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  • We're entering an era in which our enemies can make anyone say anything at any point in time.”

    「我們正進入一個新時代,我們的敵人能讓任何人在任意時間說任何話。」

  • Jordan Peele created this fake video of President Obama to demonstrate how easy it was to put

    喬登·皮爾創作這部歐巴馬的假影片來證明,用沒說過的話來誣賴一個人

  • words in someone else's mouth-

    有多麼容易

  • moving forward we need to be more vigilant with what we trust from the internet.

    在時代進步的同時,我們要更警惕該多相信網路上的東西

  • not everyone bought it, but the technology behind it is rapidly improving, even as worries

    不是每個人都被騙到,但是影片背後的科技正在快速進步,同樣對潛在傷害的擔憂

  • increase about its potential for harm.

    也在持續增加

  • This is your Bloomberg QuickTake on Fake Videos.

    這部影片是彭博快訊關於假影片的報導

  • Deep fakes, or realistic-looking fake videos and audio, gained popularity as a means of

    人工智能換臉,或逼真的假影片和聲音越來越受歡迎,因為它可以將

  • adding famous actresses into porn scenes.

    女明星加入色情片場景中

  • Despite bans on major websites, they remain easy to make and find.

    儘管在大型網站上被禁止,還是很容易製作或發現假影片

  • They're named for the deep-learning AI algorithms that make them possible.

    人工智能換臉是以人工智慧演算法中的深度學習命名,也是因這項技術讓假影片得以製作

  • Input real audio or video of a specific person- the more, the better- and the software tries

    放入某個人的真實聲音或影片,越多越好,而這項產品會試著

  • to recognize patterns in speech and movement.

    找出講話時的模式和動作

  • Introduce a new element like someone else's face or voice, and a deep fake is born.

    引入一個新的元素像是別人的臉或聲音,一個人工智能換臉便誕生了

  • Jeremy Kahn: It's actually extremely easy to make one of these thingsthere was just

    傑里米·卡恩:其實做這些東西超簡單的,這只是

  • some breakthroughs from academic researchers who work with this particular kind of machine

    一些學術研究者在過去幾週特別研究這種特定的機器學習

  • learning in the past few weeks, which would drastically reduce the amount of video you

    並有所突破,讓我們製作這種假影片所需的影片數量

  • need actually to create one of these.

    比起以前急遽減少

  • Programs like FakeApp, the most popular one for making deep fakes, need dozens of hours

    FakeApp 這樣的程式,是之前製作換臉假影片最受歡迎的程式,需要幾十小時的

  • of human assistance to create a video that looks like this rather than this, but that's

    人為協助才能製作吃一個像這樣的影片,而不是這樣的,但是

  • changing.

    這都在變了

  • In September researchers at Carnegie-Mellon revealed unsupervised software that accurately

    今年九月,卡內基美隆大學的研究員發表一種無人監管的軟體,可以準確的

  • reproduced not just facial features, but changing weather patterns and flowers in bloom as well.

    不僅能重製臉部表情,還能改變天氣模式和花朵開花

  • But with increasing capability comes increasing concern.

    但隨著這項技術的發展,擔憂也隨之而來

  • You know, this is kind of fake news on steroids potentially.

    你知道的,這也潛在的,會讓假新聞發展到極端的技術

  • We do not know of a case yet where someone has tried to use this to perpetrate a kind

    目前還沒有案例是某人試圖用這項技術去進行某種

  • of fraud or an information warfare campaign, or for that matter, to really damage someone's

    詐欺或資訊戰,或為了資訊戰去真的損害某人的名聲

  • reputation, but it's the danger that everyone is really afraid of.

    但這危險也是每個人都非常害怕的

  • In a world where fakes are easy to create- authenticity also becomes easier to deny.

    在一個換臉假影片能很容易製作的世界,也變得越來越容易否定事情的可信賴性

  • People caught doing genuinely objectionable things could claim evidence against them is

    人們被抓到在做真的不該做的事情時,可以聲稱那些危害他們的證據是

  • bogus.

    假的

  • Fake videos are also difficult to detect, though researchers and the US Department of

    假影片也很難偵測,雖然研究員和美國國防部

  • Defense, in particular, have said they're working on ways to counter them.

    特別強調他們正在找出可以反擊假影片的方法

  • Deep Fakes do however have some positive potential- take CereProc, who creates digital voices

    然而,人工智能換臉也有一些正向的潛力,就以 CereProc 為那些因疾病而失去自己聲音的人

  • for people who lose theirs from disease

    創造出數位聲音為例

  • There are also applications that could be considered more value-neutral, like the many,

    也有一些應用是更加價值中立的,像許多

  • many deep fakes that exist solely to turn as many movies as possible into Nicolas Cage

    許多人工智能換臉完全是為了要將更多影片轉換成尼可拉斯·凱吉

  • movies.

    的電影

We're entering an era in which our enemies can make anyone say anything at any point in time.”

「我們正進入一個新時代,我們的敵人能讓任何人在任意時間說任何話。」

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越來越難揪出假影片! (It’s Getting Harder to Spot a Deep Fake Video)

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    Priscilla 發佈於 2018 年 10 月 26 日
影片單字