AI literacy means understanding a system well enough to question its output.
Young people need more than prompt tricks. They need a working model of data, models, uncertainty, evaluation, attribution, privacy and the decisions that should remain human.
The programme page turns this literacy model into project questions and evidence.Understand, direct, question and create
A practical literacy sequence begins by identifying the system and task, giving clear direction, testing the response against evidence, and deciding whether AI belongs in the final process.
- 01Understand what goes into and comes out of the system
- 02Direct the task with context and constraints
- 03Question accuracy, omissions, bias and confidence
- 04Create with traceable human choices and revision
Generated fluency is not evidence
An answer can sound coherent while being incomplete, false or poorly sourced. Learners should verify important claims with suitable primary sources and explain what checking changed.
- 01Break a response into claims that can be tested
- 02Distinguish a quotation, summary, inference and invention
- 03Record sources and avoid fabricated citations
Protect data before asking the model
Do not place personal, confidential or identifying information into an AI service without a justified purpose, appropriate permission and an understanding of current provider settings.
- 01Use fictional or minimised data for practice
- 02Treat faces, voices, locations and school information as sensitive
- 03Ask an adult or responsible lead when the boundary is unclear
Keep consequential decisions human
AI may support exploration, comparison or drafting, but safety, wellbeing, assessment and other consequential decisions require accountable human review. The level of review should rise with the risk.
- 01State when and how AI contributed
- 02Check outputs for harm, exclusion and unsupported certainty
- 03Provide a non-AI route where appropriate
Explore the AI learning direction
The programme page turns this literacy model into project questions and evidence.