Curriculum fit: KS3 and GCSE Computing (the National Curriculum computing programmes of study cover algorithms, data and responsible use of technology). US: no US standards source is linked here: check your school's computer science curriculum.
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What Is It?
Artificial intelligence (AI) is software that performs tasks that normally need human intelligence, such as recognising images or understanding language. Most modern AI uses machine learning, where a program finds patterns in many examples instead of following rules written by a programmer.
A large language model (LLM) is a type of AI trained on huge amounts of text to predict what comes next, one small piece of text (a token) at a time. This lets it write, summarise and answer questions, but it does not guarantee that what it says is true.
Key Formulas and Ideas
- Training: the model learns patterns from example data. The result is called the model.
- Inference: using the trained model on new input.
- Supervised learning uses labelled examples (for instance emails marked 'spam' or 'not spam').
- Limits: AI can make errors, called hallucinations, and can reflect bias in its training data.
Worked Examples
Spam Filter
Explain how a spam filter could use machine learning.
- Collect many emails already labelled spam or not spam.
- Train a model to find patterns in the wording and senders.
- Use the model to label new emails.
✓ Answer It learns patterns from labelled examples and applies them to new emails
Why Check AI Answers?
A chatbot gives a confident answer with a made-up reference. What has happened and what should you do?
- The model predicts plausible text, so it may produce false details (a hallucination).
- Check the claim and source using reliable references.
✓ Answer It is a hallucination, so verify the information elsewhere
Bias
How could bias enter an AI system?
- Training data may not represent everyone fairly.
- The model can then perform worse for some groups.
✓ Answer Unrepresentative training data can lead to unfair results
Common Mistakes to Avoid
- Treating AI output as always correct.
- Thinking AI 'understands' like a person.
- Submitting AI-written work as your own when your school forbids it.
- Sharing personal information with an AI tool.
Practice Questions
Frequently Asked Questions
Does AI understand like a person?
It finds statistical patterns in data. Whether that counts as understanding is debated, but it can be wrong in ways a person would not be, so always verify.
Can I use AI for homework?
Follow your teacher's and school's rules. Using it to explain a topic is different from handing in its work as your own.
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Reviewed by StudyMorrow editorial review on 5 Nov 2026.