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It is six in the evening. There are a few odd ingredients in the fridge, a message you have been putting off for days, and a weekend outing that still needs organising. Could artificial intelligence help you make a start on any of them? Quite often, yes. The useful skill is not knowing how the technology is built. It is knowing what to ask, what to check, and which decisions to keep for yourself. This lesson works through familiar, everyday situations. You will see where AI already turns up in your day, what a chatbot is really doing when it answers you, how to turn a vague request into a clear one, and how to spot an answer that sounds far better than it is. You do not need any technical knowledge or an AI account: every chatbot exchange shown here is an illustrative example, and each section ends with a short activity you can do with a pen and paper.
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Artificial intelligence, or AI, is a broad name for computer systems designed to do things such as recognise speech, find patterns, make predictions, or produce text. Many of them learn those patterns from large numbers of examples during a process called training, and then apply what they learned to information they have never seen before. You have almost certainly used some of these systems already, probably without thinking of them as AI. They also do very different jobs. The system that quietly moves a suspicious email into your spam folder cannot write you a birthday speech, and the one that suggests your next song has no idea how to translate a menu. AI is less a single thing than a collection of capabilities. Some AI creates new content, such as text, images, or audio. This is called generative AI, and it is the kind this lesson concentrates on: using a chatbot to help with ideas, explanations, and first drafts. It helps to keep three kinds of behaviour apart, because products often blend them and the difference is not always visible from the outside.
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A short set of questions on what you have just covered.
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