LLM Hallucination

Also known as: AI Hallucination, Confabulation, Fabrication, Model Error

Phenomenon where an LLM generates false information presented with high confidence, as if it were real fact.

LLM Hallucination is the phenomenon by which a language model generates factually incorrect, fabricated, or baseless information, presenting it with a tone of certainty and coherence that makes it difficult to detect without external verification.

In the context of market research, hallucinations represent a severe risk: an LLM could invent market statistics, cite non-existent studies, fabricate consumer responses in synthetic panels, or generate insights inconsistent with real survey data.

Key strategies to mitigate hallucinations in research applications: (1) RAG systems that anchor model responses in real data; (2) prompts that instruct the model to cite its source or admit uncertainty; (3) human validation of all critical outputs; (4) hallucination detection tools such as groundedness checkers.

At Atlantia, all AI-generated insights go through expert review before being delivered to the client.