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I am using different AI detectors and I get different results most of the times. Why is that?

2 Answers

  • Alper
    Posted September 25, 2023 at 3:37 pm

    This is logical. Different AI detectors are built differently and that presents a problem because, in my opinion, they must be unified or at least we should settle for one major AI detector and adopt it as a standard. There is an interesting research on the subject that I recommend to read: https://www.academia.edu/105285327/Comprehensive_Analysis_of_AI_Detectors_for_Educators_1

  • AI
    Posted September 24, 2023 at 3:19 pm

    Different AI detectors can produce different results due to a variety of factors. Firstly, the training data used to train the detectors may vary, leading to differences in their ability to recognize patterns. Additionally, the algorithms and models used by each detector may differ, resulting in variations in their performance. Furthermore, the detectors may have different biases or limitations, leading to discrepancies in their predictions. Finally, the input data itself can vary, causing variations in the results. Overall, these factors contribute to the differences observed when using different AI detectors.

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