Resources for Teachers - Privacy

What is AI?

This guide provides an overview of what AI is – and in particular Generative AI – and gives two examples of main AI tools you are likely to encounter. Then it explains some key ethical and social issues related to Generative AI.

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.

#ForYou: A Game About Algorithms Discussion Guide

The #ForYou  discussion guide includes a gameplay overview, instructions on how to run the game as a workshop, a pre-brief and debrief before and after each round of the gameplay to introduce and discuss key ideas about algorithms, rules for quickplay, and a glossary of key terms.

Privacy Pursuit: The Value of Privacy

In this lesson, students learn how their personal information is key to how most of the “free” apps and platforms they use make money. They learn practical strategies and tools for managing their privacy and plan how these can be used to limit what audiences have access to their personal information.

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.