Over a five-year period, computing methods for generating high-fidelity, fictional depictions of people and events moved from exotic demonstrations by computer science research teams into ongoing use as a tool of disinformation. The methods, referred to with the portmanteau of "deepfakes," have been used to create compelling audiovisual content. Here, I share challenges ahead with malevolent uses of two classes of deepfakes that we can expect to come into practice with costly implications for society: interactive and compositional deepfakes. Interactive deepfakes have the capability to impersonate people with realistic interactive behaviors, taking advantage of advances in multimodal interaction. Compositional deepfakes leverage synthetic content in larger disinformation plans that integrate sets of deepfakes over time with observed, expected, and engineered world events to create persuasive synthetic histories. Synthetic histories can be constructed manually but may one day be guided by adversarial generative explanation (AGE) techniques. In the absence of mitigations, interactive and compositional deepfakes threaten to move us closer to a post-epistemic world, where fact cannot be distinguished from fiction. I shall describe interactive and compositional deepfakes and reflect about cautions and potential mitigations to defend against them.
翻译:五年来,计算机科学研究团队从异国演示中将人和事件从异端展示中传来计算方法,产生高忠诚度、虚构描绘人和事件的计算方法,不断用作假信息的工具。这些方法与“深假”的门厅一起被使用,产生了令人信服的视听内容。在这里,我分享了对两类深假的恶意使用的挑战,我们预计这两类深海假象会对社会产生昂贵的影响:互动和成形的深假。交互式深假有可能利用多式联运互动的进步,以现实的互动行为为人模仿,使人更接近后后的世界,从而在大型的虚假信息计划中利用合成内容,将深假相结合与观察、预期和设计的世界事件相结合,以创造有说服力的合成历史。合成历史可以手工构建,但有一天可以以对抗性基因化解释(AGE)技术为指导。在没有缓解、互动和成形的深层假象的情况下,有可能使我们更接近后的世界,在这个世界中无法区分事实与深层次的缓解和隐形成。我应该描述和描述互动的描述和隐喻。