Designing Fair AI Rules
Design thinking applied to AI ethics: if you were designing an AI system, what rules would you give it? Who should it help? What should it not be allowed to do?
Lesson
Set out your lesson
“Designing Fair AI Rules means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.”
Bring to the table
- Two short recommendation cards or screenshot printouts
- Pencil for compare notes
Extra for the adult
Worked example. A feed keeps showing football because past clicks were football — that can hide other topics (filter bubble).
Optional challenge. For Designing Fair AI Rules, add one harder example after success.
What to notice. Keep one parent note: examples tried; results; support used. This session samples Designing Fair AI Rules, not mastery.
Share and support
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Teaching approaches
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1 approach
Designing Fair AI Rules means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.
Materials: Two short recommendation cards or screenshot printouts; Pencil for compare notes. 1. Say the goal of Designing Fair AI Rules in plain words once. 2. Adult shows one AI suggestion and asks what data might have caused it. 3. Child reviews three AI examples and names one input clue and one possible bias or limit each. 4. Fresh check: one fresh AI example with a limit. Record and stop. Done: three AI examples with an input clue and a limit note. Proof: parent note of examples and results. Stop: End after the fresh check; keep optional challenge for another day.
Family records and proof options
Keep a record of your learning
Save photos, notes, and attendance. Export a proof packet for compliance or portfolio reviews.
Practice this concept
Start practiceDesigning Fair AI Rules practice
Practice key ideas from Designing Fair AI Rules.
Free · no login · no ads · Practice answers and completion are not saved. Parent observation remains the lesson record.
Learning resources
Extra practice links — they do not replace Gakuva’s teaching approach.
Common Sense Education · Practice link — not the full lesson
Digital Citizenship Curriculum
Before you open · source notes
Digital Citizenship Curriculum supports Designing Fair AI Rules. An adult previews and guides; this is a learning page, not a scored quiz.
Free educational page, no sign-in required for the tested path.
Before you openAsk the learner one fact they learned and one question they still have.
Opening this link does not save learning or assess mastery.
Source, access and review notes
Public Common Sense Education page. An anonymous GET on 2026-11-12 returned HTTP 200 with no login or payment prompt for this URL. Opening the link does not save practice or assess mastery. An adult should preview and guide the learner.
Common Sense Education. “Digital Citizenship Curriculum.” External page; Gakuva does not copy, host, embed, or redistribute materials.
Unknown — link only
Check understanding
- Propose at least three rules for a hypothetical AI system they are designing
- Explain why AI designers need to think about who might be harmed, not just who benefits
- Describe one real example of AI being used responsibly and one where it was not
“If your child was designing an AI assistant for their school, could they think of rules to make sure it was fair and helpful for everyone?”
Curriculum record
- Type
- Conceptual
- Subject
- Computing
- Domain
- Artificial Intelligence
- Age range
- Ages 9–12
Standards