AI is already present in services many of us use. It can suggest a route, filter an unwanted message, recommend a film or help draft an email. You may use several AI features in a day without seeing the words “artificial intelligence” on the screen.

These features do different things. Some recognise patterns and make predictions; others generate text, images or speech. Looking at everyday examples will make those differences easier to understand.

Navigation and travel

A navigation app estimates how long a journey will take and may suggest another route when traffic changes. It uses information such as road conditions and journey times to make a prediction.

That prediction is useful, but it is still an estimate. An unexpected road closure or a sudden delay can change the result. This is a simple example of how AI can help you make a decision without making the decision for you.

Films, music and shopping

Streaming services suggest films, videos or music based partly on what you have watched or listened to before. Online shops may suggest products related to what you have viewed or bought.

A recommendation can help you find something you like. It can also be wrong, repetitive or shaped by what the service wants to show you. The system is predicting what might interest you; it does not know your tastes as a person would.

Phones and messages

Depending on your device and settings, AI may help turn speech into text, improve a photograph, translate a sentence or identify a possible spam message.

These features can be so familiar that they no longer feel new. They are also useful examples of AI working on a specific task: recognising speech, adjusting an image or looking for patterns associated with spam.

Banking and security

Banks can use automated systems, including AI, to flag transactions that appear unusual. For example, a payment that differs sharply from your normal activity might be checked.

A flagged payment does not necessarily mean fraud has occurred. The system has identified something worth examining, and further checks may be needed. This shows why an AI prediction should not always be treated as a final answer.

AI assistants

An AI assistant lets you interact with technology through ordinary language. You might ask it to explain a term, suggest ideas for a meal, draft an email or summarise a document.

This is different from a film recommendation or a fraud alert. A generative AI assistant creates a response to your request. You can ask a follow-up question, request a simpler explanation or tell it what you want changed.

Its answer may be useful, but it can still contain mistakes. Read it before you rely on it, particularly if the subject matters to your health, money, work or someone else’s wellbeing.

Try spotting AI today

Think about one app or service you have used today. Ask yourself:

• What did it help me do?
• Did it recognise something, make a prediction or create something new?
• Could I tell whether its result was correct?

You do not need to identify the technology behind every feature. The aim is to start noticing what the system is doing and where your own judgement comes in.

Key takeaway

AI appears in everyday tools in several forms. It can help recognise information, predict what might happen next or generate a new response. Those abilities can save time, but their results are not always accurate or useful.

In the next lesson, we will focus on ChatGPT: what happens when you type a question, why it can produce a convincing answer and why that answer sometimes needs checking.