How do AI detectors work?
Most detectors estimate style likelihood, not origin certainty. They mix linguistic features and classifier outputs to produce a confidence-like score.
Typical mechanism stack
- Extract lexical and rhythmic features from the text.
- Compare feature profile against trained human/AI distributions.
- Return a probability-like risk score plus supporting labels.
Why disagreement happens
Detectors use different training data, thresholds, and feature weighting. The same text can produce conflicting outputs across tools.
Responsible use rule
Treat detector scores as triage signals. Confirm with pattern-level evidence and policy context before acting.
Method cross-links
Read How It Works for scoring construction and Limitations for false-positive boundaries. Related evidence: Do AI Detectors Work?.