How do I know if the information an AI gives me is actually true?
You know if AI information is true by treating its output as a confident first draft from a well-read friend who sometimes gets details wrong, meaning you must verify any factual claim, statistic, or quote against a reliable source before relying on it. AI models are designed to generate plausible-sounding text, not to retrieve facts from a perfect database. They can hallucinateāa term that means they confidently invent things, like a fake court case citation or a historical date that's off by a century. For example, if you ask for a summary of a specific 2025 Gartner report, the AI might give you a beautifully structured answer with a statistic that sounds right but was never actually published. A good habit is to ask the AI, 'Can you provide a source or link for that statistic?' Sometimes it can, which is helpful. But if it can't, or if the source sounds vague, you need to do a quick web search yourself. Think of it like getting directions from a local who's lived in town for two weeks instead of two decadesāmostly right, but you'd still double-check the turn before driving into a lake. This verification step is what separates casual experimenting from using AI for anything that matters, like work presentations or health advice. **Related**: What does 'AI hallucination' mean? | Can teachers detect if I used AI for my homework?