AI hallucinations explained to non-technical executives

When leadership asks why your product made up facts, you must explain AI hallucinations without using confusing jargon. This lesson gives product managers a clear framework to communicate model flaws to executives. We use a simple GPS metaphor to show how large language models predict words instead of referencing a hard map of facts. Like an overly confident navigation app routing you into a lake, generative models guess the next word with total authority even when lacking real context. You cannot eliminate this behavior entirely, but you can mitigate the risk. We cover practical strategies to keep your product on track, including feeding real company documents into the model and implementing confidence guardrails to block unreliable outputs. In this lesson: - The GPS metaphor for explaining model behavior - Why language models predict words instead of knowing facts - Using retrieval augmented generation to add a factual map - Building guardrails to block low confidence answers U2xAI Academy - AI skills for product managers.