Computer Science

the ability to “learn” and adapt to new situations

putting something to use, or a thing that is being used for a specific purpose

Introduction to AI

Machine learning

Predictive vs generative AI

Social and ethical issues of AI systems

Data driven models

Approaches to training machine learning models

Classification

Machine learning engines

This unit introduces pupils to the emerging field of data science. They will explore what AI systems are and the different categories of AI. The concept of machine learning and how models are driven by data will be explored. They will also consider the ethical and wider implications of AI systems.

Data science: AI and machine learning

machines that perform tasks using data and rules

online calendar that suggests meeting times

photo gallery that organises images by date

voice assistant that responds to spoken questions

Which of these is most widely recognised as a direct application of AI technology designed for interactive communication?

Arrange these steps for a chatbot helping a customer:

It follows programmed rules and uses data.

Which statement best describes how AI systems operate?

Why do AI systems often improve over time?

an online assistant that answers customer questions

Which of these is an example of a chatbot application?

How do doctors use computers to help diagnose illnesses?

Which device helps you find your current location and directions?

Arrange the following steps for using GPS to get to a new place:

to allow customers to scan and pay for items themselves

Why might a supermarket use self-checkout machines?

Match the professional to the technology they might use:

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

Introduction to AI

Lesson outcome

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