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  2. AI detector: YouTube unveils rules to identify deepfake ... - AOL

    www.aol.com/ai-detector-youtube-unveils-rules...

    Using effects to enhance recorded audio. ... AI artificial intelligence detector: YouTube's new rules to identify AI. Show comments. Advertisement. Advertisement. Holiday Shopping Guides.

  3. 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.

  4. Undetectable.ai - Wikipedia

    en.wikipedia.org/wiki/Undetectable.ai

    Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.

  5. Shazam (music app) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(music_app)

    Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018.

  6. Copyleaks - Wikipedia

    en.wikipedia.org/wiki/Copyleaks

    Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1] [2]Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies.

  7. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [14] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.

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  9. Audio deepfake - Wikipedia

    en.wikipedia.org/wiki/Audio_deepfake

    In far-field detection, a microphone recording of the victim is played as a test segment on a hands-free phone. [30] On the other hand, cut-and-paste involves faking the requested sentence from a text-dependent system. [11] Text-dependent speaker verification can be used to defend against replay-based attacks.

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