“Generative AI” describes computer systems that create new content — text, images, audio, video or code — in response to a request. Chat assistants and image generators are the best-known examples. Understanding the basics helps you use them well and avoid their pitfalls.
How does it work, in simple terms?
Most text-based systems are built on large language models. They are trained on huge collections of text to learn patterns in language. When you type a question, the model predicts a helpful response one piece at a time based on those patterns. It is not looking up a single stored answer.
What it is good at
- Drafting and rewriting emails, outlines and summaries.
- Explaining concepts in simpler language.
- Brainstorming ideas and alternatives.
- Helping with code, spreadsheets and formulas.
- Translating and adjusting the tone of text.
Where you still need to be careful
Because models generate plausible-sounding text, they can state incorrect things confidently. They may also reflect biases in their training data or lack recent information.
Key takeaway
Treat generative AI as a capable assistant, not an authority. Verify facts, figures, quotes and legal, medical or financial information with reliable sources.
Privacy and responsible use
Read the privacy settings of any AI tool you use. Avoid pasting confidential business data or sensitive personal information unless your organisation has approved the tool for that purpose.
Frequently asked questions
Is generative AI the same as a search engine?
No. A search engine points you to existing web pages; a generative model composes a new answer. Some tools combine both, showing sources you can check.
Can I use AI-generated text in my work?
Often yes, but check your employer’s or publisher’s policies, review the output carefully, and take responsibility for accuracy.
