Improve AI systems to address and promote human well-being and societal benefit.

What you learn at this level

• Learners recognise that AI systems can be designed or adjusted to better support individuals, communities and the environment.

• Learners discuss everyday challenges in their classroom or school, such as finding study resources or sharing information on time. They explore examples of AI tools and identify simple changes that could make these tools more helpful or inclusive, such as clearer instructions, age-appropriate outputs or options for different needs. Learners explain who would benefit from these improvements and why.

What you learn at this level

• Learners propose specific design changes to improve an AI system for themselves and others.

• Learners consider the use of an AI tool that would predict which library books are most in demand. They analyse how design choices around data sources, categories and recommendations influence what interests are represented. Learners suggest and plan concrete changes (e.g. adding user input, adjusting categories, including feedback loops) to improve variables like access, inclusion or usefulness. They identify features that ensure recommendations and interfaces are accessible and supportive for learners with different abilities or learning needs.

What you learn at this level

• Learners design and justify improvements to an AI system based on technical constraints, ethical considerations and user needs.

• Working in teams, learners design or modify a model that uses local environmental data to alert community members with asthma about health risks. They practise making deliberate design decisions about which data to include, how predictions are generated and how users receive alerts from the model. Learners test and refine their system using feedback to explain how their improvements better support human well-being and community trust.