"AAB Global AI Literacy Assessment and Credentialing Registry Dataset v1.0"
Abstract
"This dataset provides a structured registry of global AI literacy assessment, credentialing, certification, competition, and benchmarking initiatives collected and organized by the AI Assessment Board (AAB). It is designed to support comparative research, standards development, policy analysis, ecosystem mapping, and public-interest documentation of how AI literacy and AI education competencies are being assessed across different regions, learner groups, and institutional contexts.The dataset includes assessment and credentialing initiatives from testing organizations, international education bodies, government-related programs, nonprofit organizations, universities, AI education providers, competitions, olympiads, workforce training systems, and emerging AI literacy credentialing platforms. Examples of relevant initiative types include AI literacy assessments, student AI competency assessments, workforce AI skills assessments, teacher AI competency frameworks, AI education certificates, AI competitions, AI olympiads, digital and media literacy assessments with AI components, and AI-related credential pathways.Records may include assessment or credential name, issuing organization, country or region, organization type, target population, education level, assessment purpose, credential type, competency domains, AI literacy dimensions, delivery format, scoring model, credential outcome, public availability, evidence basis, source references, update status, and relevance to AI education standards development.This dataset does not include copyrighted test items, secure assessment content, raw student responses, personally identifiable learner information, private assessment records, or confidential institutional data. Inclusion of an assessment, credential, certification, competition, or benchmark in the dataset does not imply endorsement, certification, ranking, accreditation, partnership, or product recommendation by AAB. The purpose of the dataset is to preserve structured public evidence, support cross-context comparison, and contribute to future standards development in AI literacy assessment and credentialing."
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 17 May 2026
- Document type
- Dataset