What it is intended to do

Health professions and higher education institutions work within accreditation frameworks that increasingly expect AI competence but rarely say precisely what it means. ALiF is designed to supply that competency language while staying compatible with those frameworks. The concordance framework is planned as a research-based mapping of ALiF components to three accreditation frameworks: NCAAA, CAA and WFME.

With the mapping, an institution could show how its ALiF work contributes to accreditation requirements, and accreditors could see where ALiF fills gaps in their own standards.

How it relates to other concordance work

The Architecture Document plans a formal concordance between ALiF and the major accreditation frameworks, and separately a concordance with other competency frameworks such as DigComp, the UNESCO AI competency framework and the WFME standards. The practical tables for adopters are described under Framework Concordance Tables. This research item is the study that would underpin and test the accreditation mapping. The Standard Roadmap schedules validation of concordance tables with partner frameworks for 2027 to 2028.

Status

Planned. The Architecture Document had targeted the third quarter of 2026 for an accreditation concordance; it has not been published. Until it is, adopters who need to show alignment between ALiF and an accreditation standard can ask the ALiF core team for consultation support. Details will be published when the work begins.