Monitor and evaluate AI use throughout a problem-solving process.

What you learn at this level

• Learners recognise that they should make decisions about AI use that support accountability, learning and fairness.

• Learners explore examples of AI tool use across industries (e.g. sports, journalism, music) to determine if there are tasks where AI use might be advantageous and when a human should play a more active role.

What you learn at this level

• Learners compare AI outputs to desired results and know when to redirect AI systems or improve outputs themselves.

• Learners watch short videos of self-driving cars navigating different driving situations. As a class, learners compare how a human might make a different decision than a self-driving car and discuss when human judgement should override the algorithm.

What you learn at this level

• Learners establish checkpoints based on human and AI roles, monitor progress against success criteria and adjust roles accordingly.

• Learners work in teams to create a public awareness campaign about a local issue (e.g. reducing food waste, designing safe bicycle routes). They use AI tools to generate messages or visuals, but pause to compare outputs with audience needs and project goals. When AI-generated content is misleading or off-target, learners adjust roles or workflows to produce an accurate and authentic message.