Session 1 · DESIGN: Give Value
Data story day
- 15 minFinish your poster or slides: question, method, two charts, what you found, what you would do next.
- 25 minPresent to your audience: the principal, a bird group, a DOC ranger or a visiting class. Younger students play your 'AI or not?' card game.
- 10 minAsk your audience: what decision could this data help with, and what more would you need to know?
Session 2 · DESIGN: Navigate Constraints
Privacy, security and the data promise
- 15 minPrivacy makeover: check your shared files. Could anyone be identified? Who has access? Is anything shared more widely than it needs to be?
- 15 minSecurity basics: make a strong passphrase from four random words, and explain why it beats a short password.
- 15 minWrite the class data promise: what we collected, why, who can see it, how long we keep it, and when we delete it.
- 5 minReflect: when should a person, not an AI, make the final call with data? Write your answer on your AI suitability card.
Getting started
Use the data promise frame with five sentence starters.
Stretch
Compare your class data promise with one of the Privacy Act 2020 information privacy principles and suggest a change.
Checkpoint
A shared data story, audience feedback recorded, and a signed class data promise.
Activities for this week
- Privacy makeover: How do you share data so it helps people without harming anyone?
Useful this week
- Spyfish Aotearoa ↗ Count fish in real marine reserve videos and help train a conservation AI.
- Misinformation and fake news ↗ How to spot and stop false information before you share it.
- Protecting children and young people's privacy ↗ What the Privacy Act means for data about young people.
- Data sovereignty and the Kaitiakitanga Licence ↗ How a Māori organisation keeps control of te reo Māori data used to build AI.