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  2. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    GPTZero was developed by Edward Tian, a Princeton University undergraduate student, and launched online in January 2023 in response to concerns about AI-generated usage in academic plagiarism. [ 8 ] [ 2 ] GPTZero said in May 2023 it raised over 3.5 million dollars in seed funding .

  3. Undetectable.ai - Wikipedia

    en.wikipedia.org/wiki/Undetectable.ai

    Several studies have examined Undetectable AI: In August 2023, researchers led by Dr. Christoph Bartneck investigated how Undetectable.ai might affect data quality in online questionnaires. They found that while AI detection systems could identify ChatGPT-generated text, they were less successful with text processed by Undetectable.ai. [2]

  4. 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.

  5. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Citation-based plagiarism detection (CbPD) [26] relies on citation analysis, and is the only approach to plagiarism detection that does not rely on the textual similarity. [27] CbPD examines the citation and reference information in texts to identify similar patterns in the citation sequences. As such, this approach is suitable for scientific ...

  6. Wikipedia : WikiProject AI Cleanup

    en.wikipedia.org/wiki/Wikipedia:WikiProject_AI...

    AI content sometimes takes a promotional tone, reading like a tourism website. Other times, the AI gets confused and will write about a hotel instead of a nearby village. Automatic AI detectors like GPTZero are unreliable and should only ever be used with caution. Given the high rate of false positives, deleting or tagging content purely ...

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