AI 為什麼會給錯誤答案？

這叫幻覺，是這類技術的本質不是偶爾的 bug。它的運作方式就可能編造出看起來合理、實際上錯誤的內容，且講得很有自信。

哪些情況用 AI 一定要查證？

數據統計數字、人名引用出處、法律醫療財務、時事最新資訊，以及任何你要公開發表、要負責的內容，碰到一定要核實。

怎麼查證 AI 說的對不對？

用搜尋引擎交叉比對關鍵事實、要求 AI 給來源並去核對、用附來源的 AI 搜尋（如 Perplexity）、重要的事問專業（律師、醫生）。

查證是不是代表不能信任 AI？

不是。AI 的話很有參考價值，但它說的不等於事實。把它當很博學但有時會自信講錯的朋友，查證後再決定採信，這是聰明地用 AI。

AI 說得頭頭是道，但你查證了嗎？這個習慣能救你一次大糗

AI 會「一本正經地胡說八道」，這不是它的 bug，是它的本質。養成查證的習慣，是用 AI 最重要、卻最多人忽略的一課。

I must talk about one crucial thing regarding AI that is often overlooked: AI can confidently provide incorrect answers. This is called "hallucination," which is not an occasional bug, but rather an inherent nature of this technology. It's not that AI intentionally deceives you; it's just that its operating mechanism can "fabricate seemingly reasonable but actually incorrect" content. Failing to understand this point will eventually lead to significant losses.

The Real Cost

This is not an exaggeration. I've seen and heard numerous cases:

Someone used AI-generated data for a presentation and was caught on the spot.
A student cited a "reference" provided by AI, only to find that the paper didn't exist.
Someone followed AI's legal or medical advice and almost got into trouble.
Someone shared content written by AI, only to find that the "facts" were incorrect.

These instances aren't because those people were foolish; it's because AI presents information with such confidence and fluency that people forget to verify.

Situations That Require Verification

Not everything requires fact-checking (you don't need to verify if you ask AI to write a story or come up with an idea), but the following categories must be verified:

Data, statistics, numbers: AI often fabricates in these areas.
Names, citations, sources: Especially when AI mentions "a certain paper" or "someone said," it's often false.
Legal, medical, financial matters: These are crucial to your rights and safety, so it's essential to confirm with professionals.
Current events, latest information: AI's knowledge may be outdated.
Any content you plan to publish or take responsibility for.

How to Verify (It's Simple)

Use search engines for cross-validation: Google the key facts mentioned by AI.
Ask AI for sources: Request AI to provide the source of the information and then verify the source.
Use AI search with sources: Tools like Perplexity provide sources, making it convenient to directly verify.
Consult professionals for important matters: For legal issues, consult a lawyer; for medical issues, consult a doctor. AI should only be used as a reference.

The Right Mindset

Treat AI like a "very knowledgeable but sometimes confidently incorrect" friend. Its information has reference value, but what AI says is not equal to fact; it's up to you to verify and decide whether to accept it. This isn't about distrusting AI; it's about using AI intelligently.

Developing a habit of verification might save you from embarrassment one day. People who use AI effectively are not those who blindly trust AI but those who know how to verify. For further reading: What is AI hallucination, Common pitfalls for AI beginners.

In a nutshell: AI can confidently talk nonsense, which is its nature, not a bug — data, names, citations, legal and medical matters must be verified. Treat AI like a knowledgeable but sometimes confidently incorrect friend; what AI says is not fact, and verification is key.

Sources

Compiled by the editorial team based on experience and general information.