AI and Ethics resources
Computer Science, grade 12. Notes, worksheets, videos, interactive tools and revision materials for this chapter.
Notes
Study notes
The chapter's lessons are the notes — read them in order, then use the resources below.
01How Machine Learning WorksSee how models learn patterns from data instead of following coded rules.Read lesson →02Training DataUnderstand why the quality and quantity of data decides what AI learns.Read lesson →03Bias and FairnessExplore how biased data creates unfair AI — and how to fight it.Read lesson →04Using AI ResponsiblyWeigh up privacy, accountability and honest use of AI tools.Read lesson →
Worksheets
Practice worksheet
Attempt every question before revealing the answer — that struggle is where learning happens.
Practice questions live inside each lesson — work through them there, then return for revision.
Videos
Watch and learn
Hand-picked searches to find a clear video explanation of each lesson.
Revision
Revision checklist
Can you explain each of these out loud, without looking? If not, re-read that lesson.
- How Machine Learning Works: See how models learn patterns from data instead of following coded rules.
- Training Data: Understand why the quality and quantity of data decides what AI learns.
- Bias and Fairness: Explore how biased data creates unfair AI — and how to fight it.
- Using AI Responsibly: Weigh up privacy, accountability and honest use of AI tools.
- Read each lesson's summary and re-do its practice questions from memory.