Why concordance matters
Organizations that adopt ALiF rarely answer to ALiF alone. Health professions schools and hospitals work within accreditation standards, and governments within their own AI policies. These frameworks increasingly expect AI competence but seldom define it in detail. ALiF is designed to supply that competency language while fitting with the frameworks around it.
A concordance table shows the fit: for each ALiF component or sub-competency, where the related expectation sits in another framework, and where the two do not match.
What is planned
The Architecture Document and the Standard Roadmap plan concordance tables as a companion document, covering two kinds of framework:
- Other competency frameworks, such as DigComp, the UNESCO AI Competency Framework and emerging ISO/IEC standards on AI competencies. ALiF aims to work alongside these, not to compete with them.
- Accreditation and quality frameworks for medical and health professions education and for higher education, including international medical education standards and national accreditation requirements.
The Roadmap also plans to validate the tables against the partner frameworks as evidence builds.
UAE concordance note
The first output is planned for the ALiF 2.0 release: a note mapping ALiF 2.0 to the UAE policies and guidance that current adopters work under. It will show how the proposed ALiF 2.0 requirements, including the Learning Conditions Statement, relate to those texts. Only verified, current texts will be cited, and the note will be kept up to date in each review cycle.
Until the tables are published
Adopters who need to show how ALiF aligns with an accreditation standard or another framework can ask the core team for consultation support.
Status
Planned. Further details and publication dates will be announced when the work is scheduled.