Define AI hallucinations in LLMs for product managers

If you need to define AI hallucinations for your next feature, understanding why large language models make up facts is critical. AI hallucinations happen when models confidently fill training gaps instead of admitting ignorance. Think of a hallucination like the blind spot in your vision. Your brain paints over the gap based on surrounding patterns, and an LLM does the exact same thing with text. It maps the pattern, hits a knowledge gap, and predicts the next word. Unlike your brain, an AI cannot check the real world and only knows words, not facts. As a product manager, you cannot treat these confident fills as bugs. They are the model doing its job too well. You must build guardrails so the blind spot does not crash the user experience. In this lesson: - The blind spot metaphor for model behavior - Why models prioritize grammar over factual truth - Guardrails like cheat sheets and temperature tuning U2xAI Academy - AI skills for product managers.