Examine how predictive AI systems provide recommendations that can inform or limit perspectives.

What you learn at this level

• Learners know that AI can use data about a user to provide recommendations or predictions for them.

• Learners make a list of movie and television recommendations for a favourite book character, justifying their choices with textual evidence. As a class, they share their lists and discuss their knowledge of the characters, then compare the process to the ways AI generates recommendations.

What you learn at this level

• Learners consider when AI-generated recommendations might be helpful to them or when they may seem too narrow and too general.

• Learners compare a music app’s recommendations to a list of their own favourite songs and artists, then discuss when the algorithms reinforced existing preferences or introduced them to new genres.

What you learn at this level

• Learners weigh the benefits and drawbacks of AI systems using data to shape access to information and consider how this might influence worldviews, ideas or behaviours.

• Learners review case studies of how social media recommendation systems have affected public understanding of an issue, then discuss how this might impact individuals’ voting behaviours.