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.
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.
Addressing AI in the Classroom: Tips for Teachers
Teachers can play a critical role in educating their students about AI, even if they aren’t experts on it. By addressing AI in ways that are designed to build students’ skills and teach them about the pitfalls of relying too much on it, teachers can help build the next generation of citizens who are empowered with the skills necessary to succeed in a world infused with AI technology.
#ForYou: The Algorithm Game
In this lesson, students play the educational card game #ForYou: A Game About Algorithms and use it as a prompt to learn about and discuss the role that algorithms, data collection, and machine learning play in their lives. After playing, they analyze the game as an example of a serious game and then design their own serious game to communicate some of what they have learned in the lesson.
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.