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Published on 6/25/2026

Authors Guild test finds some AI detectors perfectly identify human writing while others fail on every single text

the-decoder.com · ai-productivity-automation · Risks, Governance & Compliance

Authors Guild test finds some AI detectors perfectly identify human writing while others fail on every single text

Insight summary

  • The Authors Guild tested several AI detectors on ten human-written articles from 2020-2022 and found Pangram and Grammarly correctly identified all as human-written.
  • Originality.ai also performed well, while Sidekicker and ZeroGPT often falsely flagged human texts as AI-generated.
  • False positives in AI detection can jeopardize authors' contracts and reputations, prompting calls for transparency and author defense opportunities.
  • Pangram's CEO highlighted that AI detection tools operate as black boxes and struggle to distinguish highly skilled human writing from AI-generated text.
  • These tools prioritize minimizing false positives, so their accuracy in detecting actual AI-generated text remains uncertain.
  • The article emphasizes the ongoing cultural debate about the value and impact of AI writing tools and the limitations of current detection technologies.
  • The debate includes concerns about AI potentially flooding the internet with low-quality content and the social contract between writers and readers.

Content details

Industry
ai-productivity-automation
Topic
Risks, Governance & Compliance
Source
the-decoder.com
Language
en
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Authors Guild test finds some AI detectors perfectly identify human writing while others fail on every single text | Sperto