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Who Will Define AI Literacy? The International AI Assessment Board launches a global initiative for standards, assessment, and case-based evidence
June 2025
As artificial intelligence rapidly transforms education, workforce development, and society at large, a fundamental question remains unresolved: who defines AI literacy?
The International AI Assessment Board (AAB) launches as an initiative dedicated to establishing AI literacy standards, assessment frameworks, and a case-based evidence system for education.
Despite the rapid proliferation of AI courses, tools, and programs worldwide, the field remains fragmented. Educators, institutions, and policymakers face a growing challenge: there is no widely accepted framework to define, measure, or validate AI literacy across K-12, higher education, adult learning, and workforce contexts.
A new evidence infrastructure for AI literacy
AAB positions AI literacy not as a collection of tools or courses, but as a form of foundational education infrastructure that requires clear standards, transparent assessment, and comparable real-world evidence.
At the core of AAB's approach is a case-based evidence system designed to collect, structure, and analyze AI education practices, from research studies to real-world pilots. This evidence base is intended to support careful standards development rather than unsupported claims about what AI literacy should mean.
AAB's work
- AI literacy standards: developing structured guidance that can define AI literacy across age groups, disciplines, and application contexts.
- Assessment and validation: designing ways to evaluate AI learning outcomes beyond traditional testing, including applied and project-based competencies.
- Case-based evidence: building a structured registry of AI education cases and pilot programs to support evidence-based decision-making.
A collaborative effort
AAB is designed as an independent, nonprofit-oriented initiative working with academic institutions, educators, researchers, schools, education systems, and industry partners. Its development is informed by global conversations around AI education, emerging international frameworks, and public policy discussions.
Call for participation
AAB invites academics, educators, researchers, institutions, and organizations to participate in its early-stage development.
- Contributing cases to the global registry
- Providing feedback on draft frameworks
- Joining academic and standards-review discussions
A defining moment
As AI becomes a universal layer across education and work, the need for shared definitions, trusted assessment, and evidence-based frameworks is becoming urgent. AAB aims to help shape that foundation.
Contact: info@aaboard.org