Generative AI "makes things up" — a behavior called hallucination — because of how it works at a fundamental level. Here's a clear explanation of why it happens:
Generative AI like ChatGPT doesn’t understand facts or the world like humans do. Instead, it works by:
🔡 Predicting the next word or piece of content based on patterns it has seen in massive amounts of data.
For example:
AI doesn’t "know" things. It doesn’t verify facts — it just generates likely-sounding responses based on training data.
Example: It may say “The sun rises in the west” if its prediction engine thinks that fits the sentence pattern — even though it’s clearly false.
If the AI wasn’t trained on reliable or complete information about a topic, it might guess to fill in the blanks.
Example: If very little is written about a specific person or event, AI might fabricate a bio or quote.
When a question is unclear, open-ended, or very niche, the AI may "improvise" an answer — sometimes convincingly but wrongly.
Example: Asking “Who won the Martian Chess Championship?” might get a made-up answer — because no real event exists.
AI often uses a confident tone to sound helpful. But even when it’s unsure, it doesn’t signal doubt well, making wrong answers feel right.
Result: People are more likely to believe hallucinated answers.