Artificial intelligence is becoming a routine part of enterprise decision-making, helping organizations analyze contracts, negotiate with suppliers, evaluate data, and support strategic planning. But as businesses place greater trust in AI-generated recommendations, a familiar problem remains unresolved: Large language models can present incorrect information with remarkable confidence.

Rather than producing obvious hallucinations, today’s AI models often generate plausible, well-written responses that make errors more difficult to recognize. For organizations relying on AI to inform important business decisions, distinguishing confidence…

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