Investigation of Future Challenges of Deep Learning and Artificial Intelligence in Detecting Deep Fake

Recent advancements in technology have led to the emergence of deep learning. In these advancements, deep learning models are utilized for generating realistic images, speech, and videos. This development can pose threats to privacy, democracy, and national security. One of the recent technologies based on deep learning that has emerged is deepfakes. Deepfake algorithms can create synthetic images and videos that humans cannot distinguish from authentic ones. Therefore, proposing methods for evaluating and identifying fake content from real ones is essential. In this article, first, the algorithms used to create deepfakes are examined. Then, a comprehensive review of the background of deepfakes is conducted, followed by an overview of the methods for detecting deepfakes. As a result, the best deep learning detection methods to prevent the resulting problems are highlighted.