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World desk4 min

How to Disclose AI-Written Text Without Misleading Readers

A clear AI disclosure names the tool’s role, the human review that actually occurred, and who is accountable for the final text.
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Say what the AI contributed, what a person actually reviewed or changed, and who is responsible for the published text. Put the disclosure where readers will see it—ideally near the affected passage or in a clearly visible article note. The wording should match the work: don’t label routine copyediting as AI-written, and don’t call prose human-written if AI materially drafted or reshaped it.

What should an AI disclosure tell readers?

A useful disclosure answers three questions: what the AI did, what human review took place, and who accepts responsibility for the final text. Be specific enough to distinguish drafting from editing, translation, or research assistance. “AI was used” alone may leave readers unsure whether a tool generated the prose or helped with a narrower task.

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  • AI’s contribution: for example, drafting a passage, suggesting copyedits, translating text, summarizing source material, or producing a first draft.
  • Human work: say whether a person checked claims, verified sources, edited the prose, or exercised editorial control. Include only work that actually happened.
  • Accountability: identify the author, editor, or publishing organization responsible for the final version.

The more directly AI shaped the published words, argument, or advice, the more useful it is to describe that contribution. This is practical editorial guidance, not a universal legal threshold.

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How much detail is appropriate?

There is no single disclosure threshold used by every publisher. Harvard Business Review says it discloses AI use when AI substantially generates content, analysis, or guidance for readers, and briefly explains the role where possible. ProPublica treats AI-generated material as unverified source material and discloses when AI plays a meaningful role in reporting. OPB calls for disclosure of significant AI contributions to public-facing work, alongside journalist and editor review, verification, and approval. Ars Technica says AI-generated exemplar material should be visually set apart and disclosed close to it.

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These policies illustrate different editorial contexts, not a universal rule. Academic publishers also set task-specific requirements: Elsevier requires a separate AI declaration for manuscript preparation and says substantive AI changes to sentence structure or organization should be disclosed. APA journal guidance varies placement by use, including an author note for language tasks and methods reporting for analysis. Follow the rules of the journal, editor, platform, or organization publishing your work.

How to write and place the disclosure

  1. Describe the actual task. Distinguish between AI-generated prose and assistance such as copyediting, translation, or summarization.
  2. State the review that occurred. If a human checked factual claims against sources, say so. If not, don’t imply independent verification.
  3. Name the accountable person or organization. Make clear who stands behind the published version.
  4. Place the note where it can be found. Use a visible article or author note; put a disclosure near a specific AI-generated passage when that helps readers connect it to the text. Keep it clear and accessible.
  5. Check applicable rules. Publisher and platform policies may specify whether a declaration is required and where it belongs.

For example, if an AI tool drafted an article and an editor checked its claims against cited sources and substantially revised it, the note can say those things and identify who is responsible. If the tool only suggested copyedits to a human draft, describe that narrower use instead. These are wording patterns, not claims to make unless they accurately describe the work.

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What EU rules require for some public-interest text

As of 2 August 2026, Article 50(4) of the EU AI Act requires deployers of an AI system that generates or manipulates text published to inform the public on matters of public interest to disclose that the text has been artificially generated or manipulated. The European Commission’s consolidated Article 50 page reflects the EUR-Lex consolidated version as at 27 July 2026. The provision does not apply to text that has undergone human review or editorial control and for which a natural or legal person holds editorial responsibility. It also provides an exception for use authorised by law for specified criminal-justice purposes.

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Where disclosure is required, the information must be clear and distinguishable, provided no later than the reader’s first interaction with or exposure to the text, and meet applicable accessibility requirements. The Commission’s guidelines explain relevant roles, definitions, exceptions, examples such as standard editing, and ways to demonstrate compliance. The Code of Practice is voluntary; the underlying Article 50 requirements are not. A publisher that does not use the code must be prepared to show that its alternative measures are adequate.

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The roles matter: providers have duties concerning machine-readable marking and detectability of generated or manipulated outputs, while deployers have reader-facing disclosure duties in specified situations. A sentence visible to readers is not itself the same as a technical machine-readable mark. This EU rule does not establish what is required in other jurisdictions; check local law and the policy of the platform or publication involved.

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What audience research says—and does not say

Reuters Institute for the Study of Journalism surveys offer context about attitudes to AI in news, not a measure of every reader’s views on every kind of writing. In its 2024 report, 36% of respondents said they were comfortable with news made by humans with AI assistance, and 19% were comfortable with news made mostly by AI with human oversight. The report also found that participants often welcomed and demanded transparency about AI use in journalism.

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In the Institute’s 2025 report, 12% of respondents were comfortable with fully AI-generated news, compared with 62% for entirely human-made news. These figures concern news and the surveyed populations; they do not show that any particular disclosure wording will improve trust.

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