New
New
Lesson 6 of 8
  • Year 10

Understanding image generators

I can identify ethical issues and biases in AI-generated images and create images using AI tools.

Lesson 6 of 8
New
New
  • Year 10

Understanding image generators

I can identify ethical issues and biases in AI-generated images and create images using AI tools.

These resources will be removed by end of Summer Term 2025.

Switch to our new teaching resources now - designed by teachers and leading subject experts, and tested in classrooms.

These resources were created for remote use during the pandemic and are not designed for classroom teaching.

Lesson details

Key learning points

  1. The quality and level of detail in a text prompt directly affect the accuracy and style of the generated image.
  2. When generating images with AI, it is important to consider ethics and fair representation.
  3. Adding details such as style, setting and mood in a prompt helps you control and refine image outputs.

Keywords

  • Image generator - an AI tool that produces pictures from a prompt using patterns it has identified in large collections of existing images

  • Style - the visual appearance of an image, such as realistic, cartoon, photographic or painted

  • Refine - to make small changes to something in order to improve its accuracy, quality or suitability

Common misconception

AI image generators create completely original artwork from scratch.

AI image generators create new images by learning from and combining patterns found in millions of existing images. They don’t “imagine” or invent things like a human artist; they remix data they were trained on.


To help you plan your year 10 computing lesson on: Understanding image generators, download all teaching resources for free and adapt to suit your pupils' needs...

Encourage students to look closely at AI-generated images for signs of bias or misrepresentation, such as missing diversity or inaccurate depictions of certain groups. Discuss how these issues can arise from the training data.
Teacher tip

Equipment

Licence

This content is © Oak National Academy Limited (2025), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).

Lesson video

Loading...

Prior knowledge starter quiz

Download quiz pdf

6 Questions

Q1.
What is important for making a machine learning model accurate?

using just a few examples
guessing the answers
using only test data
Correct answer: using large, representative data

Q2.
Why do we use test data in machine learning?

to confuse the computer
to make data bigger
Correct answer: to check how well the model works
to make the model forget

Q3.
What does it mean if data is unrepresentative?

Correct answer: It does not show the whole group.
It includes too many examples.
It is always fair.
It is very colourful.

Q4.
What is it called when a model gives everyone the same chance?

Correct Answer: fair

Q5.
Arrange these in the order they should happen:

1 - use training data
2 - use test data
3 - measure accuracy
4 - improve the model

Q6.
Match the word to its meaning:

Correct Answer:unrepresentative,does not show the whole group

does not show the whole group

Correct Answer:diverse,includes a wide range of examples

includes a wide range of examples

Correct Answer:fair,treats everyone equally

treats everyone equally

Correct Answer:bias,favouring one group over another

favouring one group over another

Assessment exit quiz

Download quiz pdf

6 Questions

Q1.
What do we call the instructions given to an image generator?

Correct Answer: prompt

Q2.
Match the word to its meaning:

Correct Answer:image generator,an AI tool that produces pictures from prompts

an AI tool that produces pictures from prompts

Correct Answer:refine,make small changes to improve

make small changes to improve

Correct Answer:style,the look or appearance of an image

the look or appearance of an image

Correct Answer:fair,treats everyone equally

treats everyone equally

Q3.
If an image generator only uses pictures of one group, what might happen?

Correct answer: The images could be biased.
The images are always fair.
The images are always colourful.
The images are always slow.

Q4.
Arrange these in the order they happen when checking for fairness in AI images:

1 - look at the image
2 - check for bias
3 - refine the prompt if needed
4 - share the image

Q5.
What makes an image generator’s pictures different from a human artist’s?

AI invents things from nothing.
AI paints with brushes.
Correct answer: AI uses patterns learnt from lots of images.
AI sings while drawing.

Q6.
What is the word for how an image looks, such as cartoon or realistic?

Correct Answer: style