人工智能在多媒体深度伪造创作与检测中的应用

Moaiad Ahmed Khder, Samer Shorman, Duaij Thabit Aldoseri, Mohammed Mansoor Saeed
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引用次数: 0

摘要

人工智能已经使深度造假或与真实视频非常相似的假视频具有商业可行性(AI)。根据我们的研究,人们不太可能相信社交媒体上的新闻,但他们也更容易怀疑,而不是被深度造假所愚弄。这一发现结合了视觉沟通的有效性和不确定性如何削弱公众话语信心的观点。本文的方法将基于回顾相关文章来探索深度造假的主要组成部分和解决方案。本文将用人工智能工具研究和回顾深度造假及其在不同多媒体中的影响。因此,我们得出结论,深度造假可能会增加对大多数在线资源的普遍不信任和怀疑,从而增加对国家和在线公民文化已经存在的危害。
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 into Multimedia Deepfakes Creation and Detection
Artificial intelligence has enabled deepfakes, or fake videos that closely resemble real ones, commercially viable (AI). As according to our research, people are less likely to believe social media news, but they are also more likely to be dubious than to be fooled by deepfakes. This finding combines ideas about how effective visual communication is and how uncertainty weakens public discourse confidence. The methodology for this article will based on reviewing the related articles to explore the main components and solutions in the deepfakes. In this article will study and review the deepfakes and it impacts in different multimedia with AI tools. Therefore, that conclude that deepfakes may increase already existing hazards to countries and online civic cultures by increasing general mistrust and doubt in the most of online resources.
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