Have you ever asked AI a question and received a detailed, confident answer that turned out to be completely wrong? That is called an 𝗔𝗜 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻. And I know I've covered this in a lesson inside the classroom, but it's one of those topics that I think is important to resurface as a reminder from time to time. Imagine asking someone to complete a jigsaw puzzle when several pieces are missing. Instead of leaving those spaces empty, they create new pieces that look as though they should fit. The colors match. The picture looks believable. Unless you know the original image, you may not notice that some of those pieces were invented. AI can do something similar. 𝗜𝘁 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝘀 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀 𝗯𝘆 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝘄𝗵𝗶𝗰𝗵 𝘄𝗼𝗿𝗱𝘀 𝗮𝗿𝗲 𝗺𝗼𝘀𝘁 𝗹𝗶𝗸𝗲𝗹𝘆 𝘁𝗼 𝗰𝗼𝗺𝗲 𝗻𝗲𝘅𝘁. This is why your review of what it produces is so important... because even though it sounds 100% confident it's right...It's not always. 𝗦𝗼...𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗿𝗲𝗱𝘂𝗰𝗲 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀? - Give AI reliable source material to work from - Ask it to browse and research the internet when you need current information - Request links to the original sources - Tell it not to guess when information cannot be verified - Check important claims yourself, especially health, legal, financial, or business information 🧪The next time AI gives you factual information, use this follow-up prompt: “𝘙𝘦𝘷𝘪𝘦𝘸 𝘺𝘰𝘶𝘳 𝘢𝘯𝘴𝘸𝘦𝘳 𝘢𝘯𝘥 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘺 𝘦𝘷𝘦𝘳𝘺 𝘧𝘢𝘤𝘵𝘶𝘢𝘭 𝘤𝘭𝘢𝘪𝘮 𝘵𝘩𝘢𝘵 𝘴𝘩𝘰𝘶𝘭𝘥 𝘣𝘦 𝘷𝘦𝘳𝘪𝘧𝘪𝘦𝘥. 𝘉𝘳𝘰𝘸𝘴𝘦 𝘧𝘰𝘳 𝘤𝘶𝘳𝘳𝘦𝘯𝘵, 𝘤𝘳𝘦𝘥𝘪𝘣𝘭𝘦 𝘴𝘰𝘶𝘳𝘤𝘦𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘷𝘪𝘥𝘦 𝘢 𝘥𝘪𝘳𝘦𝘤𝘵 𝘭𝘪𝘯𝘬 𝘴𝘶𝘱𝘱𝘰𝘳𝘵𝘪𝘯𝘨 𝘦𝘢𝘤𝘩 𝘤𝘭𝘢𝘪𝘮. 𝘊𝘭𝘦𝘢𝘳𝘭𝘺 𝘭𝘢𝘣𝘦𝘭 𝘢𝘯𝘺𝘵𝘩𝘪𝘯𝘨 𝘺𝘰𝘶 𝘤𝘢𝘯𝘯𝘰𝘵 𝘷𝘦𝘳𝘪𝘧𝘺. 𝘋𝘰 𝘯𝘰𝘵 𝘪𝘯𝘷𝘦𝘯𝘵 𝘢 𝘴𝘰𝘶𝘳𝘤𝘦, 𝘲𝘶𝘰𝘵𝘢𝘵𝘪𝘰𝘯, 𝘴𝘵𝘢𝘵𝘪𝘴𝘵𝘪𝘤, 𝘴𝘵𝘶𝘥𝘺, 𝘰𝘳 𝘭𝘪𝘯𝘬. 𝘐𝘧 𝘳𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘦𝘷𝘪𝘥𝘦𝘯𝘤𝘦 𝘪𝘴 𝘶𝘯𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦, 𝘴𝘢𝘺 𝘴𝘰.” When I do this, I open at least one of the sources myself to verify that it is actually pulling information correctly from the source.