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.

Managing media with teens

While they’re not going through as much development as tweens, moving to high school at the beginning of this stage – and moving out of it at the end – can be stressful.

Managing media with tweens (10-13 years old)

Helping Kids Build Safe and Smart Digital Habits

There are four main strategies to help kids become resilient to online risks. We can:

Curate our kids’ media experiences;

Control who can access our kids and their data;

Co-view media with our kids;

and be our kids’ media Coaches.

Managing media in middle childhood (6-9 years old)

Helping Kids Build Safe and Smart Digital Habits

Parents can focus on helping kids this age explore safely by choosing high-quality experiences, setting clear boundaries, and teaching them how to recognize when something feels off.

There are four main strategies to help kids become resilient to online risks. We can:

Curate our kids’ media experiences;

Control who can access our kids and their data;

Co-view media with our kids;

and be our kids’ media Coaches.

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

Privacy impacts of advertising and marketing

One of the oldest adages in marketing is “Half the money I spend on advertising is wasted, but I don’t know which half.” It’s as important for advertisers to reach the right people as it is to make an appealing ad, so they have developed many different ways of targeting ads effectively. Online advertising lets marketers match different ads with individual users. This section looks at how that’s done and how it affects kids’ privacy.

How to Train Your Algorithm

In this lesson, students will learn about algorithms and how they function, particularly recommendation algorithms utilized by popular apps like YouTube, TikTok, Instagram, and Netflix. Students explore the role of optimization goals such as watch time, engagement, and daily active use in shaping the content algorithms prioritize. Through activities like “red teaming,” students will critically analyze the potential downsides and biases of these optimization goals. Students will also discover how to train algorithms by providing both explicit inputs through actions like liking and sharing, and understand the implications of implicit inputs gathered from their online activity. Finally, students design their own algorithm for an app of their choice, identifying which goals it should be optimized for and how they should be weighted as well as what inputs it should use.