英倫翻譯社/ Trsmaster

中英對照讀新聞》What is Deepfake? 「深度偽造」是什麼？

Deepfakes rely on a branch of AI called Generative Adversarial Networks (GANs). It requires two machine learning networks that teach each other with an ongoing feedback loop. The first one takes real content and alters it. Then, the second machine learning network, known as the discriminator, tests the authenticity of the changes.
「深度偽造」依賴人工智慧（AI）的分支「生成對抗網路」（GAN）。「生成對抗網路」責成兩個機器學習網路，透過不斷生成的回饋迴路互相學習。第一個「機器學習」網路變造真實的內容。然後，第二個機器學習網路「資料辨識器」，對這些更動進行鑑識
GANs are still in the early stages, but people expect numerous potential commercial applications. For example, some can convert a single image into different poses. Others can suggest outfits similar to what a celebrity wears in a photo or turn a low-quality picture into a high-resolution snapshot.
「生成對抗網路」仍處於初步發展階段，但人們預期它在商業應用上擁有巨大潛力。例如，它可以將單張影像變換成不同的姿勢。它們可以找出名人在照片中所穿的類似服裝，或將低畫質的照片轉換為高解析度的快照。
But, outside of those helpful uses, deepfakes could have sinister purposes. Consider the blowback if a criminal creates a deepfake video of something that would hurt someone’s reputation — for instance, a deepfake video of a politician "admitting" to illegal activities, like accepting a bribe.
然而，除了正向的應用之外，也會有居心不良的「深度偽造」。倘若罪犯創造出一部妨害他人名聲的深度偽造影片，例如讓一名政治人物「承認」接受賄賂等違法行為的一部深偽影片，所造成的衝擊將難以衡量。

英倫翻譯社轉自:https://features.ltn.com.tw/english/article/paper/1329588