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  2. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    Facebook has taken efforts towards encouraging the creation of deepfakes in order to develop state of the art deepfake detection software. Facebook was the prominent partner in hosting the Deepfake Detection Challenge (DFDC), held December 2019, to 2114 participants who generated more than 35,000 models. [215]

  3. What is a deepfake? Everything you need to know about ... - AOL

    www.aol.com/news/deepfake-everything-know-ai...

    How to detect a deepfake. As deepfakes become more common, society collectively will most likely need to adapt to spotting deepfake videos in the same way online users are now attuned to detecting ...

  4. Deepfakes of Elon Musk contribute to billions in fraud losses

    www.aol.com/deepfakes-elon-musk-contribute...

    Deepfake Detector, a tool that charges $16.80 per month, identified one of the fake videos as "97% natural voice." ... DeepFake-O-Meter is another free tool supported by the University of Buffalo ...

  5. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [ 1 ] and there are concerns about the potential misapplication of AI detection software by educators.

  6. Synthetic media - Wikipedia

    en.wikipedia.org/wiki/Synthetic_media

    Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...

  7. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    In 2018, Darius Afchar and Vincent Nozick found a way to detect faked content by analyzing the mesoscopic properties of video frames. [240] DARPA gave 68 million dollars to work on deep-fake detection. [240] Audio deepfakes [241] [242] and AI software capable of detecting deep-fakes and cloning human voices have been developed. [243] [244]