← All domains
Domain 04 · Domains 1–4
Student AI Literacy, Career Readiness & Workforce
Institution- and program-level student outcomes for AI literacy, employability, and career readiness.
Key AI risks
▹Graduates entering the workforce without expected AI competencies
▹Program content misaligned with fast-moving employer needs
▹Unequal access to AI-literacy opportunities across students
▹Credential inflation without portable, recognized outcomes
Governed through the RMF Playbook
Each function pairs the outcome to reach for this domain (the Playbook's About) with the Playbook's suggested actions.
Govern
Commit the institution to AI literacy as an expected student outcome, with clear ownership for delivering it.
Playbook · suggested actions
Adopt an AI-literacy requirement with a named owner for delivering it.
Map
Define the competencies students need and locate where programs do — and do not — build them.
Playbook · suggested actions
Define target competencies and map program coverage and the gaps.
Measure
Judge whether students actually reach those competencies and whether they match what employers expect.
Playbook · suggested actions
Assess outcomes and benchmark against employer and external frameworks.
Manage
Evolve curriculum, partnerships, and credentials so literacy keeps pace with a fast-moving field.
Playbook · suggested actions
Update curriculum and credentials with employer advisory input.
Worked case studies · the RMF Playbook applied
10 scenarios
Each step is a Playbook suggested action for that function; the evidence line is the transparency & documentation you keep.
A program-wide AI-literacy outcome
College of Business · program review
A business program wants every graduate to leave with demonstrable, employer-recognized AI literacy.
Govern
Adopt an AI-literacy requirements policy at the program level.
Map
Define the target competencies, map where they are taught, and identify gaps against employer expectations.
Measure
Assess student outcomes and benchmark them against an external AI-literacy framework.
Manage
Add a rapid-update curriculum pathway, an employer advisory board, and a micro-credential.
Outcome — Graduates earn a portable AI-literacy credential and employer surveys confirm readiness.
Evidence: Outcomes-assessment report + micro-credential rubric
Embedding AI literacy in general education
Provost · gen-ed reform
The institution wants every student — not just majors — to reach baseline AI literacy.
Govern
Adopt AI literacy as a general-education outcome with a named owner.
Map
Define baseline competencies and map which gen-ed courses can carry them.
Measure
Assess the outcome in sampled courses across colleges.
Manage
Support faculty with shared modules and review coverage annually.
Outcome — Every graduate meets a common AI-literacy baseline regardless of major.
Evidence: Gen-ed outcome map + assessment sample
Library AI-literacy workshops
University Library · information literacy
The library extends information-literacy instruction to cover evaluating and citing AI.
Govern
Recognize the library as a named contributor to AI literacy.
Map
Identify the AI-evaluation skills that build on information literacy.
Measure
Assess workshop learning gains and reach across programs.
Manage
Scale the workshops and refresh content as tools evolve.
Outcome — Students can critically evaluate and cite AI, extending information literacy.
Evidence: Workshop assessment + reach report
Employer-aligned skills in a workforce certificate
Continuing Education · workforce cert
A workforce certificate must teach the AI skills local employers actually hire for.
Govern
Adopt industry-aligned AI skills as a program requirement.
Map
Map the certificate against employer-defined skill benchmarks.
Measure
Benchmark graduate skills against those employer standards.
Manage
Update the curriculum through an employer advisory board.
Outcome — Graduates enter the workforce with recognized, in-demand AI skills.
Evidence: Skills benchmark + employer advisory minutes
AI literacy in a clinical program
School of Nursing · clinical education
A nursing program must prepare students to use clinical AI tools safely and skeptically.
Govern
Require clinical-AI literacy as a program outcome.
Map
Define competencies for interpreting and questioning clinical AI.
Measure
Assess competencies in simulation and clinical placements.
Manage
Update the curriculum with clinical partners as tools change.
Outcome — Graduates use clinical AI with appropriate skill and skepticism.
Evidence: Competency assessment + simulation rubric
A stackable AI-skills micro-credential
Academic Affairs · credentialing
The institution wants a portable badge that signals verified AI skills to employers.
Govern
Establish an AI-literacy credential framework.
Map
Define the competencies each badge level certifies.
Measure
Assess candidates against the badge rubric.
Manage
Issue, renew, and keep the credential current with the field.
Outcome — Students earn a portable, employer-recognized AI credential.
Evidence: Micro-credential rubric + issuance record
Equity for adult and returning learners
Adult & Online Education
Returning adult learners have uneven prior exposure to AI tools.
Govern
Commit to equitable access to AI-literacy opportunities.
Map
Identify access and confidence gaps among adult learners.
Measure
Assess whether outcomes hold across learner backgrounds.
Manage
Provide onboarding, devices, and flexible support to close gaps.
Outcome — Adult learners reach the same AI-literacy outcomes as traditional students.
Evidence: Equity outcome analysis + support plan
An AI-ethics thread across the curriculum
Curriculum Committee
Students should encounter AI ethics repeatedly, not in a single isolated course.
Govern
Adopt AI ethics as a cross-curricular literacy outcome.
Map
Map where ethics content appears across the program of study.
Measure
Assess students’ ethical-reasoning outcomes.
Manage
Fill gaps and refresh cases as issues emerge.
Outcome — Students build durable AI-ethics judgment across their studies.
Evidence: Ethics-thread map + reasoning assessment
A capstone that uses AI responsibly
Engineering · senior capstone
Capstone teams may use AI tools, and the program wants that use to be skilled and disclosed.
Govern
Set expectations for responsible, disclosed AI use in the capstone.
Map
Identify which competencies the capstone should demonstrate.
Measure
Assess both the work product and the quality of AI use.
Manage
Coach teams and refine the rubric each cycle.
Outcome — Students demonstrate skilled, transparent AI use in authentic work.
Evidence: Capstone rubric + AI-use reflection
Faculty upskilling to teach AI literacy
Center for Teaching · faculty development
Faculty need their own AI fluency before they can build it in students.
Govern
Recognize faculty AI-teaching competency as a shared responsibility.
Map
Identify the teaching competencies faculty need to build.
Measure
Assess faculty confidence and classroom adoption.
Manage
Provide development, communities of practice, and recognition.
Outcome — Faculty gain the fluency to teach AI literacy credibly.
Evidence: Faculty development completion + adoption survey
Risk-tier examples
Assistive
AI-powered career-exploration tools for students.
Tools & artifacts
AI-literacy outcomes framework
Curriculum map
Employer advisory charter
Micro-credential rubric
Key controls & instruments
AI literacy requirements policy
AI literacy learning-outcomes framework
Industry-aligned AI skills benchmarks
AI literacy credential or certificate framework