Society & AI
Research & Commentary Academy Advisors About Search
Module 3 Ages 9-12

Fairness Basics Mini Challenge

Explore fairness basics and design one improvement for a classroom AI use case.

Core Idea

Fairness is not automatic. AI systems need intentional review so tools serve all learners responsibly.

Skills to Build

  • Identifying who benefits and who may be excluded
  • Asking fairness-focused questions
  • Proposing practical improvements

Mini Challenge

Choose one classroom AI use case (feedback, tutoring, or translation) and answer:

  • Who might be helped most?
  • Who might be left out?
  • What single change would make it fairer?

Module Assessment

Complete this short check to verify understanding. Your result is saved in this browser and can be used for future certificate workflows.

Questions: 4 Passing score: 70%
1. An unfair AI outcome means:

Fairness focuses on equitable treatment and impact.

2. One way to improve fairness is to:

Diverse testing reveals uneven performance.

3. Who should be included in fairness discussions?

Multiple perspectives improve decisions.

4. A fairness mini challenge should end with:

Action turns awareness into better practice.

Related Resources

Continue to Ages 13-17

Move into media literacy, integrity, and civic AI debate.

Replay This Pathway

Return to all ages 9-12 modules.