The 60-second guide to hallucinations in AI

AI is powerful—but sometimes it makes things up. These moments are called hallucinations, and they happen more often than people think.
A hallucination is when an AI gives an answer that sounds confident but isn’t true. It’s not lying—it just fills in gaps when it’s unsure.
  • AI predicts, it doesn’t “know”: Models guess the next best word, which can lead to confident‑sounding mistakes.
  • They happen when data is missing: If the AI hasn’t seen real info on a topic, it may invent something plausible.
  • Prompts matter: Vague or overly broad questions increase the odds of an incorrect answer.
  • Grounding fixes it: Connecting AI to real documents, like with RAG, gives it facts to pull from instead of guessing.
  • Always double‑check: Treat AI like a smart assistant—not an unquestioned source of truth.
Example: Ask an AI about a made‑up company policy, and it might confidently give you a detailed—but incorrect—answer.
Bottom line: AI is brilliant, but it still needs guardrails—and a quick human sanity check.

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