围绕深度伪造的人工智能、虚假信息和媒体扫盲建议

Miriam Garriga, Raquel Ruiz-Incertis, Raúl Magallón-Rosa
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引用次数: 0

摘要

人工智能的作用及其在新的虚假信息战略中的地位也许是当今最难关注的问题之一,因为我们正处于定义和探索方法的起步阶段。在本文中,我们首先分析了目前应用于人工智能监管的不同方法,这些方法可能会影响正在确定的不同虚假信息战略。其次,我们研究如何利用人工智能来识别虚假信息内容。在这方面,从验证过程的角度来看,主要挑战之一是识别与新闻周期相关的深度伪造内容(主要是图片和视频)。从这个角度出发,我们提出了深层伪造的类型学,并将根据西班牙事实核查组织进行的核查描述其主要特征。最后,将从媒体扫盲的角度提出一套识别深度假新闻的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence, disinformation and media literacy proposals around deepfakes
The role of artificial intelligence and its place in the new disinformation strategies is perhaps one of the most difficult issues to focus on nowadays, since we are at the beginning of a process of definition and ways of exploration. In this paper, first of all, we analyze the different approaches that are being applied to the regulation of artificial intelligence and that may affect the different disinformation strategies that are being identified. Secondly, we study how artificial intelligence is being used to identify disinformation content. In this regard, from the point of view of verification processes, one of the main challenges is when identifying deepfakes (images and video, mainly) linked to news cycles. From this perspective, a typology of deepfakes is proposed and its main characteristics will be described according to the verifications carried out by the Spanish fact-checking organizations. Finally, a set of recommendations will be presented to work from a media literacy point of view with the identification of deepfakes.
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