2. AI & Machine Learning

The unit is a mixture of theoretical aspects of AI with practical application of these ideas in the second half of the unit. Practical aspects of the unit are given in Scratch. Whilst the programs given to you make use of advanced features of Scratch, such as new Blocks (subroutines) and lists, tasks have been written to be accessible and will build upon what you have already covered.

The unit first looks at what AI is and the history and developments behind it. It then moves onto machine learning, which is used in more modern AI applications today. Ethics of AI are covered with you being able to consider a number of different areas of ethical concern. You will then apply theory to knowledge with three projects. First an image detection program is considered that can identify shapes. A chatbot is then adapted to serve customers in an online shop. Finally, a program that can create a rating on a text review is considered. These same techniques could be used to identify fake reviews on a website.

1. What is AI?

Understand the origin and uses of AI
Understand how rules are used in AI decision making
Investigate the rules needed to solve problems including:
- Classification
- Navigation of a maze or road

LESSON PRESENTATION

2. Machine learning

Understand the difference between facts and rules
Describe uses of machine learning
Use training data to create rules that solve problems of categorising data
Discuss the strengths and weaknesses of machine learning

LESSON PRESENTATION WATCH THIS LESSONLESSON ACTIVITIES HELP VIDEO

3. Ethics of AI

Understand what ethics is
- Consider some simple ethical hypothetical problems
- Understand and discuss ethical issues as they relate to AI
Understand how jobs can be affected by AI and automation
Understand how bias can be introduced into AI algorithms and machine learning

LESSON PRESENTATION WATCH THIS LESSONLESSON ACTIVITIES HELP VIDEO

4. Image recognition

Understand issues that make facial recognition difficult
Understand how images are stored as binary data
Describe a technique for detecting patterns in a grid of pixels
Review program code and adapt it to detect given shapes

LESSON PRESENTATIONWATCH THIS LESSONLESSON ACTIVITIES HELP VIDEOFile: ShapeScanner1.sb3

5. Turing tests and chatbots

Understand how intelligence can be measured in humans and computers
Know what the Turing test is and how it works
Understand why interpreting patterns is not as useful a skill as ‘thinking’
Program a chatbot

LESSON PRESENTATIONWATCH THIS LESSONLESSON ACTIVITIES HELP VIDEOLink: Chatbot1.sb3

6. Rate my review

Understand the analysis of text to rate an attitude or opinion
Describe the opportunities and problems of using AI for sentiment analysis
Review the program and identify areas for improvement

LESSON PRESENTATIONWATCH THIS LESSONLESSON ACTIVITIES HELP VIDEOLink: RateMyReview.sb3

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