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Overview

Understand what AI detection can and cannot tell you.

Before you start

  • Basic familiarity with the AI Detector

Steps

  1. 1AI detection analyses writing patterns (vocabulary diversity, sentence structure, statistical patterns).
  2. 2Results provide likelihood estimates, not definitive proof of authorship.
  3. 3The overall classification is shown at the top: Likely Human-Written, Mostly Human-Written, Mixed or AI-Assisted, Mostly AI-Generated, Likely AI-Generated, Inconclusive, or Insufficient Text.
  4. 4Three percentages are shown: AI Likelihood, Human Likelihood, and Mixed-Writing Likelihood.
  5. 5The confidence level (low, moderate, high) indicates how reliable the result is.

Tips

  • Consider results alongside human review, context, drafts, revision history, and sources.
  • Low text volume or unusual patterns may reduce confidence.
  • Different detection services use different methodologies - results may vary.

Limitations

  • AI detection cannot prove that a specific person used AI.
  • A "likely human-written" result does not prove AI was not used.
  • A "likely AI-generated" result does not prove a specific person used AI.
  • Results should never be used as definitive proof of authorship.

Responsible use

Never claim AI detection results as absolute proof. Always disclose the limitations when sharing or acting on results. Follow your institution's or organisation's policies on AI use.

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