Deepfakes, Seeing is Believing?

Claudia López Frías
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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.
深度伪造,眼见为实?
人工智能突然闯入我们的生活,如今已成为我们日常工作的一部分。最初,它代表着迄今为止限制人类的一切领域的巨大进步。但它似乎也存在着一系列我们才刚刚开始意识到的风险。人工智能衍生出的技术之一是 "深度伪造"(deepfakes)。"深度"(Deep)和 "伪造"(fake)是两个词的首字母缩写,"深度 "源于这些智能体如何通过深度学习(deeplearning)进行学习,"伪造 "则指虚假或伪造。这是一种广泛应用于视听领域的技术,无论是电影、电视还是其他类型的视频,效果都不尽相同。然而,在关键时刻,未经名人同意而使用他们的色情作品,或蓄意误导,这些都是这项技术的使用所面临的一些问题。当涉及到新闻时,这些问题似乎达到了一个临界点,因为对于观众来说,主持人通常享有更高的可信度。在本作品中,我们将尝试探讨人工智能在电视上的应用以及深度伪造、其用途和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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