Topic

Hallucination Controls

Hallucination controls are technical measures and operational practices designed to reduce false, misleading, or fabricated outputs generated by large language models and other AI systems. These controls are critical for enterprise AI governance because undetected hallucinations can lead to incorrect business decisions, regulatory violations, legal liability, and reputational damage. Organizations implement hallucination controls through techniques like output validation, retrieval-augmented generation, prompt engineering, fact-checking mechanisms, and confidence scoring to ensure AI systems provide reliable and trustworthy information for mission-critical applications.

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