You can still find trustworthy information online, but judge the evidence behind a claim rather than whether its writing sounds human. AI can produce mistakes, and people can too. An AI-detector score does not prove who wrote a passage or whether its advice is correct.
Updated : Replaced the detector-led trust advice with a source-checking checklist and explained why authorship scores do not prove accuracy or misconduct.
Check an important claim in five steps
- Find the original source. Follow the link to the manual, study, announcement, or record that the article relies on.
- Read the relevant part. Check that it supports the exact claim, including any conditions.
- Check the date and version. A correct guide for an old app can be wrong for the screen in front of you.
- Compare independent evidence. Several pages repeating one unsourced statement do not confirm it.
- Look for missing limits. Ask which devices, plans, countries, prices, or exceptions the claim leaves out.
For technology instructions, the manufacturer’s current support page is usually a useful place to start. For a study, find the paper and check what was actually measured. A headline often sounds broader than the evidence below it.
What an AI detector can and cannot tell you
Tools such as ZeroGPT estimate whether writing resembles patterns they associate with AI. That is different from finding a factual error, proving plagiarism, or identifying an author.
Researchers have found important limits. A 2023 study of GPT detectors found bias against non-native English writing in the tools it tested. It does not measure every present-day detector, but it shows why a score should not be used alone to accuse someone.
| Signal | What it may help you assess | What it cannot prove alone |
|---|---|---|
| An AI-detector score | A tool’s estimate about writing patterns | Authorship, truth, or cheating |
| A citation | Where a claim may have come from | That the page supports the claim |
| An author’s name | Who takes responsibility for the piece | That every detail was checked |
| A recent update date | When a page says it changed | That all instructions are current |
| A detailed example | How advice might apply | That the writer actually tested it |
How to check an AI answer with citations
Choose one claim that matters and open its source. If the answer says a feature works on every phone, check the supported-model list. If it gives a price, check the plan, currency, billing period, and date.
Ask for clarification when the source is missing, but do not treat a second AI explanation as independent evidence. Our Perplexity guide shows how to inspect citations in an answer engine.
Be careful with screenshots and confident reviews
A screenshot can be cropped, edited, or taken from an old version. Look for the original page or announcement and compare the context. A claim of hands-on testing should explain the device, method, and limits rather than simply using words such as “tested” or “proven.”
Watch for guaranteed results, unexplained rankings, and links that do not support the surrounding text. These are reasons to check further, regardless of whether a human or AI wrote the page.
A simple habit before acting
Before buying something, changing an important setting, or sharing a striking claim, ask: “Can I show where this fact comes from?” If the answer is no, pause and look for better evidence.
The same habit helps with everyday AI apps: use them to help with a task, then check the parts that matter. NIST’s AI risk-management resources also treat trustworthy use as an evidence and risk-management problem, not a writing-style test.