What it is
The ALiF Nexus Platform is the shared infrastructure through which ALiF programs are delivered and ALiF instruments are administered. It is a core part of the ecosystem, and its public site is at alifnexus.app.
ALiF does not require any particular platform. The Institutional Adoption Guide notes that an existing learning management system, a video platform with quizzes, or a facilitated program with attendance records can all serve for delivery. The Nexus Platform brings these functions together for organizations that want them in one place.
Functions
Delivery. Hosting program content, role tracks and cohorts, for example the AI Launchpad Course and the foundation program.
Self-assessment. Administering the ALiF-SAQ, scoring it, and producing a profile for each respondent, usually within a day. Coordinators can export results for debriefing and pathway planning.
Assessment workflow. Routing performance tasks and capstones to qualified assessors, recording ratings, and supporting reviews by two assessors where a program requires them.
Competency gating. Opening the next part of a program only when the required evidence exists. The main example is the data literacy gate: evaluation modules open only after DAT.1 and DAT.2 tasks have been rated as demonstrated.
Profiles and tracking. Keeping each learner’s record across programs, including their own reflections, so they can see how they have developed. Completion is tracked for certificates and for aggregate reporting.
Institutional and research data. Producing aggregate, de-identified institutional profiles, and managing research datasets where participants have consented.
Rules for using the data
The platform must support the ALiF 2.0 conformance requirements on how results are used:
- Gating uses demonstrated evidence only. Progression inside programs depends on assessed performance tasks, not on self-assessment scores.
- Self-assessment results stay developmental. They go to the respondent and into aggregate planning. They are not used in hiring, progression, pay, discipline, clinical privileges or placement decisions, and the platform should show the disclosure that they are not validated for such decisions.
- AI-use data and participation records collected for AI literacy purposes are not used in decisions about individuals, apart from a record that training was completed.
- Reflections are private unless the learner chooses to share them.
Organizations remain responsible for how they use platform reports. The Institutional Adoption Guide asks them to assign, before launch, who decides how results may and may not be used.
Versioning and alignment
Programs delivered on the platform follow the ALiF Program Versioning and Review Policy. The platform is updated as programs and instruments change, and must support the ALiF 2.0 requirements when they take effect.