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.
Online Marketing to Kids: Protecting Your Privacy
This lesson introduces students to the ways in which commercial apps and websites collect personal information from kids and to the issues surrounding children and privacy on the Internet. Students begin by considering how comfortable they would be with people knowing various things about them, and then watch and discuss a video which explains how targeted advertising works. They then explore the idea of targeted advertising through a class exercise in which Prince Charming tries to target Cinderella with an ad for glass slippers, and then analyze how their own personal information might be used to target them with ads. In the second part of the lesson, students are introduced to privacy policies and how they are rated by the website Terms of Service, Didn’t Read. They read and analyze the site’s rating for a popular app and then learn ways to limit data collection. In an extension activity, students are introduced to the idea of “dark patterns” and imagine how the Wicked Queen might use them to convince Snow White to accept “poison” cookies.
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.