Hallucination

SafetyIntermediate

Definition

When AI models generate plausible but incorrect or fabricated information, often with high confidence.

Why "Hallucination" Matters in AI

Understanding hallucination is essential for anyone working with artificial intelligence tools and technologies. As an AI safety concept, understanding hallucination helps ensure responsible and ethical AI development and deployment. Whether you're a developer, business leader, or AI enthusiast, grasping this concept will help you make better decisions when selecting and using AI tools.

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Related terms

ReliabilityTruthfulnessEvaluation

Frequently Asked Questions

What is Hallucination?

When AI models generate plausible but incorrect or fabricated information, often with high confidence....

Why is Hallucination important in AI?

Hallucination is a intermediate concept in the safety domain. Understanding it helps practitioners and users work more effectively with AI systems, make informed tool choices, and stay current with industry developments.

How can I learn more about Hallucination?

Start with our AI Fundamentals course, explore related terms in our glossary, and stay updated with the latest developments in our AI News section.