Are AI detectors accurate? How to read an AI score
What AI text detectors measure, why they flag human writing, and how students and teachers can use a score fairly.
What a detector actually measures
An AI detector cannot see who wrote a text. It looks for statistical habits that language models show more often than people: sentences of very similar length, stock words such as “delve” or “crucial”, paragraphs that open with “Moreover” or “In conclusion”, few contractions and tidy lists of three. Our detector reports each of these signals separately, so you can see why a text scored the way it did instead of trusting a single number.
Why human writing gets flagged
Careful, formal writing shares many of these habits. A 2023 Stanford study found that popular GPT detectors labelled more than half of essays written by non-native English speakers as AI-generated, while essays by native speakers were rarely flagged. OpenAI withdrew its own AI classifier in 2023 because of its low accuracy. Edited or paraphrased AI text, on the other hand, often scores low. A score is therefore a probability-style hint, never proof.
How students can protect their work
Write in a document that keeps version history, save your outline and notes, and keep the sources you read. If you use AI for brainstorming or grammar where your course allows it, say so in the way your instructor asks. If a teacher questions your work, these drafts show your process far better than any detector score can.
How teachers can use a score fairly
Treat a high score as a reason to look closer, not as a verdict. Compare the text with the student’s earlier work, ask about their sources and choices, and look at drafts or version history. Make expectations about AI use clear before the assignment. Never base a misconduct decision on a detector result alone.
Content updated: 2026-10-10