---
title: "Hallucination"
description: "A hallucination is when an AI model produces a confident answer that is factually wrong or made up."
canonical: "https://www.whatsnext-ai.com/glossary/hallucination"
---

# Hallucination

A hallucination is when an AI model produces a confident answer that is factually wrong or made up.

## Definition

Models predict plausible text, not verified truth. In production you cut it down by grounding answers in your own sources, citing them, adding human review for high-stakes steps, and evaluating outputs continuously. That’s the difference between a demo and a system you can trust.

## Related

- [AI Consultancy](https://www.whatsnext-ai.com/ai-consultancy)
- [AI Agents](https://www.whatsnext-ai.com/ai-agents)

## Source

Ji et al. (2023) — Survey of Hallucination in Natural Language Generation (ACM Computing Surveys) (https://arxiv.org/abs/2202.03629)
