The Pillars of AI Governance
AI Core Principles for K-12 Schools
A practical, classroom-ready introduction to responsible AI for K-12 educators. Learn the five core principles of AI governance — fairness, transparency, accountability, data privacy, and student wellbeing — with real examples drawn directly from school life.
AI Fairness for K-12 Classrooms
Fairness means every student gets a fair chance — and AI tools used in schools should never disadvantage a child because of their background, language, or learning style. This pillar introduces K-12 educators to what AI bias is, how it shows up in schools, and what teachers can do about it.
Topics Covered
- What is AI bias? Simple examples from the classroom
- How AI tools can unintentionally favour some students over others
- Recognising unfair outcomes in grading and assessment tools
- Questions to ask before adopting a new AI tool in school
- Promoting fairness in AI-powered tutoring and feedback systems
- How to advocate for equitable AI on behalf of your students
Learning Outcomes
- 1
Identify one potential fairness concern in an AI tool your school uses
- 2
Ask the right questions when evaluating new EdTech for your classroom
- 3
Explain AI fairness to students and parents in simple terms
All 5 Pillars
Start Your AI Governance Journey
Perfect for classroom teachers, heads of year, and school coordinators ready to lead responsible AI in their K-12 school.