"AAB AI Literacy Framework Crosswalk Dataset v1.0"
Abstract
"This dataset provides a structured crosswalk of AI literacy and AI education frameworks, standards, principles, competency models, and policy references relevant to the development of evidence-informed AI education standards. The dataset is developed by the AI Assessment Board (AAB) to support standards development, comparative framework analysis, curriculum alignment, policy research, and public-interest documentation.The crosswalk may include mappings among AAB framework elements, AI literacy domains, K\u201312 AI education concepts, teacher competency areas, student competency areas, responsible AI principles, risk and governance concepts, implementation considerations, and references from international or national AI education and AI governance frameworks.Records may include framework name, issuing organization, region, target audience, competency area, AI education concept, governance principle, learning outcome, related AAB category, alignment notes, evidence relevance, and source reference. The dataset is intended to help researchers, educators, policymakers, and standards developers compare how AI literacy is defined and operationalized across different frameworks.This dataset does not imply that AAB has adopted, endorsed, or formally approved all referenced frameworks. Inclusion of a framework or mapping does not imply endorsement, certification, ranking, accreditation, or product recommendation by AAB. The purpose is to support transparent comparison, standards alignment, and structured development of AI education evidence frameworks."
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 16 May 2026
- Document type
- Dataset