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Stop before acting on it. Treat the response as a draft, isolate the claims that matter, and verify those claims against the original sources or an appropriately qualified professional. Fluent wording and apparent confidence are not proof. An AI answer can combine accurate information with invented names, dates, quotations, numbers, citations, or instructions.
First, pause and classify the answer
Do not immediately copy, send, purchase, diagnose, report, or decide based on a response that may be wrong. Save the conversation, then identify what the app is actually asserting. Separating the response into individual claims makes checking practical and prevents one convincing paragraph from receiving unearned trust.
Mark checkable claims
- Identity and attribution: names, job titles, organizations, product versions, quotations, and who supposedly said or published something.
- Dates and events: publication dates, deadlines, release dates, historical events, and claims that something is current.
- Numbers: prices, percentages, measurements, limits, dosages, performance figures, and totals.
- Technical directions: commands, settings, compatibility statements, code, configuration changes, and safety steps.
- References: papers, laws, court cases, standards, URLs, studies, and document titles.
Separate those statements from opinions, brainstorming, tone suggestions, and other subjective material. A response may be useful as an idea even when its factual details are unreliable. Conversely, a single fabricated reference can make an otherwise sensible-looking answer unsafe to use.
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- A quotation has no identifiable publication or differs when you search for the exact wording.
- A citation leads nowhere, leads to an unrelated page, or does not support the sentence attached to it.
- The answer supplies unusually precise numbers without a date, method, edition, or location.
- It presents a disputed or ambiguous matter as settled without acknowledging alternatives.
- Several details are inconsistent with one another, or the answer changes when you ask the same question again.
These signals tell you where to check first. They do not prove that every other sentence is correct.
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Verify the important claims at their sources
Open the cited source yourself instead of relying on the app’s summary. OpenAI’s Help Center advises checking quotes, data, technical information, and references to external documents, and says that a citation should be inspected directly when accuracy matters. A source shown by an AI tool is a lead to investigate, not proof by itself.
- Copy the claim, not just the topic. Write down the exact sentence you need to establish. Include qualifiers such as “in 2025,” “for the paid edition,” or “in Canada.”
- Find the original record. Prefer an official agency, court, standards body, manufacturer documentation, peer-reviewed paper, or the person or organization responsible for the statement. A repost or search-result snippet is not the same as the underlying document.
- Confirm existence. Check that the article, study, quotation, law, product page, or dataset actually exists and is attributed to the claimed author or organization.
- Read the relevant passage in context. Make sure the source supports the exact claim, including its population, date, conditions, exceptions, and confidence limits. A real source can still be misquoted.
- Record the result. Mark the claim as supported, contradicted, unresolved, or opinion. Keep the source and access date if the information may change.
If the app provides no source, search for the specific name, quotation, number, or phrase rather than accepting a broad search that merely resembles the answer. When you cannot establish a material claim, treat it as unverified and do not present it as fact.
Match the checking effort to the consequences
Not every mistake deserves the same response. A wrong detail in a casual draft is different from false information used to evaluate a person. The Office of the Privacy Commissioner of Canada’s 2026 joint investigation highlights the risk of inaccurate personal information in employment and housing assessments. Use the consequence of being wrong, the ease of independently checking the statement, and how quickly the underlying fact can change to set your threshold.
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|---|---|---|
| Low consequence, easy to revise | A tagline, outline, fictional idea, or informal draft | Check names and quotations; remove anything you cannot support before publishing. |
| Moderate consequence or changing information | Software instructions, a current price, a travel rule, or a deadline | Use current official documentation or records, check the version or jurisdiction, and test a reversible step first. |
| High consequence for a person or substantial money | Medical, legal, financial, employment, housing, insurance, or eligibility advice | Verify authoritative records and obtain advice from a suitably qualified professional before acting. Do not let the unverified output determine the decision. |
For a high-impact decision, preserve the original response and your verification notes. If an organization used the answer in a decision about you, ask what information was considered, request correction through the responsible process, and seek professional or legal help where appropriate.
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Check freshness, version, and context
An answer can be historically accurate and still wrong for your situation. Ask whether the fact is stable background knowledge or something that changes. Laws, prices, product interfaces, security guidance, eligibility rules, personnel, and service availability need current confirmation.
For changing facts
Use the app’s search or deep-research feature when available, but inspect every cited page yourself. Confirm the publication or update date, the country or jurisdiction, the product edition, and whether the page describes a temporary policy or a recurring rule. If the answer says “currently” without a date, regard that as a missing qualification.
For technical instructions
Check the exact operating system, application version, hardware, permissions, and account type. Prefer the vendor’s current documentation. Before changing a system, back up relevant data and use a reversible test account or setting when possible. Never run a command merely because it looks authoritative; understand what it changes and why the documented source recommends it.
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For quotations and studies
Search the quoted words in the original publication, then read the surrounding paragraph. Confirm whether the speaker, date, edition, sample, and conclusion match the app’s wording. A fabricated study title or plausible-looking DOI is a common form of made-up support; no result in a reputable catalog is evidence that the citation should be discarded.
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Use qualified human review for consequential decisions
For medical questions, use a licensed clinician and emergency services when symptoms could be urgent. For legal questions, consult a lawyer or an official court or government source. For taxes and investments, use the relevant authority and a qualified adviser. For employment, housing, credit, insurance, or admissions, rely on the organization’s documented criteria and applicable law, not an AI-generated profile or inference about a person.
Do not paste sensitive personal information into an app just to obtain a second opinion unless you understand its privacy controls and have a lawful, necessary reason to do so. When a decision concerns another person, verify the underlying record with the proper authority and give the person a way to correct inaccurate information.
What to do when the answer contains both good and bad information
Do not throw out or accept the entire response as a unit. Keep only statements you have independently supported. Rewrite the answer from those verified facts, and label unresolved points as unknown rather than filling the gaps with another guess.
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A practical correction workflow
- Duplicate or save the original conversation so the inaccurate output is not lost.
- Highlight each consequential factual claim.
- Check each claim against a primary or otherwise authoritative source.
- Delete fabricated citations and unsupported specifics, even if they make the answer sound complete.
- Ask the app for a revised answer that uses only the sources you provide, then verify the revision as well.
- Publish or act only after a human has reviewed the final version when the stakes justify it.
A follow-up prompt such as “List the claims in your previous answer that require external verification; do not invent sources” can help expose uncertainty, but it does not replace checking. Asking the same app to judge its own answer is another draft review, not independent corroboration.
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How to report a wrong ChatGPT answer
OpenAI documents a reporting route for ChatGPT responses. Select the thumbs-down control below the message, choose “Safety or Legal concern,” and follow the prompts. OpenAI also provides a content-reporting webform for covered content. Include the conversation context and explain which statement is inaccurate or harmful when the form permits it.
Those labels and controls are specific to ChatGPT. Do not assume another AI app has the same menu or review process. In a different app, open its current Help, Report, Feedback, or Safety section and follow the instructions shown there. If the response created an immediate risk, stop using it, contact the relevant professional or authority, and preserve the evidence needed for a complaint.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What accuracy figures can—and cannot—tell you
The Office of the Privacy Commissioner of Canada’s 2026 report describes OpenAI internal GPT-4 evaluations across nine categories as 70–80% accurate. The report explicitly says those evaluations were not intended to represent overall system accuracy. This is historical, scoped evidence from particular internal evaluations—not a current universal accuracy rate for ChatGPT or a rate that applies to every AI app, topic, prompt, or language.
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The National Institute of Standards and Technology describes evaluation work across AI modalities, including text believability and code reliability. Such programs show why systematic testing matters, but they do not establish that a particular response is true. Only claim-level checking can do that.
Prevent avoidable errors in your next prompt
- State the date, country, jurisdiction, product edition, and version that matter.
- Ask the app to distinguish established facts, assumptions, and recommendations.
- Require it to say “I don’t know” when it cannot verify a claim, rather than supplying a plausible completion.
- Provide the documents it should use and ask for page or section references; still open those references yourself.
- Request a list of uncertainties and missing information before asking for a final recommendation.
- For code or configuration, ask for prerequisites, expected results, rollback steps, and known failure modes.
These practices reduce ambiguity and make review easier, but they do not turn generated text into an authoritative source.
A quick decision checklist
- Have I paused instead of acting on fluent wording?
- Did I separate factual claims from opinions and suggestions?
- Did I open the original source and confirm that it supports the exact statement?
- Did I check date, jurisdiction, version, edition, and context?
- What happens if this claim is wrong, and is a qualified person required?
- Have I removed unsupported names, numbers, quotations, citations, and instructions?
- If the answer was harmful or unsafe, did I use the app’s current reporting route and preserve the conversation?
The safest default is simple: use AI to generate a draft, not to supply unexamined facts. OpenAI Help Center puts it this way: Use ChatGPT as a first draft, not a final source.
It also warns, Confidence isn’t reliability: The model may express high confidence even in incorrect answers.
Apply that rule to every AI app, then adjust the amount of checking to the consequences of being wrong.
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