AI Detector

In Depth

AI detectors use a combination of statistical analysis and machine learning to classify text as human-written or AI-generated. They examine features like perplexity (how predictable the text is), burstiness (variation in sentence complexity), vocabulary diversity, and stylistic patterns. Modern detectors achieve 95%+ accuracy on English text but may struggle with heavily edited AI content or non-English languages.

Examples

• A teacher running student essays through an AI detector
• A publisher checking freelance submissions for AI content
• A content team auditing blog posts before publication

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