How do I use an AI tool as a second reader on a label without trusting it blindly?
Use it to point at lines worth a second look, not to sign off. Ask an AI tool your company has approved to flag any word that doesn't fit its sentence, then check every flag yourself, and still read the high-stakes lines it didn't flag.
AI can catch some correctly spelled wrong words. It can also miss one, or suggest a fluent rewrite that changes required wording. This page is practice advice, our view, not a regulatory requirement.
Check your company's AI policy first
Unreleased label text is usually confidential. Our view: use only AI tools your company has approved for that kind of text, and follow its rules on what you may paste in. If you aren't sure, ask before you paste.
How to ask
Plain instructions work better than clever ones, in our view:
- Tell it what the section is for, such as warnings or directions.
- Ask it, for each sentence, to quote any word that doesn't fit the meaning, along with the sentence it's in.
- Tell it not to rewrite required wording and not to fix grammar or style.
Asking for quotes, not rewrites, keeps the output easy to check against the approved text.
How to check the output
- Check each flag against the approved source text.
- Keep required wording exactly as approved, even if the tool suggests something smoother.
- Reject "improvements" that change meaning or order.
- If a flag is real, treat it like any other error: see found a wrong word: what next.
A clean result isn't sign-off
A tool saying nothing looks wrong doesn't prove nothing is wrong. Pairs such as "dysphagia" and "dysphasia", or "prostate" and "prostrate", are both real words, and a fluent model can read past them. Read warnings, directions, uses and first-aid lines yourself, with the section guide.
What regulators say
EMA's reflection paper on AI in the medicinal product lifecycle, section 2.3.5, says:
AI/ML applications used for drafting, compiling, editing, translating, tailoring, or reviewing medicinal product information documents should be used under close human supervision. Given that generative language models are prone to include plausible but erroneous or incomplete output, quality review mechanisms need to be in place to ensure that all model-generated text is both factually and syntactically correct before submission for regulatory review.
For the US picture, see what the FDA's AI guidance does and doesn't cover and does the FDA use AI to review drug labels.
Should we record it?
Follow your quality system. Our view: noting any AI-assisted pass in the review record helps the next reviewer know what was and wasn't checked. More in spellcheck vs grammar vs AI proofreading and can an AI proofreader introduce wrong words.
Sources
Last reviewed: October 14, 2026
More on contextual errors in FDA DailyMed labels.
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FAQ
Can I use a public AI chatbot to check a drug label for wrong words?
Only an AI tool your company has approved for confidential text, and only as a second reader. You still check the result. This is practice advice.
What should I ask an AI tool when checking a label?
Tell it the section's purpose, ask it to quote any word that doesn't fit its sentence, and tell it not to rewrite required wording.
Is it safe to paste label text into a public AI tool?
Check your company's policy first. Unreleased label text is usually confidential.
The AI says the label looks fine. Am I done?
No. Read the high-stakes lines for meaning yourself.
Should AI review be recorded in QC records?
Follow your quality system. In our view, noting any AI-assisted step helps reviewers know what was checked.