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
This tutorial 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.
Privacy Pursuit: What is Privacy?
In this lesson, students draw connections between their existing concepts of privacy and how it applies to the internet and networked devices, then learn essential vocabulary relating to privacy. They then consider some scenarios in which children encounter privacy risks and draw on those to develop a list of “dos” and “don’ts” for using networked devices.
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 Privacy Dilemma
In this lesson students learn the ways that the apps they use are designed to encourage them to share more information—both with other users and with the apps themselves. They are then introduced to the idea of persuasive design or “dark patterns” and investigate whether these are used to make it more difficult to opt out of data collection on popular apps. Finally, the class creates a “rogues’ gallery” to help them identify dark patterns when they encounter them.