Paper Key : IRJ************493
Author: Gaurav Shinde
Date Published: 08 Nov 2024
Abstract
AI had transformed industries altogether. And, in that list of video manipulation changes, the most trending one is Deepfakes. This is perhaps one of the finest examples of such revolution. The technology employed by this deepfake uses AI techniques, especially deep learning and GANs, for creating videos that look highly believable, or rather, fake. Such videos can even manipulate faces, voices, and actions in ways that look very real. Some experts even get confused about the genuineness of these videos. Deepfakes have exciting potential in entertainment, education, art, filmmaking, virtual reality, and even historic reenactments. However, there's a dire risk involved with deepfakes. The same technology that enables creative, harmless uses can be exploited for purposes that might be harmful. Deepfakes can be used to share misinformation, create fake news, or even defame some individuals by making it seem like they said or did something that they didn't. It presents huge privacy risks, where the likenesses of individuals can be manipulated without consent. This paper aims to penetrate the technology behind deepfakes, based on the just how AI and ML algorithms, like deep learning and GANs, functionally operate to produce realistic video content. Additionally, this paper will examine the societal impacts of deepfakes, with an emphasis on the harm they can do to privacy, trust, and the credibility of media. After all, when more and more deepfakes are being perpetrated, people begin to lose trust in their view of the online world-it will be an issue for the individual and for society at large. The subsequent paper addresses these questions and shows the menace that deepfakes pose to personal privacy, the diffusion of false information, and the integrity of digital content as a whole.