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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsSet up human review as a real editorial checkpoint: give a qualified person time and authority to verify the content, require changes or reject it when needed, and keep a record of the decision. Proofreading for spelling or grammar alone is not substantive review. If you publish in the EU, the distinction can also matter for specific AI Act transparency duties—but it is not a universal exemption for every AI-assisted draft.
What counts as human review?
The European Commission defines human review for the relevant EU AI Act transparency exception as deliberate examination of content by one or more natural persons with relevant knowledge and professional judgment about its subject. Editorial control must be exercised in practice by a responsible editorial entity with authority to approve, alter, or reject the substance on substantive grounds, including fact-checking and assessing whether sources are trustworthy. The Commission says superficial or purely formal checks—such as spell-checking or grammatical correction—do not qualify. See the European Commission’s Article 50 FAQ.
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This describes the Commission’s interpretation of a particular transparency exception, not a general rule that every AI-assisted draft everywhere must go through the same legal process. A useful editorial standard is nevertheless clear: the reviewer must engage with what the content says, not just how it reads.
How to build a review workflow
- Define what needs review. Specify which AI-assisted material requires approval and what “ready to publish” means. Scale the depth of review to the likely consequences of an error: content affecting health, safety, rights, finances, or public understanding warrants more scrutiny than a low-impact internal draft.
- Assign a qualified reviewer. Choose someone with knowledge and professional judgment appropriate to the claims. For specialist material, route it to a relevant subject expert; familiarity with AI tools does not by itself establish subject expertise.
- Check claims, evidence, and framing. Verify material factual assertions against reliable sources. Inspect citations and quotations, look for unsupported details or missing context, and assess whether the presentation could mislead even if individual statements are technically accurate.
- Give the reviewer genuine authority and time. The reviewer should be able to require substantive edits, reject the draft, or block publication. An approval that is automatic or limited to grammar does not provide meaningful editorial control.
- Escalate what cannot be validated. Ask a subject expert or responsible editor to review uncertain or consequential claims. If the system behaves unexpectedly, do not treat the output as routine; investigate and intervene before relying on it.
- Record the decision. Keep the content version, reviewer and relevant expertise, checks performed, significant corrections or unresolved issues, final decision, and responsible editor. This is practical recordkeeping guidance, not a universal form prescribed by the cited sources.
- Revisit the process. Sample published work and update reviewer guidance when recurring errors, system changes, or new use cases reveal weaknesses. The sources support monitoring and oversight capabilities but do not prescribe a universal sampling schedule.
What to check before approval
- Factual accuracy: Are key claims supported by reliable evidence, and do the sources actually say what the draft attributes to them?
- Quotations and attribution: Do quoted words, names, dates, and citations match the cited material?
- Context and balance: Has the draft omitted qualifications, uncertainty, or context that changes the meaning?
- Unsupported specifics: Are there invented statistics, examples, sources, or details that sound plausible but cannot be verified?
- Publication decision: What must change before publication, and who has authority to approve the final version?
When high-risk AI oversight requires more
For high-risk AI systems covered by the EU AI Act, Article 14 requires effective human oversight during use. Oversight measures must be proportionate to the system’s risks, autonomy, and context. People assigned oversight need to be able to understand the system’s capabilities and limitations, monitor for anomalies or unexpected performance, account for automation bias, interpret outputs, disregard or reverse them, and intervene or stop the system safely. These operational controls go beyond a post-generation editorial read. The requirements are set out in Article 14 of Regulation (EU) 2024/1689.
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The Act specifies separate confirmation by at least two competent, trained, and authorized natural persons in a particular high-risk biometric identification context. That is a narrow provision, not a general requirement for two people to review AI-generated writing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Does human review affect EU labeling duties?
Article 50 distinguishes provider duties to mark synthetic outputs in machine-readable form from deployer duties to disclose certain content to people exposed to it. For text, the relevant public-interest rule concerns AI-generated or manipulated text intended to inform the public on matters of public interest. The Commission’s examples include developments in politics, public administration, justice, rights, security, public health, the environment, consumer safety, the economy, finance, science, and culture when relevant to public debate.
The Commission says the text-labeling rule has an exception where the content has undergone human review or editorial control and a natural or legal person holds editorial responsibility for publication. That means substantive review and accountable editorial control may matter to this specific exception; a spell-check or grammar pass alone is not enough. Whether a particular publisher, content, or publication falls within the rule depends on the facts and applicable jurisdiction.
The Commission states that Article 50 transparency obligations apply from 2 August 2026. Its transparency guidelines explain implementation. The Commission describes its Code of Practice as a voluntary compliance tool for covered marking and labeling duties; entities that do not follow it must demonstrate compliance through other adequate means.
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