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Publishers should disclose AI use by naming the task the system performed, explaining what part of the published item it affected, describing the human review that actually occurred, and identifying who remains editorially responsible. A note such as “AI was used” is too vague when readers cannot tell whether a tool drafted copy, translated an interview, generated an image, or merely corrected spelling. Put a concise, item-level notice where readers will see it and link to a fuller newsroom policy. In the European Union, Article 50 of the AI Act adds a specific transparency rule for certain AI-generated or manipulated public-interest text, with a conditional exception for human review or editorial control plus a person or organization holding editorial responsibility. That rule is not a universal label requirement, so jurisdiction and the facts of each item matter.
What should an AI disclosure tell readers?
A useful disclosure answers four practical questions: what the AI system did, what that use affected, what a human checked, and who is accountable for publication. Those questions turn an abstract technology label into information a reader can use to judge the item.
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- Name the task. Say whether AI generated or rewrote text, transcribed audio, translated material, created or altered an image, summarized documents, classified information, or provided a limited assist such as spelling suggestions.
- Describe the effect. Tell readers whether the output influenced reporting or newsgathering, editorial decisions, or material that appears in the published item. A tool used to organize interview notes has a different effect from a system that supplied paragraphs in the final article.
- State the review. Describe the check that actually happened: for example, an editor compared every quoted passage with the recording, verified figures against source documents, or reviewed only the final illustration. Do not imply that every word, claim, image, or data point received a review if it did not.
- Assign responsibility. Identify the publisher, editor, or other natural or legal person responsible for the final work. Accountability belongs to the publication, not to an automated tool.
The Council of Europe’s journalism guidance puts the principle plainly: “News organisations should disclose when and how they use AI systems to both subjects and the audience.” Its guidelines on responsible AI in journalism support disclosure to people who are covered by reporting as well as to readers.
How specific should the notice be?
Specificity should track the system’s influence. The more an AI output shaped the published material or the reporting process, the more detail a reader needs. A short note can be sufficient for a narrow assist, while a generated feature, composite image, or translated interview needs a fuller explanation.
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| AI use | What readers need to know | Example notice |
|---|---|---|
| Transcription | That audio was transcribed by AI and how quotations were checked | “An automated transcription tool produced a draft transcript. An editor checked quotations against the recording; the reporter is responsible for the final text.” |
| Translation | Which language was translated, whether the translation appears in full, and who reviewed meaning and names | “AI produced an initial translation from Spanish. A bilingual editor checked the published translation, names and figures.” |
| Text generation or substantial rewriting | That AI supplied or changed published prose, the scope of the human edit, and editorial responsibility | “An AI system generated a first draft from the listed source documents. An editor verified the claims, rewrote the copy and approved publication; the publisher retains responsibility.” |
| Generated or manipulated image | Whether the image is synthetic, which elements were changed, and whether it depicts a real event | “This illustration was generated with an AI image system and does not depict a photograph of a real event.” |
| Limited language assistance | That AI was used only for a defined mechanical task, if that fact could affect a reader’s understanding | “AI was used for spelling and grammar suggestions. No AI-generated reporting or quotations were used.” |
These examples are adaptable wording, not mandatory formulas. The House of Commons Library’s summary of Impress guidance recommends concise disclosure focused on whether AI affected reporting, editorial decisions or published material. A notice that simply says “AI used” leaves those distinctions unresolved.
What does meaningful human review look like?
“Human reviewed” is useful only when it identifies the work performed and its limits. A publisher should be able to explain who checked what, against which source, and before or after publication.
- For reported facts: compare names, dates, quotations, calculations and attributions with the original documents or recordings.
- For financial coverage: verify prices, rates, yields, dates and methodology against the cited primary source at the relevant time. If figures can change, record the “as of” date in the item.
- For generated prose: check every substantive claim, remove invented citations and disclose any portions that remain machine-generated after editing.
- For images: check that labels do not imply a real photograph, identify material alterations and confirm that captions accurately describe what viewers are seeing.
- For translations and summaries: check qualifiers, negations, units, names and context, not just grammar.
Do not write “fully fact-checked” when an editor checked only a selection, or “human-approved” when a person merely clicked an export button. The Council of Europe calls for editorial oversight in automated and generative-AI use; the disclosure should reflect the oversight that really occurred.
How can a publisher write a short, accurate disclosure?
Use a two-layer approach: a visible note attached to the item and a policy page describing routine practices. The item note should stand on its own, while the policy provides definitions, review standards and a contact or correction route.
Generated draft: “An AI system generated an initial draft from the sources linked below. An editor checked the claims and quotations, rewrote the article and approved publication. The publisher is responsible for the final material.”
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AI-assisted reporting: “We used an AI tool to transcribe interviews and identify recurring topics. Reporters checked quotations against the recordings; the tool did not determine the article’s conclusions.”
Translation: “AI produced a first translation of the interview. A named editor reviewed the translation against the original audio before publication.”
Image: “This is an AI-generated illustration. It is not a photograph and does not show a real event.”
Limited assistance: “AI provided grammar suggestions only. Reporting, analysis and final wording were produced and reviewed by the editorial team.”
Replace bracketed concepts with the facts of the item. Do not claim that a named AI product guarantees accuracy, and do not suggest that the tool, rather than the publisher, made editorial judgments.
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What does EU Article 50 require, and when does it apply?
Article 50(4) of Regulation (EU) 2024/1689 covers a defined situation: a deployer uses an AI system to generate or manipulate text that is published to inform the public on matters of public interest. The rule says the deployer must disclose that the text was artificially generated or manipulated. The European Commission says the relevant transparency obligations apply from 2 August 2026.
The provision contains an important, conditional exception. Disclosure is not required under that paragraph when the text has undergone human review or editorial control and a natural or legal person holds editorial responsibility for publication. Both conditions matter. A nominal sign-off without meaningful review is not the same as editorial control, and review by itself does not remove the responsibility requirement.
Read the text of Article 50 in the EU AI Act alongside the European Commission’s transparency guidelines. The rule does not mean every use of AI in every publication must carry a label. Its scope depends on the content, purpose, role of the organization and applicable exception. National rules, sector requirements and platform policies may impose additional duties. This is a framework for editorial planning, not a jurisdiction-by-jurisdiction legal opinion.
For an EU-facing publisher, document the facts that determine the analysis: what system was used, whether it generated or manipulated the public-interest text, what review occurred, who exercised editorial control and who accepted responsibility. Keep that record with the item’s production notes so a later correction or inquiry does not depend on memory.
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A material notice should be clear and distinguishable from surrounding copy. Place it near the headline, byline, caption or media player—where a reader encounters the relevant material—not only in a general terms page or buried in a footer.
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The European Commission’s Code of Practice on Transparency of AI-Generated Content and its frequently asked questions discuss labels, disclaimers, icons, placement and presentation. The Commission describes the code as a voluntary compliance-support tool. Its EU icon set can support labeling in relevant contexts, but the reviewed guidance does not establish one icon as mandatory for every publisher or every use.
Accessibility matters. Make the notice readable by screen readers, keep sufficient contrast, provide text in addition to an icon, and ensure the label remains attached when an item is syndicated, printed, embedded or shared in a newsletter. For audio and video, say the disclosure aloud or provide it in an accessible transcript and description.
Should a publisher use a blanket label or a task-specific note?
A task-specific note is generally more informative; a blanket label can supplement it but should not replace it when AI materially affected the work.
| Approach | Strength | Risk | Best use |
|---|---|---|---|
| “AI was used” on every item | Easy to apply consistently | Readers cannot tell whether AI generated reporting, edited prose or created media | Only as a secondary indicator linked to details |
| Task-specific item note | Explains the role and review in plain language | Requires a reliable production record | Default for material or reader-relevant use |
| Policy page only | Provides definitions and organization-wide context | Readers may not know whether the policy applies to this item | Background layer, not the sole notice |
| Icon without text | Compact and potentially recognizable across formats | Meaning can be unclear and accessibility can suffer | Supplement to a text explanation |
Compare approaches using five tests: the AI’s role and influence, the human review performed, the person or organization responsible, the governing legal context, and the notice’s visibility and specificity. Those criteria follow from the EU rule and from journalism and Commission guidance on transparency.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should personal-finance publishers apply the policy?
Financial readers often rely on small distinctions—whether a figure is current, whether a quote is exact, whether an example is hypothetical and whether an explanation is advice or reporting. AI disclosures should therefore identify uses that could change a reader’s assessment of reliability without suggesting that every routine software feature changes authorship.
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- Market and rate data: state the data source and timestamp separately from any AI assistance. A language model is not a substitute for the cited exchange, regulator, company filing or statistical agency.
- Calculators and examples: disclose if AI generated the explanation or code, then verify formulas, assumptions, units and rounding independently. Label hypothetical figures as examples.
- Product comparisons: say whether AI helped summarize published terms, while making clear that an editor checked eligibility, fees, exclusions and dates.
- Consumer-impact stories: preserve the original documents and interview recordings used to check an AI transcript or summary. Sensitive personal information should not be sent to a system unless the publisher’s privacy and security rules permit it.
- Corrections: if an AI error reaches publication, correct the factual error in the normal way and update the disclosure if the original note misstated the system’s role or the scope of review.
ASBPE’s Code of Journalism Ethics says, “Publications should set a policy on when and where they will be transparent on the use of generative AI,” and also emphasizes that editorial staff must confirm accuracy because generative AI can make mistakes. A finance publication can meet that principle with a public policy plus item-level notes tied to actual use.
What are the most common misleading-disclosure failures?
- Overbroad wording: “This article was written by AI” may falsely suggest that AI conducted interviews or made editorial decisions when it only corrected grammar.
- Under-disclosure: “AI assisted” hides a generated image, synthetic quote, translated interview or machine-written analysis that materially shaped the item.
- False certainty: “Reviewed by humans” does not say whether the review covered every claim, just the final layout, or only a sample.
- Invisible placement: a notice in a policy page or metadata field may not reach readers who see the article through a feed, app, print edition or social embed.
- Stale policy: a general statement can become inaccurate when a newsroom changes tools, review steps or the people responsible.
- Confusing advertising and journalism rules: the IAB’s AI Transparency & Disclosure Framework V2 concerns consumer-facing advertising and marketing content. It may inform sponsored material, but it is not a general newsroom disclosure law.
How can an editorial team implement disclosures?
Start with a small register and a clear decision path rather than asking writers to improvise labels at publication time.
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- Inventory permitted uses. List tools and tasks, such as transcription, translation, brainstorming, data cleaning, image generation and copy editing. Prohibit uses that conflict with source confidentiality, privacy or accuracy requirements.
- Set materiality thresholds. Decide which uses always require an item note—such as generated or altered media, machine-written passages, translated quotations or AI-derived summaries—and which limited assists may be recorded internally.
- Assign review owners. Name the role that verifies facts, quotations, calculations, captions and translations. Record what remains outside the check.
- Choose a label location. Put text near the affected material and preserve it across formats. Add an accessible icon only as a supplement.
- Keep an audit record. Store the system, task, date, source materials, reviewer and final wording with the assignment or content-management record.
- Publish and maintain the policy. Explain routine uses, prohibited uses, review standards, correction handling and a way for subjects or readers to ask questions. Review it when law, tools or workflows change.
Before publication, an editor should be able to complete this sentence without guessing: “The system did this; it affected that; this person checked these elements; and this publisher or editor is responsible.” If the sentence cannot be completed accurately, the workflow is not ready for a confident disclosure.
Frequently Asked Questions
Do publishers have to name the exact AI tool they used?
Not every guidance source requires a product name. Naming the system can help when it materially affects reproducibility, provenance or a reader’s understanding, but the essential disclosure is the task, its effect, the actual review and the responsible publisher or editor.
Should an AI disclosure appear on corrected or updated articles?
Keep the original disclosure with the item and revise it if the correction changes what readers need to know about AI’s role or the review performed. A correction note should explain the factual error separately; changing the label alone does not substitute for correcting the record.
How should syndicated articles carry an AI label?
The originating publisher should supply the notice as part of the article package and specify where it belongs. Licensees should preserve the text when republishing, and the source policy should explain who handles updates if the item is changed.
Is an AI-generated illustration the same as an AI-generated article under EU rules?
They can fall under different transparency provisions and factual tests. Article 50(4) addresses a defined category of public-interest text, while other AI-generated or manipulated content may be covered by separate rules or voluntary practices; assess the medium, purpose and applicable jurisdiction rather than applying one label automatically.
