Understanding image generators
Lesson details
Learning outcome
I can identify ethical issues and biases in AI-generated images and create images using AI tools.
Key learning points
- The quality and level of detail in a text prompt directly affect the accuracy and style of the generated image.
- When generating images with AI, it is important to consider ethics and fair representation.
- 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.
Teacher tip
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.
Licence
Lesson video
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Prior knowledge starter quiz
6 Questions
Q1.What is important for making a machine learning model accurate?
Q2.Why do we use test data in machine learning?
Q3.What does it mean if data is unrepresentative?
Q4.What is it called when a model gives everyone the same chance?
Q5.Arrange these in the order they should happen:
Q6.Match the word to its meaning:
does not show the whole group
includes a wide range of examples
treats everyone equally
favouring one group over another
Assessment exit quiz
6 Questions
Q1.What do we call the instructions given to an image generator?
Q2.Match the word to its meaning:
an AI tool that produces pictures from prompts
make small changes to improve
the look or appearance of an image
treats everyone equally
Q3.If an image generator only uses pictures of one group, what might happen?
Q4.Arrange these in the order they happen when checking for fairness in AI images:
Q5.What makes an image generator’s pictures different from a human artist’s?
Q6.What is the word for how an image looks, such as cartoon or realistic?
To help you plan your 10 computing lesson on: Understanding image generators, download all teaching resources for free and adapt to suit your pupils' needs...
To help you plan your 10 computing lesson on: Understanding image generators, download all teaching resources for free and adapt to suit your pupils' needs.
The starter quiz will activate and check your pupils' prior knowledge, with versions available both with and without answers in PDF format.
We use learning cycles to break down learning into key concepts or ideas linked to the learning outcome. Each learning cycle features explanations with checks for understanding and practice tasks with feedback. All of this is found in our slide decks, ready for you to download and edit. The practice tasks are also available as printable worksheets and some lessons have additional materials with extra material you might need for teaching the lesson.
The assessment exit quiz will test your pupils' understanding of the key learning points.
Our video is a tool for planning, showing how other teachers might teach the lesson, offering helpful tips, modelled explanations and inspiration for your own delivery in the classroom. Plus, you can set it as homework or revision for pupils and keep their learning on track by sharing an online pupil version of this lesson.
Explore more key stage 4 computing lessons from the Using data science and AI tools effectively and safely unit, dive into the full secondary computing curriculum, or learn more about lesson planning.