Decompose a problem to determine when and how AI systems should be used to automate or augment tasks.

What you learn at this level

• Learners identify the type of problem at hand and consider whether AI might help solve it.

• Learners are given examples of different problems to identify (e.g. predicting the weather, comforting a friend, detecting plagiarism) and classify each as a type of problem (e.g. data-based, emotional, creative). As a class, they discuss whether AI could help solve the problem and if AI solutions are always necessary to accomplish a goal.

What you learn at this level

• Learners break a problem into component parts and consider ways AI might help with specific steps.

• Learners break down the steps to complete a complex research project and identify steps that AI could support (e.g. summarising primary sources and locating relevant commentaries). They work independently to verify claims, assess potential bias in AI outputs and develop their own arguments and interpretations.

What you learn at this level

• Learners deliberately assign tasks within a multi-step process based on appropriate human strengths and relevant AI capabilities.

• Learners are given a time-bound challenge to produce two versions of the same product, with and without AI. Before starting the AI-supported task, teams decide exactly which steps will rely on AI capabilities and which will depend on human strengths. After comparing outcomes, learners revise their task assignments and explain how changing human and AI roles affected the quality, trustworthiness and purpose of the final product.