Artificial Intelligence Curriculum for Primary and Secondary Schools
AI in Computer Science in Secondary Schools
Bias
Card 03 – Machine Learning Deck
Bias
Artificial intelligence systems learn from data prepared by humans. Poorly prepared, unbalanced data or lack of data can cause the AI to be biased in some way. Students continue with the Alien Detective Agency activity.
Lesson Overview
Lesson Length
45 minutes
Recommended Age
Children aged 11–15
Tools
Teacher: Sets of alien family cards, projection equipment, presentation.
Students: Computer, laptop or tablet (OS doesn’t matter) for each student or group.
Building Blocks
Bias, dataset, machine learning.
What Are the Students Learning?
Machine learning systems can be biased. Bias can be reduced through model testing and dataset refinement.
Why Are They Learning This?
The goal of this lesson from the Machine Learning card set is: To critically evaluate decisions made by artificial intelligence systems.
How Do We Know They Have Learned It?
They will explain the concept of bias.
Bloom's Taxonomy
Understanding: Understand how insufficient or poorly representative data can lead to bias in AI models.
Application: Use the Teachable Machine tool to train and test a model, identifying cases of bias in the data.
Digital Competence
Communication and Collaboration.
Five Big Ideas
3-C-III Datasets (Bias)
