Usually, you can’t tell with confidence from the wording alone. AI detectors and stylistic clues can suggest that an article merits closer checking, but they do not prove who wrote it. Check the article’s claims, the publisher and byline, and any available provenance or disclosure records. Missing records do not prove that a person wrote it.
Can you identify AI-written articles by how they sound?
Not reliably. Concise, polished, or formulaic prose can be written by a person, while AI-generated text can be edited by a person. A style impression may prompt a closer look, but it is not forensic evidence of authorship.
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Keep two questions separate: whether the article is accurate and whether AI helped produce it. Human-written work can contain errors, and an AI detector score does not establish whether the article’s claims are true.
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What can AI detectors tell you?
A detector estimates whether text resembles material its system associates with AI generation. Its result depends on the tool and the text: language, length, genre, editing, and the detector’s evaluation conditions all matter. Treat a score as one limited signal, not proof.
Why a detector score is not proof
OpenAI’s classifier announcement, published January 31, 2023, reported that its discontinued classifier identified 26% of AI-written text in its English challenge set as “likely AI-written” and incorrectly labeled human-written text as AI-written 9% of the time. OpenAI discontinued the classifier on July 20, 2023, citing its low accuracy. Those figures describe that classifier and test set; they are not a measure of today’s detectors generally. OpenAI also said the classifier was very unreliable on text under 1,000 characters, performed significantly worse outside English, was unreliable on code, and could be evaded by editing. It said the tool should not be used as a primary decision-making tool. OpenAI’s classifier announcement
Read each tool’s scope and warnings
Turnitin’s guide says its score represents the share of qualifying text identified as likely AI-generated or as AI-generated and then modified with an AI paraphrase tool. Turnitin cautions that its model does not reliably detect non-prose such as code, poetry, scripts, bullet points, tables, or annotated bibliographies. Its current reporting guidance withholds a numerical score below 20% to reduce misinterpretation. That is a product-specific reporting choice, not a universal threshold—and a score above it does not prove AI authorship. Turnitin’s AI writing detection model guide
If you compare tools, compare results on the same language, text type, length, and generation or editing conditions. Check the vendor’s false-positive guidance, supported genres and languages, and what its score actually measures. The European Commission’s 2026 report identifies effectiveness, robustness, reliability, accessibility, and interoperability as relevant criteria for evaluating methods that mark or detect AI-generated text; performance in one test does not establish dependable results for a particular article. European Commission report on AI-generated text marking and detection
How to check an article more usefully
- Verify the important claims. Follow citations to original documents, datasets, or named experts. Check dates and context, and look for independent, reputable corroboration for consequential claims.
- Inspect the publisher and byline. Look for an author biography, a consistent publication history, editorial contact details, a corrections policy, and any disclosure about AI assistance. These details offer context, not a conclusive authorship test.
- Check available provenance or production records. A publisher may disclose how an article was made, or a file may carry a verifiable provenance record. Such information can help establish a recorded origin or history, but it may not cover the article text.
- If you use a detector, check its limitations first. Confirm that the tool supports the text’s language, length, and genre, and understand its false-positive guidance. Do not accuse an author or make a consequential decision based on a score alone.
What provenance records and watermarks can establish
C2PA Content Credentials are a technical standard for recording and checking information about a digital asset’s origin and history. An enabled application can check a credential’s manifest for integrity and validation. But adding a credential is optional, and C2PA says an asset without one should not therefore be universally less trusted. A credential might describe an image or other file used with an article rather than who drafted or edited its text. How C2PA works C2PA explainer
So a validated credential can support a claim about recorded provenance; not finding one means only that no supported credential was found. It does not show that the article was written by a person.
Watermarking is another approach, but its limits depend on the method. In a 2024 discussion of text watermarking, OpenAI said its studied approach could withstand localized changes such as paraphrasing, but was less robust to global changes such as translation, rewriting with another generative model, or deletion of inserted characters. OpenAI also discussed possible disproportionate effects on non-native English speakers and said it was exploring text metadata approaches. These observations concern the company’s reported work, not every watermarking method. OpenAI on understanding the source of online content
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Should you ask ChatGPT whether it wrote an article?
No—not as a forensic test. OpenAI says ChatGPT has no knowledge of whether it generated a particular passage and may invent an answer. A chatbot’s claim that it did or did not write a text is not evidence of authorship. OpenAI Help Center: Can I ask ChatGPT if it wrote something?
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