Using Generative AI

What this topic covers

Generative AI that writes text, answers questions and draws pictures has become about as common as a search box. Plenty of people use it, yet very little explains how to use it safely and well. This topic is not a manual for any particular service. It covers the principles and habits that hold no matter which tool you open, split into seven guides. Menus and feature names change every few months, but the way these tools produce answers, and the weaknesses that follow from it, change far more slowly.

• How it works: why plausible wrong answers appear
• Asking well: context, goal, format
• Checking: what to verify and how
• Security: what never to paste in
• Study and work: help versus ghostwriting
• Images and copyright: a question still being settled
• Scams and deepfakes: verification habits that hold up

The core idea: it continues text, it does not look things up

A conversational AI learns from an enormous amount of writing and builds its answer one small piece at a time, choosing what is likely to come next. It is closer to a machine that imitates the shape of sentences than to a dictionary that retrieves facts. That is why the prose comes out smooth and confident while its accuracy is a separate question. Keep that one point in mind and every other caution makes sense: invented sources, wrong numbers and ignorance of recent events all come from here.

Where it fits and where it does not

It helps most with tasks whose results you can judge on the spot: drafting, polishing sentences, summarising long documents, brainstorming, and turning a hard concept into plain language. It should not be trusted as-is for exact figures, legal, medical or tax judgements, recent events, or facts about specific people, where a mistake costs you and you cannot easily tell whether it is right. The rule is simple. Use it where you can review the output yourself, and elsewhere treat it only as a starting point.

Reading order

If you are new, start with the first guide on how it works and where it fails. Then read the guides on asking and on checking answers, and you will have the basics for everyday use. If you plan to use it at work or school, read the privacy and study guides; if you intend to post or sell images you generate, read the copyright guide. The final guide on scams and deepfakes is useful even for relatives who never touch AI, so it is written to be shared on its own.

Common misconceptions

The more familiar a tool becomes, the easier it is to trust it too much. These are misunderstandings that come up again and again. None of them is a defect of one service; each follows from how the technology works.

• It sounds sure, so it is right: tone and accuracy are unrelated
• It cites sources, so it can be trusted: it can invent the sources
• It knows the whole internet: it may know nothing after its training date
• AI detectors can catch ghostwriting: detectors are often wrong too
• My chats are private: they may be stored and reviewed

Habits that outlast any tool

You do not need to relearn everything each time a new service appears. Say specifically what you want, confirm anything important elsewhere, keep out information others must not see, and before publishing a result under your name, ask whether you can stand behind it. Those four habits work in every tool. Building them first saves far more time in the long run than memorising feature lists.

Caution: the rules are still moving

Rules on copyright, personal data and disclosure around AI differ by country and are still changing. These guides focus on principles and on how to check, and they avoid stating as settled what is not settled. If you are signing a contract, selling work or writing a company policy, go to the latest official guidance from the relevant authority and have a professional confirm it. This is not legal advice.

The seven guides in this topic

Each guide can be read on its own, and read in order they move naturally from how the technology works, to using it, to managing the risks.

• What generative AI does and where it fails
• How to write a good prompt
• Checking AI answers
• Keeping personal and company data out
• Using AI for study and work without plagiarism
• AI images and copyright
• Spotting AI scams and deepfakes