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

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

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

Understanding image generators

Computing

AI in our world today

Uses of predictive and generative AI

Chatbot applications and other LLMs

Getting the most out of an LLM

Bias and accuracy in machine learning

Deepfakes and trust

Risk mitigation of AI

In this unit, pupils will explore how data science and AI tools are having an impact on our daily lives. They will develop an understanding of how to use these tools effectively as well as an awareness of the issues relating to trust, bias and misinformation.

Using data science and AI tools effectively and safely

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

an AI tool that produces pictures from prompts

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

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

AI uses patterns learnt from lots of images.

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

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

What is important for making a machine learning model accurate?

Why do we use test data in machine learning?

What does it mean if data is unrepresentative?

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

Arrange these in the order they should happen:

This lesson will be removed by end of Summer Term 2025.

Understanding image generators

Lesson outcome

This lesson will be removed by end of Summer Term 2025.