How to fact-check AI answers before you study them

To fact-check an AI answer, compare it with your notes and with the course textbook or official document, recompute any number, open each citation to confirm it exists and says what is claimed, and be suspicious of precise figures with no source. The more an answer matters for your exam or assignment, the more thoroughly you should check it.

Fact-checking does not mean distrusting everything by default. It means deciding what goes into your notes. A general explanation of a familiar concept needs a quick check; a date, a formula, a reference or a regulation needs you to find the exact source.

Language models generate text that sounds plausible based on learned patterns. They are often right, but they can mix up facts, invent references or drop an important condition, and they do it in the same confident tone they use when they are right. Fluent writing tells you nothing about whether the content is correct.

UNESCO's 2023 guidance on generative AI in education calls for keeping human judgment in charge and validating what these tools produce before using it for learning. For a student, that becomes a concrete habit: no answer goes into your notes without a source you can open.

You do not need to research every sentence for half an hour. Follow an order that starts with what is closest to your assessment and moves outward, and stop when the doubt is resolved.

Calculations are easy to check and go wrong more often than you might expect. Our own example: an AI says that if a price of 80 rises by 25% and then falls by 25%, it returns to 80. Recomputing, 80 times 1.25 is 100, and 100 times 0.75 is 75. The final price is 75, because the second percentage applies to a larger base.

Do the same with units, conversions and formula results. If the answer includes a procedure, follow each step and check that the result makes sense: a car traveling at 3,000 km/h or a probability greater than 1 signals an error even when the text looks flawless.

A reference with an author, year, journal and page numbers looks trustworthy, but it may not exist. Search for the exact title, the DOI or the cited book. If you find it, open the page or section given and confirm it says what the answer attributes to it, with the same conditions.

If you cannot find the reference after two or three searches, treat it as invented and do not cite it. In academic work, citing a source you never read is a serious problem even when it exists. Read at least the passage you plan to use.

Some signs suggest an answer needs a closer look. None of them proves an error on its own, but each one is a reason to open the source before studying the content.

Checking an answer makes you read the source, compare and decide, and that is part of learning. The study by Bastani and colleagues with GPT-4-based tutors in high school mathematics found that unrestricted access improved performance during practice but worsened later unassisted test performance compared with the control group; a tutor designed to give hints mitigated that effect.

That study did not evaluate Lumia AI or every possible use of AI. It does suggest a useful precaution: if a tool hands you the full solution and you copy it, practice seems to go well until the exam. After checking an answer, solve a similar case without help.

In Lumia AI's tutor chat you can work with your own sources, up to three per conversation. Answers can show references like “Source 1 · p. 4”: open them and confirm the page says what the tutor claims before the idea goes into your notes.

Generated flashcards and quizzes are drafts too. You can edit them to fix answers, change the wording or add a hint. A reference tells you where to look; reading that passage and deciding whether the answer is right is still your job.