What is hallucination
Also known as: AI hallucination, hallucinations, confabulation
Definition
An AI hallucination is an answer an AI model makes up and states with confidence, such as an invented price, rule or source, because it predicts likely words.
Why it matters
A made up answer that reaches a customer becomes the business's answer: a wrong price, a rule you do not have, a promise you did not make.
Common mistakes
Reading a confident tone as proof that the answer is correct.
Related terms
Worked exampleIllustration
Parking and a child, at a fictional pilates studio
A fictional neighbourhood pilates studio answers questions on WhatsApp with an AI assistant. The question and the answers are invented for this example.
The question
A customer asks: "Is there parking, and can I bring my child to class?"
Without the sheet
The assistant answers: "Yes, free parking in the lot next door, and children are welcome in the Friday class."
The check
Against the studio's policy sheet, the parking is invented, since the sheet says nothing about it, and the child line contradicts "Classes are for adults only".
The fix
The owner attaches the sheet and adds: "If it is not in the sheet, say you will check."
With the sheet
The same question now gets: "Classes are for adults only. About parking, I'll check with the studio and get back to you."
The invented answer sounded exactly as sure as the true one. Confidence is not a check.
Illustration
Flat odds, a sure sentence
CustomerIs there parking, and can I bring my child to class?
AssistantYes,free parkingin the lot next door
Step 3 of 3: the likely next pieces
- in the lot next door23%
- nearby21%
- behind the building17%
At 23%. Three near guesses in a row became one confident sentence, and none of it came from the studio.
Spot the invented parts
CustomerIs there parking, and can I bring my child to class?
- Parking: the sheet says nothing about it, so this was invented.
- Children: the sheet says classes are for adults only.
Two invented facts, written as surely as a true one. Nothing in the sentence tells you which parts to doubt.
Definition
A hallucination is content a language model produces that is false or made up but reads as true: an invented price, opening hour, policy, legal rule, statistic, quote, source or link, written in the same confident tone as the correct parts. It happens because the model is built to produce likely text, not to check facts. Researchers at OpenAI argued in 2025 that the usual training and scoring reward a confident guess over "I don't know", the way an exam that gives no credit for a blank answer rewards guessing. NIST's Generative AI Profile of 2024 names the same risk confabulation.
Why it matters
Hallucinations cannot be switched off. They are reduced by giving the model your own documents to answer from, and by a rule that a person checks anything that reaches a customer.
Improvement tips
- Give the tool your own documents to answer from, and tell it what to say when the answer is not there: "I'll check and get back to you".
- Ask for the source of every fact that matters, and open it before you use the fact.
- Have a person check anything that reaches a customer: prices, dates, policies, allergens, legal or medical wording.
- Send anything legal, medical or financial to a qualified person, not only to whoever knows the business.
Common mistakes
- Trusting AI citations, statistics or links without opening them.
- Believing one setting or one prompt can switch hallucinations off, when they can only be reduced.
- Letting a customer facing assistant answer questions its documents do not cover, instead of passing them to a person.
Related terms
RAG
RAG (retrieval-augmented generation) is a method where AI answers from your documents: it first finds the relevant passages, then writes the answer from them.
LLM
An LLM (large language model) is AI trained on masses of text to predict the next piece of a sentence. That is how chat tools write answers, right or wrong.
Prompt
A prompt is the instruction you give an AI tool: the question, the task, the context and the format you want. A clearer prompt gets a more useful answer.
Generative AI
Generative AI is AI that creates new text, images, audio or code from a request. What it writes is a likely draft built from patterns, not a checked fact.
Context Window
A context window is how much text, in tokens, a model can see at once: instructions, files, the chat so far and its reply. What falls outside, it cannot use.
AI Model
An AI model is the trained file at the heart of an AI tool: it takes an input, applies patterns learned from data, and returns a prediction, a label or text.
Quick check
A studio's assistant tells a customer there is free parking next door. The policy sheet says nothing about parking. What is this?
Choose an answer
Frequently asked questions
What is an AI hallucination in simple words?
Why do AI models hallucinate?
What does a hallucination look like?
Can I switch hallucinations off?
Why does my customer chatbot invent policies?
Is a hallucinating AI broken?
Will an AI tool lie to me on purpose?
Who should check AI answers?
What goes wrong if a hallucination reaches a customer?
Why is it also called confabulation?
How can I spot an invented detail quickly?
Does connecting the AI to my documents solve the problem?
Sources: Kalai, Nachum, Vempala and Zhang, "Why Language Models Hallucinate", OpenAI, September 2025 (arXiv 2509.04664), read 2026-09-25, NIST AI 600-1, "Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile", 2024, section 2.2 Confabulation (doi.org/10.6028/NIST.AI.600-1), read 2026-09-25
Last reviewed: 2026-09-25
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