Analysisperplexityclassifiersfalse positives
AI Detectors Reveal Limits In Content Classification
6.9
Relevance Score
On Feb. 6, 2026, DodBuzz published an explainer describing how AI content detectors analyze statistical text properties such as perplexity, burstiness, and classifier-derived patterns. It reports published accuracy ranges of about 70–95% under controlled conditions, notes frequent false positives in formulaic or non-native writing, and warns detectors provide probabilistic flags rather than definitive judgments, recommending human review for consequential decisions.
