
Data Defenders (Grades 4-6)
Data Defenders is an interactive game that teaches children and pre-teens the concept of personal information and its economic value, and introduces them to ways to manage and protect their personal information on the websites and apps they enjoy

Young Canadians Speak Out: A Qualitative Research Report on Privacy and Consent
Informed Youth Promote Clarity for All
It’s something we’ve all done before: scrolled past a wall of text to click “I Agree” with no idea what we’ve agreed to. Then, when we’re using the platform, messages like “We’ve made some changes to our Terms and Conditions” simply remind us that we probably didn’t read them in the first place. Our world is becoming more and more influenced by the data that’s being collected about us. For young people in particular, this can lead to serious and unexpected consequences that could affect their entire lives.

Privacy Pirates Guide
Background information for parents and teachers for Privacy Pirates: An Interactive Unit on Online Privacy which introduces children, ages 7-9, to the concept of online privacy and teaches them to distinguish between information that is appropriate to give out and information better kept private – and to recognize how this may change in different contexts.

Unpacking the Black Box: Explaining Algorithms and AI
In this lesson, students learn about algorithms and AI, how they work, how they impact our lives on the internet, and ethical considerations. The lesson begins with a class discussion on algorithms. Students will discuss how AIs reinforce real-world biases, the difficulties in identifying how AIs make decisions, what information algorithms use to make choices, and how that information impacts the types of decisions AIs make. Finally, students will demonstrate their knowledge by researching and designing an infographic on a field that uses algorithms to make decisions. This lesson aims to build critical thinking skills by examining how AI algorithms work, investigating the biases and impacts of AI decision-making, and reflecting on how the implications to their own lives.
The Invisible Machine: Big Data and You
In this lesson, students examine a fictional social network profile to learn how online platforms collect data about their users. They then read an article that explains how platforms use this data and explores some of the issues this raises. Finally, they create a mind map of their own online data profile and reflect on how the data they post may be collected and used by others.