This article discusses the latest methods of detecting false information and verifying the authenticity of statements based on artificial intelligence. The use of neural networks for text classification, computer vision and image and video processing methods, as well as natural language processing algorithms are discussed as promising solutions for deception detection. The article emphasizes the accuracy and effectiveness of these methods in identifying true and false statements. In particular, problems with ensuring the accuracy of artificial intelligence models and the need to stay ahead of developing technologies used to create falsifications are noted. In conclusion, the authors came to the idea that there is an urgent need for the development of methods for deception detection based on artificial intelligence, which further makes it possible to detect misinformation in a timely manner and determine methods for their elimination.