The Human–AI
Framework (HAIF).
Inspired by AI4K12 and UNESCO AICFS, HAIF has been contextualised for IB inquiry and global classrooms. It equips learners with early AI literacy through playful, unplugged activities that do not depend on devices.
Sensing & Signals
How humans and AI perceive. Exploring data collection and sensory input interpretation.
Patterns & Learning
Sorting, classification, and understanding the foundations of how machines 'learn'.
Knowledge & Logic
Decision trees and reasoning games that reveal the structure of computational logic.
Interaction & Dialogue
Addressing ambiguity, meaning in language, and the nuances of human-machine communication.
Values & Impact
Ethical reasoning regarding fairness, resource-sharing, and the societal cost of automation.
Innovation & Futures
Empowering students to imagine and build a future where AI serves the common good.
Pilot
Evidence-Based
Insights.
Our framework is continuously validated through pilot programs in leading IB schools. We collect evidence through student artefacts, reflection sheets, and teacher journals to ensure every activity creates meaningful impact.
8-10 engaging unplugged sessions per module
Contribution to global white papers on AI education
Evidence-based reporting for school leadership