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AI Glossary

AI Hallucination

When an AI model generates factually incorrect information presented as truth.

TL;DR

  • —When an AI model generates factually incorrect information presented as truth.
  • —Understanding AI Hallucination is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI hallucinations occur when LLMs confidently produce information that is fabricated, inaccurate, or nonsensical. This is particularly dangerous in enterprise settings where AI-generated content may be used for decision-making, client communications, or regulatory filings. RAG and output verification help mitigate hallucination risks.

Related Terms

Retrieval-Augmented Generation (RAG)

A technique that grounds AI responses in retrieved documents to improve accuracy and reduce hallucinations.

AI Guardrails

Safety mechanisms that constrain AI system behavior to prevent harmful, biased, or off-policy outputs.

Responsible AI

An approach to AI development and deployment that prioritizes safety, fairness, transparency, and accountability.

Semantic Filtering

AI-powered content analysis that understands meaning and intent rather than relying on keyword matching.

Knowledge Hub

Glossary FAQs

AI Hallucination is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage when an ai model generates factually incorrect information presented as truth.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize AI Hallucination through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like Retrieval-Augmented Generation (RAG) and AI Guardrails.

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