Deepfakes, Seeing is Believing?

Keywords: deepfake, artificial intelligence, disinformation, new technologies

Abstract

Artificial intelligence has burst into our lives and today it is a constant in our routines. Initially, it represented a great advance in everything that until now limited the human being. It also seems to have a series of risks that we are only beginning to be aware of. One of the technologies derived from AI is that of deepfakes, words that arise as an acronym when combining Deep, coming from how these intelligences learn, through deeplearning, and fake, whose translation would be false or falsification. It is a technology widely used in audiovisuals, both for cinema, television, or other types of videos, with variable results. However, the use of pornography of celebrities without their consent, or the deliberate interest in misinforming, at critical moments, are some of the problems faced by the use of this technology. Something that seems to reach a critical point when it comes to news since the presenters usually enjoy greater credibility for the viewer. Throughout this work, we will try to approach the use of artificial intelligence on television as well as Deepfakes, their uses, and risks.

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@Shayan86 (Shayan Sardarizadeh, 2022) President Zelensky has uploaded a video to refute the fake video of him in the tweet above or that he ever called on his troops to lay down their arms. TV24's hacked website still has a screenshot of the fake video along with a transcript of it. X. https://twitter.com/Shayan86/status/1504106312115888130

Published
2023-12-05
How to Cite
López Frías, C. (2023). Deepfakes, Seeing is Believing?. Postmodernism Problems, 13(3), 294-306. https://doi.org/10.46324/PMP2303294