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Pause before acting on an AI answer that may be wrong. Mark the specific factual claims, open the cited sources yourself, check whether the information is current and in context, and use a qualified human source for medical, legal, financial, employment, housing or other high-impact decisions. Treat the output as a draft—not proof—and report the response through the app’s own process when that will help.
Why a fluent AI answer can still be false
Generative AI apps produce text that sounds coherent, but fluency is not evidence. A system can state a wrong date, invent a quotation, attach a real-looking citation to a nonexistent study, or answer an ambiguous question with unwarranted certainty. It can also combine accurate information with one fabricated detail, making the whole response appear trustworthy.
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OpenAI’s Help Center warns that ChatGPT may produce incorrect or misleading outputs and says, “Use ChatGPT as a first draft, not a final source.” It also states, “Confidence isn’t reliability: The model may express high confidence even in incorrect answers.” Those warnings apply to how you use an answer, not just to one model or one version. Other AI apps can have different failure patterns and reporting controls.
The practical risk depends on what you do next. A wrong detail in a casual brainstorming draft is inconvenient. False information used to assess another person for a job or a home can cause serious harm. The Office of the Privacy Commissioner of Canada’s 2026 joint investigation specifically discusses risks when inaccurate personal information influences employment or housing assessments.
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The immediate response: pause and isolate the claims
1. Stop before taking the consequential action
Do not submit an application, change medication, sign a contract, transfer money, publish an allegation or make a decision about another person solely because an AI answer sounds certain. Save the conversation or copy the relevant passage so you can inspect exactly what was said. If the answer concerns someone’s personal information, avoid forwarding it while it is unverified.
2. Mark what can be checked
Separate the response into individual claims rather than treating it as one block of text. Flag names, dates, quotations, statistics, legal requirements, technical commands, product specifications, study titles, links and statements about a person’s history. Distinguish those checkable claims from opinions, suggestions, creative wording and predictions. A response may contain useful suggestions alongside fabricated facts.
3. Write the question the answer was supposed to resolve
Ambiguous prompts invite an overconfident guess. Restate the issue in one sentence and list missing details such as location, date, edition, age, jurisdiction or intended use. A precise question makes it easier to identify what must be verified and prevents a vague answer from being mistaken for a definitive one.
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Open the source, not just the citation
If the app supplies a citation, click through to the original document or website. Confirm that the source exists, that it says what the answer claims, and that the quoted passage has not been taken out of context. A plausible title, journal name or URL is not proof; an AI system can fabricate any of them. Search for the exact quotation or document title when a link is missing, then use the publisher’s or institution’s own copy.
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OpenAI’s guidance recommends checking quotes, data, technical information and references to external documents directly. A citation is a lead for your checking process, not an independent guarantee that the statement is true.
Check the date and the scope
Some facts are relatively stable, while laws, prices, software behavior, public-health guidance and organizational policies can change. Use a current search or an authoritative current record when the answer could have changed. Read the surrounding text for geographic limits, eligibility conditions, definitions, exceptions and effective dates. A technically accurate statement about one country, model edition or previous year can be wrong for your situation.
Confirm with an independent authority when the stakes are high
For medical questions, consult an appropriately qualified clinician and authoritative health records. For legal issues, use the applicable statute, court or regulator and obtain professional advice when necessary. For financial decisions, verify figures and obligations with the relevant institution or a licensed adviser. Employment, housing, immigration, education, safety and identity decisions also warrant an accountable human reviewer. Do not let an unverified answer determine an important action about another person.
Recalculate numbers and test instructions safely
Recompute percentages, dates, unit conversions and totals from the underlying data. For code or technical procedures, compare the command with the official documentation and test it in a disposable or backed-up environment before using production data. A confident explanation of a command does not establish that the command is safe or compatible with your version.
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A verification framework for deciding how much checking is enough
Use three questions to set the level of scrutiny: What is the consequence of being wrong? Can the claim be directly checked? How likely is it to have changed?
| Factor | Lower-risk case | Higher-risk case | What to do |
|---|---|---|---|
| Consequence | Brainstorming a party theme or rewriting a casual paragraph | Medication, legal rights, money, housing, employment or a decision about a person | Move from a quick source check to authoritative records and qualified human review |
| Checkability | Specific date, quotation, number, command or named document | Subjective recommendation, forecast or interpretation with no agreed test | Verify factual components; label judgments as suggestions rather than facts |
| Freshness | Stable background concept with a clear publication date | Current policy, software feature, regulation, price or event | Use a current source, read its effective date and confirm that it applies to your region or version |
These factors can combine. A current medical dosage is both high-consequence and time-sensitive, so a search snippet or chatbot summary is not enough. A low-stakes creative idea may not need external checking, but any factual statement you reuse in a public document does.
What to do when the app made up a source
First, preserve the exact citation and mark it as unverified. Try the title, author, quoted words and publication details separately in a reliable catalog, publisher site or institutional database. If no record exists, do not cite it. If a similarly named source does exist, read the real document and determine whether it supports the claim; do not silently substitute it.
Correct the draft by removing the unsupported statement or replacing it with a source you have personally checked. Tell collaborators that the original citation was not confirmed, especially if the text has already circulated. Do not accuse a real author or organization of saying something based only on the AI output.
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What to do with a wrong answer that mixes true and false details
Do not keep the response merely because parts of it are accurate. Build a claim list and assign each item a status: confirmed, contradicted, unverified or opinion. Retain only confirmed facts that fit the question and context. Rewrite the answer from the verified material rather than editing a few words around a fabricated detail.
For a technical answer, compare every step with the relevant version of the official documentation. For a summary, inspect the original text and ensure that the wording does not turn a qualification into an absolute claim. For personal information, remove details that cannot be substantiated and avoid sharing them while the review is incomplete.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When an AI answer affects another person
Use a higher standard when the output describes an applicant, tenant, employee, customer, patient, student or other identifiable person. False information can affect reputation, access to housing or employment and the person’s ability to challenge the decision. Verify facts through lawful, relevant records and established procedures, not through a chatbot’s assertion. Give the responsible decision-maker a way to document the evidence and correct errors.
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The Canadian privacy regulator’s report uses employment and housing assessment as examples of higher-consequence use. The principle is broader: the more power a decision has over someone, the less acceptable it is to rely on an unverified generated answer.
How accurate are AI apps?
There is no single accuracy percentage that applies to every AI app, prompt or date. The Office of the Privacy Commissioner of Canada reported that OpenAI’s internal GPT-4 evaluations across nine categories were 70–80% accurate. The report explicitly says those evaluations were not intended to represent overall system accuracy. This is historical, scoped evidence reported in 2026—not a current universal accuracy rate for ChatGPT or all AI apps.
The same report says OpenAI found GPT-3.5 an average of 19 percentage points less accurate than GPT-4 in those internal evaluations. That comparison is also limited to the cited historical evaluations; it is not a general present-day ranking of models.
NIST’s evaluation program describes work across AI modalities, including tests of text believability and code reliability. Such programs show that systematic evaluation is ongoing, but they do not prove that a particular answer is correct. The only useful question for a specific response is whether its material claims survive appropriate checking.
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ChatGPT
OpenAI’s current instructions for ChatGPT are specific to ChatGPT:
- Select the thumbs-down control below the message.
- Choose “Safety or Legal concern”.
- Follow the prompts to submit the report.
OpenAI also provides a content-reporting webform for covered content. Include the conversation details the form requests and explain which statement is inaccurate, fabricated or harmful. Reporting helps the provider review the response; it does not make the answer reliable retroactively, so correct any document or decision separately.
Other AI apps
Do not copy ChatGPT’s menu path into another service. The available evidence does not establish a universal reporting interface. Open that app’s current help center, feedback control or safety-reporting page and follow its instructions. If no reporting route is visible, record the app name, version, date, prompt and response, then contact the provider through its official support channel. Remove unnecessary personal or confidential information before submitting a report.
A practical checklist before you rely on an answer
- Have I identified the exact claims that matter?
- Did I open each important cited source myself?
- Does the source support the precise wording, not merely a related topic?
- Is the information current for my date, location, jurisdiction, edition or software version?
- Did I recalculate numbers and test technical instructions safely?
- Could an error harm me or another person?
- For a consequential decision, did I consult an accountable professional or authoritative record?
- Did I remove or label claims that remain unverified?
- If the response was harmful or deceptive, did I use the app’s own reporting route?
The bottom line
An AI answer is a starting draft, not an authority. Pause, break it into checkable claims, inspect the original sources, account for date and context, and escalate high-impact questions to qualified humans. Confidence, polished prose and a citation-shaped link cannot replace verification. Report a problematic response through the service’s documented process, but never treat reporting as a substitute for correcting the decision or document that the wrong answer affected.
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