what these new phenomena are. In this article, we explain what deepfakes and GANs are, how they work and discuss the threats and opportunities resulting from these forms of synthetic media.

中文翻译：

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“我周围都是合成面孔”：人工智能生成媒体的疯狂世界

人工智能和深度神经网络的进步导致合成媒体的兴起，即自动和人工生成或操纵的照片、音频和视频内容。今天的合成媒体高度可信且“栩栩如生”；如此之多，以至于我们将不再能够相信我们所看到或听到的东西是纯正的和真实的。在不同形式的合成媒体中，最令人关注的形式是深度伪造和通用对抗网络 (GAN)。对于 IT 专业人员来说，了解这些新现象是什么很重要。在本文中，我们将解释什么是 deepfakes 和 GAN，它们是如何工作的，并讨论这些合成媒体形式带来的威胁和机遇。