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  2. Artificial intelligence content detection - Wikipedia

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

    Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."

  3. 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.

  4. 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.

  5. Comparison of anti-plagiarism software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_anti...

    Turnitin: iParadigms 1997 proprietary: SaaS: Latin & multiple scripts through translation [10] Automatically stores uploaded texts (submitted for checking) in its own database. [11] Unicheck: Unicheck 2014 SaaS proprietary: SaaS: Latin, Cyrillic Pricing "per page" based on 137.5 words per nominal page. [12]

  6. Most Americans Trust AI To Monitor Digital Payment Accounts ...

    www.aol.com/most-americans-trust-ai-monitor...

    A new Empower survey of 999 American adults found that the majority trust AI to help with financial planning, with nearly two-thirds (65%) saying they would use the technology to give account ...

  7. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Since integrating external code is often harder than writing it from scratch, most plagiarizing students choose to do so from their peers. According to Roy and Cordy, [48] source-code similarity detection algorithms can be classified as based on either Strings – look for exact textual matches of segments, for instance five-word runs.

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