Recent advancements in AI, and especially Generative Adversarial Networks, have made content-manipulation tools that can create realistic images and videos, accessible to the public. The Deep-Fakes, and their simple but more common variants, also known as Shallow-Fakes, have already undermined trust in democracy, incited violence and damaged the reputation of brands and individuals. This has motivated the research of technologies that can catch the fakes, such as AdVerif.ai. In this session, Or Levi - Founder of AdVerif.ai, will cover the current state of AI for detecting fakes while discussing its potential and limitations. We will take a look at recent examples of the Deep-Fakes epidemic, including the Fake News generator developed by OpenAI that was deemed too dangerous for public release. Learn how AI can help fight Fake News with a spectrum of tools, ranging from Machine Vision for detecting manipulated images to Natural Language Processing for identifying psycho-linguistic cues, and data pipelines for Deep Learning at the scale of billions of items.