What is an AI hallucination?

When AI answers confidently but wrong, it’s hallucinating: making things up. Why it happens, and which remedies actually work.

An hallucination is when an AI answers confidently but wrong: a number that never existed, a source that doesn’t exist, a paragraph in a contract that isn’t there. The model isn’t lying, it’s doing what it always does, predicting likely text, and sometimes the likely isn’t the true.

You can’t promise to eliminate hallucinations, but you can build them out of what matters. Three remedies work: sources (let the AI answer from a set material and show where it says so), labelling (distinguish between what’s backed by a source and what’s the model’s conclusion), and review (AI drafts are drafts until a person approves them).

That’s why EuroWork’s research answers link their sources, why the Lead Machine labels every contact detail as "backed" or "derived", and why documents have versions and approval flows. Never ask an AI service if it hallucinates, they all do. Ask how you can tell when it happens.

EuroWork

Your employees are already using AI, often in private accounts where no one sees what gets pasted in. EuroWork gives the same AI help in one place where you are in control: sensitive data is caught before it is sent, processing stays in the EU, every answer shows its price and management sets the rules.

See how EuroWork works →