AI detectors estimate a probability — they do not deliver proof. They can be a useful signal, but treating their score as a verdict leads to unfair outcomes. Here’s an honest look at what they can and can’t do.
How they work
Most detectors look for statistical patterns associated with AI writing: very even sentence rhythm, predictable word choices, and low “burstiness.” From those signals they output a likelihood that a passage was AI-generated. That’s a pattern guess, not a fact about who wrote it.
Why false positives happen
- Clear, plain writing can look “too smooth” and get flagged — which penalizes good writers and non-native speakers.
- Edited or templated text (formal reports, legal language) shares features with AI text.
- Short passages give the model too little to judge.
- Paraphrased or translated text muddies the signal in both directions.
Because of this, no detector should be the sole basis for an accusation. Both AI and human writing get misclassified.
How to use one responsibly
Treat the score as one weak signal among many. If something seems off, talk to the writer, look at drafts and version history, and consider context. Our AI detector shows an estimate with sentence-level highlights and a prominent reminder that detection is probabilistic — never use it as sole proof.
The honest bottom line
AI detection is genuinely hard, and accuracy claims marketed as near-perfect should be treated with skepticism. Use detectors to start a conversation, not to end one.
AI-powered — please review results before use.