Authors Guild test finds some AI detectors perfectly identify human writing while others fail on every single text
Quick Answer
The Authors Guild tested five AI detectors on human-written texts, finding that Pangram and Grammarly accurately identified all samples, while Sidekicker and ZeroGPT misclassified human writing as AI-generated.
Quick Take
The Authors Guild tested five AI detectors on human-written texts, finding that Pangram and Grammarly accurately identified all samples, while Sidekicker and ZeroGPT misclassified human writing as AI-generated. This highlights a paradox where professionally written texts resemble AI outputs due to training data similarities, raising concerns about the reliability of AI detection tools.
Key Points
- Pangram and Grammarly successfully identified all human-written texts in the test.
- Sidekicker and ZeroGPT incorrectly flagged human articles as AI-generated.
- Professionally written texts statistically resemble AI outputs due to training data.
- The test raises concerns about the reliability of current AI detection tools.
- Misclassifications could impact authors and content creators relying on AI detection.
Article Excerpt
From source RSS / original summaryThe Authors Guild tested five AI detectors on human-written texts. Pangram and Grammarly correctly identified all of them, while Sidekicker and ZeroGPT flagged human-written articles as AI-generated. But the Guild also warns of a paradox: professionally written texts look statistically similar to AI output because language models were trained on exactly that kind of writing.
The article Authors Guild test finds some AI detectors perfectly identify human writing while others fail on every single text appeared first on The Decoder.
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