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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Before publishing AI-generated text, verify every factual claim against reliable evidence; fluent writing and plausible citations are not proof. Check what each claim says, whether its source actually supports it, whether it is still current, and whether important points have independent confirmation. An editor—and, when needed, a subject expert—remains responsible for the final version.
Start with the assignment and its risk
Set the audience, scope and intended publication date before checking claims. Decide whether AI is suitable for the task. The House of Commons Library cautions against relying on AI for definitive factual answers and says contested issues, law and policy need careful oversight. Its briefing puts the principle plainly: “AI should be treated as an assistant, not an authority.”
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Scale review to the consequences of an error. A mistaken date in a casual explainer is not equivalent to an incorrect legal requirement, medical statement or research finding. Specialist, disputed or high-consequence material warrants review by an appropriately qualified human.
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Break the draft into checkable claims
Read the whole draft sentence by sentence and flag factual assertions, including claims embedded in polished explanation or confident-sounding conclusions. Check especially:
- Names of people, places, organizations and products
- Dates, numbers, statistics, rankings and comparisons
- Quotations and claims about what a source says
- Laws, policies, regulations and official requirements
- Cause-and-effect statements and claims about how something works
British Columbia’s guidance recommends checking factual details such as names, dates, figures, quotations and citations rather than assuming a plausible sentence is accurate: guidance on checking AI-generated content.
Open every citation and test what it proves
Visit each linked source yourself. Confirm that the page or document exists, is relevant to the exact claim, and supports the wording used in the draft. A source that merely mentions the topic does not necessarily establish the claim; nor does a citation become trustworthy because its title or URL looks plausible. AI-generated links may be broken, outdated or unrelated.
Check that quotations match the original and retain their context. If a draft attributes a figure or conclusion to a report, inspect the report and confirm the passage, table or underlying data actually says that. The House of Commons Library briefing and British Columbia guidance both emphasize careful checking rather than trusting generated citations.
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Prefer direct, authoritative evidence
Start with the original record whenever possible: the law itself, an official dataset, a study, a regulator’s notice, or the organization responsible for a policy or service. When primary evidence is unavailable or difficult to interpret, use a recognized regulator, peer-reviewed research or a credible authoritative briefing. Choose a source qualified for the specific claim, not simply one with a familiar name.
For each important source, assess five things:
- Authority: Is it the original record or a publisher qualified to address the subject?
- Recency: When was it published or updated, and could the fact have changed?
- Scope: Does it cover the relevant jurisdiction, population, period and definitions?
- Directness: Does it establish the claim itself, or repeat another source?
- Independence: Does another source confirm it independently?
These are practical comparison questions synthesized from the cited source-quality guidance, not a quoted formal standard.
Check dates, definitions and context
A claim can be accurate in one place or period and misleading in another. Record the source’s publication or update date and check whether the draft’s jurisdiction, population, measurement period and definitions match the source. Recheck volatile details near publication. The House of Commons Library specifically advises checking whether information may have become outdated.
Preserve qualifications that affect meaning. A statistic without its population or time period, a policy described without its jurisdiction, or a study result presented without its limitations can mislead even when the underlying source is genuine.
Confirm important claims independently and handle disagreement
For material claims, look for a second authoritative source that reaches the same conclusion independently. Two pages repeating one original report are not independent confirmation. If sources disagree, compare their authority, dates, original evidence, definitions and scope. Do not quietly choose the tidier answer: explain meaningful uncertainty or narrow the claim to what the evidence establishes.
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Review the whole piece and make the editorial call
Claim-by-claim verification does not replace a whole-draft review. Look for contradictions, missing context, biased framing, unsupported conclusions and caveats lost in the rewrite. Ask an editor or subject expert to review specialist, disputed or high-consequence material. Confidence in the generated prose is not a substitute for that review.
Rewrite or remove anything that cannot be substantiated, attribute evidence clearly, and take responsibility for the published version. The House of Commons Library states that the best safeguard against hallucinations is to check generated material carefully, ideally with an expert: Working with AI and spotting AI-generated text.
Follow the relevant publication rules
If the text is for scientific or research publication, independently verify sources and extracted data, review AI-generated content, and consult the destination’s current author instructions for disclosure requirements. Those requirements vary by journal and organization; one publisher’s policy should not be treated as universal. The CDC’s scientific-work guidance advises authors to review and edit AI output and warns that citation inaccuracies can be considered research misconduct. Check the current instructions before submission.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesDo not confuse AI detection with fact-checking
AI detectors address whether content may have been generated or altered synthetically; they do not establish whether a statement is true. NIST’s work on synthetic-content approaches and editorial verification guidance address distinct questions. A detector result cannot replace checking claims against evidence.
There is no broadly applicable error-rate figure established here for AI-generated factual prose. A percentage without a specified model, task, date and measurement method would not tell a publisher how accurate a particular draft is.
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