AI detection FAQ
What do AI detectors look for?
Quick answer
AI detectors analyze statistical patterns in text — such as predictability, sentence uniformity, and word-choice regularity — that tend to appear more often in AI-generated writing than in human writing.
Common signals include low 'burstiness' (unusually even sentence length and rhythm), high predictability of the next word, generic transitions, and a lack of the small irregularities typical of human drafting. Detectors weigh these patterns to estimate AI-writing likelihood.
These signals are probabilistic, not definitive. Human writing can be uniform and AI writing can be edited to look irregular, which is why detectors report confidence rather than certainty.
DeepDetector surfaces these signals at the passage level so reviewers can see which sentences drive a result and judge whether the evidence justifies follow-up.
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