Are AI detectors accurate?

AI detectors are only partly accurate. The best of 14 tools scored 76% in the 2023 Weber-Wulff study, and seven detectors averaged 39.5% on AI text in a 2024 study, falling to 22.2% after simple edits. Newer benchmark scores run far higher, but a score alone still cannot prove who wrote something.

Are AI detectors accurate enough to settle a question about authorship? The published evidence says no. They are useful as a first signal, and the better ones now catch unedited AI text most of the time on public benchmarks. They fall down in three places: edited or paraphrased AI text, short passages, and human writing that happens to be plain and predictable. Every figure below is dated and linked to the study or page it came from, and vendor figures are labelled as the vendor's own.

Latest results:

Published results for AI detectors
A round analog meter with its needle in the middle of the scale, standing behind a sheet of wavy lines marked with a yellow highlight.

Published results for AI detectors

The tests measure different things. A detection rate is the share of AI text a tool caught. A false positive rate is the share of human text it wrongly flagged as AI. Compare tools only inside the same test.

  • Independent study
  • Benchmark
TestToolWhat was measuredResultDateSource
Weber-Wulff et al. 2023, 54 documentsTurnitinDetection rate (binary accuracy)76%Source 1Independent study
Weber-Wulff et al. 2023, 54 documentsZeroGPTDetection rate (binary accuracy)59%Source 1Independent study
Weber-Wulff et al. 2023, 54 documentsGPTZeroDetection rate (binary accuracy)54%Source 1Independent study
Perkins et al. 2024, unedited AI textTurnitinDetection rate61%Source 2Independent study
Perkins et al. 2024, unedited AI textZeroGPTDetection rate46.1%Source 2Independent study
Perkins et al. 2024, unedited AI textGPTZeroDetection rate26.3%Source 2Independent study
Perkins et al. 2024, 805 samplesSeven detectors (mean)Detection rate before and after evasion edits39.5% before, 22.2% afterSource 2Independent study
RAID leaderboardGrammarlyDetection rate at a 5% false positive rate99.5%Source 4Public benchmark (vendor-submitted results)
RAID leaderboardGPTZeroDetection rate at a 5% false positive rate97.2%Source 4Public benchmark (vendor-submitted results)
RAID paper (Dugan et al.)ZeroGPTFalse positive rate on human text1.71%Source 3Independent study
Jabarian and Imas 2025, 1,992 passagesGPTZeroFalse positive rate on human textAbout 0.7%Source 5Independent study
Liang et al. 2023, 91 TOEFL essaysSeven detectors (average)False positive rate on non-native English essays61.22%Source 6Independent study

What the vendors say

ToolVendor claimDate checkedSource
ZeroGPTAccuracy of 98.4%, false positives under 1%ZeroGPT homepage
GPTZeroHeadline accuracy of 99.9% on its own demo datasetGPTZero homepage
TurnitinDocument false positive rate under 1% for documents with 20% or more AI writingTurnitin blog
GrammarlyDetection figure of 99%, with a #1 rank on RAIDGrammarly AI Detector page

Do AI detectors work? Detector by detector

Where AI detectors go wrong

  • Edited AI text

    Paraphrasing and small rewrites are the biggest weakness. In Perkins et al., the seven detectors fell from 39.5% to 22.2% after evasion edits.

  • Plain human writing

    Detectors read predictable wording as a sign of AI. That is why non-native English essays were flagged 61.22% of the time on average in the Liang study.

  • Short passages

    The Jabarian and Imas paper found GPTZero vulnerable on very short texts and to humanizer tools.

  • Mixed documents

    Turnitin says 54% of its false positive sentences sat next to real AI writing, and its sentence-level false positive rate is about 4%, by its own figures.

  • Old results, new versions

    Weber-Wulff and Perkins tested earlier versions of each tool, and both papers warn that their results may not match today's detectors.

How detectors compare within the same test

Only compare numbers from the same study. Mixing a 2023 classroom test with a 2026 benchmark tells you nothing.

TestOrder (best first)
Weber-Wulff et al. 2023Turnitin 76%, ZeroGPT 59%, GPTZero 54%
Perkins et al. 2024, unedited AI textTurnitin 61%, ZeroGPT 46.1%, GPTZero 26.3%
RAID leaderboard, 5% false positive rateGrammarly 99.5%, GPTZero 97.2%

The early academic tests put Turnitin first. The newer RAID results put Grammarly and GPTZero far above anything in the older studies, but the vendors ran their own detectors and submitted the predictions.

Non-native English writers get flagged most

The strongest warning about AI detectors comes from Liang et al. at Stanford. Seven detectors, including GPTZero and ZeroGPT, flagged essays written by non-native English speakers as AI an average of 61.22% of the time (Liang et al., 2023). Of 91 TOEFL essays, 97.8% were flagged by at least one detector, while essays by US eighth graders drew almost no false flags. The authors link the bias to simpler vocabulary. The study has not been repeated on 2025 or 2026 detector versions, so treat it as a known risk rather than a current rate.

What a detector score can and cannot prove

No detector score should be the only evidence in a misconduct case.

It can show

  • A detector score can tell you that a passage reads like the text a model would produce. It can be a reason to look closer, ask questions, or check drafts and version history.

It cannot prove

  • A detector score cannot tell you who wrote the text, whether a person used AI for one sentence or the whole piece, or whether a plain, careful writer has simply been misread. Grammarly's own page says no detector can conclusively determine AI use.

What to do if a detector flags your work

  1. Ask which tool produced the score, the exact figure and which passages were highlighted.

  2. Gather your drafts, notes, outlines and version history from Google Docs or Word.

  3. Point to the published false positive figures for that tool, linked on this page and the tool pages.

  4. If English is not your first language, cite the Liang et al. findings on non-native writers.

  5. Offer to explain your argument and sources in person, or to write a short passage under supervision.

  6. Ask for the decision to rest on more than one piece of evidence.

Another detector to try

Another option is the free AI detector from Walter Writes. Its page says checks are free and unlimited, that it detects text from ChatGPT and Gemini, that it gives a percentage score for every scan and that it works in more than 20 languages. You can try Walter's AI detector here. Read its score the same way as any other: one signal, not proof.

Sources

  1. Independent study
  2. Independent study
  3. Independent study
  4. GPTZero (2025-10-07) and GrammarlyRAID leaderboard results files for(2026-02-09)
    Benchmark
  5. Artificial Writing and Automated DetectionJabarian and ImasSeptember 2025
    Independent study
  6. Independent study
  7. ZeroGPT, GPTZero, Turnitin and GrammarlyVendor pages:checked 2026-10-29
    Vendor claim

Questions

Short answers, with links to the dated evidence.

Do AI detectors work?

They work on plain, unedited AI text, and less well on anything else. Recent public benchmark entries reach 97.2% for GPTZero and 99.5% for Grammarly, both vendor-submitted. Independent academic tests scored older versions far lower, and simple paraphrasing cut the average detection rate from 39.5% to 22.2% in a 2024 study.

Which AI detector is the most accurate?

It depends on the test. Turnitin ranked first of 14 tools at 76% in the 2023 Weber-Wulff study. On the RAID leaderboard, Grammarly leads GPTZero at the 5% false positive setting, 99.5% to 97.2%, with results each vendor submitted. No single study covers all four detectors on this site, so compare tools only within one test.

Can AI detectors flag human writing as AI?

Yes. Liang et al. found seven detectors flagged non-native English essays as AI 61.22% of the time on average. In the RAID paper, ZeroGPT wrongly flagged 1.71% of human texts. GPTZero did better in a 2025 study at about 0.7%. Even low rates add up when a school scans thousands of essays each term.

Can a detector score prove a student used AI?

No. A score shows how much a passage resembles model output, not who wrote it or how. Grammarly's own detector page states that no detector can conclusively determine AI use. Drafts, version history, notes and a conversation about the work are better evidence. A score should start a conversation, never end one.

Why does editing AI text fool detectors?

Detectors look for predictable word choices and even sentence rhythm. Paraphrasing breaks those patterns. In Perkins et al. (2024), Turnitin's accuracy dropped from 50% to 7.9% after evasion edits, the largest drop of the seven detectors tested, and ZeroGPT fell from 31.3% to 17.3% under the same edits.

Where to go next on the bench.