Thanks to deep learning and computer vision technologies, a new way to create fake but very Realistic videos, images, and even voices has emerged. This has been dubbed “Deepfake Technology.” Although creating fake videos or images of objects or individuals may seem like an Interesting pursuit, this technology could be used to share misleading information on the Internet. Individuals, as well as our communities, organizations, nations, religions, etc., may be at risk from Deepfake content. Since creating Deepfake content requires a high level of expertise and combines Multiple deep learning algorithms, it appears nearly authentic and real and is challenging to Distinguish.

To gain a deeper understanding of Deepfake technology, a variety of articles have been reviewed In this paper. We looked at a number of articles to learn more about Deepfake, including what it Is, who is behind it, whether it has any advantages, and what its drawbacks are. Additionally, we Have looked at a number of creation and detection methods. Despite the fact that Deepfake poses A threat to our societies, our research showed that this could be avoided with the right policies. Although artificial intelligence (AI) has transformed the production of digital content, its abuse Has resulted in an increase in deepfake and misinformation produced by AI, raising serious ethical And legal issues.