Diglot vs GPTZero

Yes. Every AI detector produces false positives, and GPTZero itself tells educators not to treat a score as proof on its own. A Stanford study (Liang et al., published in Patterns, 2023) found AI detectors falsely flagged 61% of TOEFL essays by non-native English speakers. If you write English as a second language, your careful, deliberate prose is statistically more likely to be misread.

Process evidence is the strongest defense: drafts, version history, notes, and a record of the writing session itself. Google Docs version history helps if you wrote there, and GPTZero's own Writing Reports can replay Docs activity. Diglot goes further — it records a signed, append-only event chain while you write and turns it into an Authorship Certificate your instructor can verify through a link.

The published evidence says the risk is real for detectors as a class: the Stanford study (Liang et al., 2023) found 61% of TOEFL essays by non-native speakers were falsely flagged. Vendors, GPTZero included, say they have worked on reducing this, but no detector removes the uncertainty. If English is your second language, do not rely on a clean scan — keep evidence of your process.

You can, but understand what a clean scan buys you: not much. Detector results can change between model versions and often disagree across detectors — your instructor's scan may not match yours. A pre-check tells you how one model reads your text today; it does not bind anyone. Evidence of how you wrote is more durable than a screenshot of a score.

Policies vary, but most academic-integrity guidance treats detector output as a signal that starts a conversation, not proof that ends one — GPTZero says much the same. In practice, though, a score often shifts the burden onto the student. So the practical question is not whether the score counts as proof, but what you can put on the table next: drafts, history, and process evidence.