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AI text detectors fail to distinguish human, AI, and classic literature

By PulseAugur Editorial · [1 sources] ·

AI text detection tools are struggling to accurately distinguish between human-written text, AI-generated content, and older human works. A user found that common AI detection methods failed to correctly identify texts including their master's thesis from 2011, a chapter from The Hobbit, and content generated by a local Ollama instance. The primary challenge appears to be the inability of these detectors to recognize that classic literature, like Tolkien's work, was not produced by artificial intelligence. AI

IMPACT Highlights limitations in current AI detection technology, suggesting a need for improved models that can better differentiate human and AI-generated text, especially in historical contexts.

RANK_REASON The item is a user's personal observation and test of AI detection tools, not a primary announcement or research finding.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI text detectors fail to distinguish human, AI, and classic literature

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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · kdkorte ·

    My go-to tests for any startup doing AI detection on text are my own master's thesis (2011), a random chapter from The Hobbit, and a new text generated by a loc

    My go-to tests for any startup doing AI detection on text are my own master's thesis (2011), a random chapter from The Hobbit, and a new text generated by a local Olama. So far, no detector has reliably detected all three of them correctly. Interestingly, the biggest problem seem…

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