Facebook is making its own AI deepfakes to head off a disinformation disaster
Facebook fears that AI-generated “deepfake” videos could be the next big source of viral ( ) misinformation ( )—spreading among its users with potentially catastrophic ( ) consequences ( ) for the next US presidential election.
Its solution? Making lots of deepfakes of its own, to help researchers build and refine ( ) detection tools.
The rise of deepfakes has been driven by recent advances ( ) in machine learning. Algorithms ( ) capable of capturing and re-creating a person’s likeness ( ) have already been used to make point-and-click tools for pasting a person’s face onto someone else.
Facebook will dedicate ( ) $10 million. Together with Microsoft and academics from institutions including MIT, UC Berkeley, and Oxford University, the company is launching ( ) the Deepfake Detection Challenge, which will offer unspecified ( ) cash rewards for the best detection methods.
防制假訊息災難，FB積極產製人工智慧「深度偽造」影片
Facebook擔心用戶散播由人工智慧生成、未來有望成為假訊息主要來源的「深度偽造」影片，對下屆美國總統選舉帶來具有災難性潛力的後果。
提出因應「深度偽造」的解決方案？Facebook自己產製大量深偽影片，助力研究者創建及改善辨識工具。
機器學習的技術進展助長了深偽的崛起。能夠捕捉及重現人物肖像的演算法，已被應用在點擊式工具的製作，它能把人臉貼在另一個人身上。
Facebook將貢獻1000萬美元。與Microsoft及學術機構麻省理工學院、加州大學柏克萊分校、牛津大學等，一起推出「辨識深偽挑戰賽」，該挑戰賽將頒發未指定金額的獎金給最優秀的檢測方法。
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