Paper 1: Testimonial

Unit 7.7 - Understanding AI

What is AI and how does it actually learn? In this unit, you’ll explore how artificial intelligence and machine learning work and how they are used in everyday life.

You’ll also look at the challenges of AI, including bias, fairness and responsible use, helping you understand both the benefits and risks of these rapidly developing technologies.

Topic 1 - Introduction to Artificial Intelligence

1. What is AI?

● Recognise that AI is a tool that can solve a range of complex problems
● Outline some benefits and harms of using AI applications

Lesson & Task

Quiz

Topic 2 - Machine Learning

2. How Do Machines Learns

● Describe the difference between ‘data-driven’ and ‘rule-based’ approaches to application development
● Define the role of machine learning in creating models
● Describe the impact of data on the output of a machine learning (ML) model

Lesson & Task

Quiz

Topic 3 - Classification

3. Training AI to Classify Data

● Describe how supervised learning is used to create a classification model using classes and labelled data
● Explain how confidence scores are used in classification predictions

Lesson & Task

Quiz

Topic 4 - AI Bias

4. Bias In, Bias Out

● Describe the impact of data on the accuracy of a machine learning (ML) model
● Explain the need for both training and test data
● Explain how bias can influence the predictions generated by an ML model

Lesson & Task

Quiz

Assessment

6. End of unit assessment

Assessment

Reflection