{"resourceId":"everylearner-teachaccess-ai-accessibility-he-2025","versions":[{"version":"external-ccbaf4be76e07c0a0ce9cd7c8a5509a787322a6d4bf8016fee375570b49b57d4","resource":{"id":"everylearner-teachaccess-ai-accessibility-he-2025","title":"Teach Access / Every Learner Everywhere toolkit: GenAI can aid or impede HE accessibility","organization":"Teach Access / Every Learner Everywhere","sector":"Higher education accessibility / digital learning","geography":"United States higher education guidance","publishedAt":"Teach Access (2025) toolkit PDF retrieved 2026-09-20","publicationDate":"2025-01-01","eventDate":null,"sourceName":"Every Learner Everywhere open PDF toolkit","sourceLabel":"Teach Access (2025) — Where AI Meets Accessibility: Considerations for Higher Education","sourceUrl":"https://www.everylearnereverywhere.org/wp-content/uploads/Where-AI-Meets-Accessibility-Final.pdf","evidenceClass":"standards-guidance","outcomeClass":"mixed","topics":["accessibility-workforce","governance-procurement","operating-model"],"finding":"HE-oriented toolkit argues AI embedded in educational settings offers both opportunities and challenges for people with disabilities: it can help overcome technology barriers while also inadvertently creating new obstacles. Covers accessibility concepts, AI risks/benefits for PWD, assistive technologies, accessible content, and recommendations for higher education institutions to shape accessible AI practice.","sledRelevance":"Newly applied to fill the stream’s recurring disability-evidence gap after prior editions noted missing disability-specific causal trials. Why now: pairs with same-week advising-AI risk reporting and safe-tutor controls to keep accessibility in procurement/operating models.","evidence":"Source findings: practitioner guidance and frameworks. Limitations: not empirical outcome research; 2025 toolkit; local testing still required.","architectureImplications":"Interpretation: accessibility and AT interoperability must be architectural requirements for student-facing GenAI.","governanceImplications":"Interpretation: include DSS in AI governance and procurement gates.","securityPrivacyImplications":"Interpretation: minimize disability-status exposure in AI prompts and logs.","caveats":"Guidance, not causal evidence of learning/persistence gains for disabled students.","streamIds":["student-success"],"roles":{"sales":"Sales framing: use Teach Access / Every Learner Everywhere’s Where AI Meets Accessibility HE toolkit to insist accessibility is a first-order design constraint for tutoring/advising AI—not a post-launch patch. Pair with measured learning sources; do not claim causal disability outcomes from the toolkit alone.","engineering":"Engineering framing: bake accessibility tests into GenAI delivery pipelines. Prerequisites include DSS partnership and AT testing. Constraints: toolkit is advisory. Proof of value: passed accessibility checks with disabled student testers—not vendor marketing.","delivery":"Delivery framing: delivery is accessibility operations for AI. Ownership with DSS and IT accessibility. Acceptance is reviewed tools plus published guidance. Risks include creating new barriers while claiming inclusion."},"roleDetails":{"sales":{"customerProblem":"Institutions need HE-specific guidance so GenAI helps disabled students rather than creating new barriers.","stakeholders":["DSS/accessibility office","Teaching & learning","IT/accessibility","Procurement","Student affairs"],"discoveryQuestions":["Were disability stakeholders included in AI tool selection?","Do AI features meet WCAG and assistive-tech interoperability?","How will inaccessible AI outputs be remediated?","Are accommodation processes updated for GenAI?"],"valueHypothesis":"HE-focused accessibility guidance reframes GenAI as both opportunity and risk for people with disabilities, calling for deliberate accessibility-by-design rather than bolt-on fixes.","potentialEngagement":"Accessibility impact review of top student-facing GenAI tools with DSS and procurement.","unsupportedClaims":["That GenAI automatically solves accessibility","That this toolkit is an empirical outcome study","Compliance without testing with disabled students"]},"engineering":{"fit":"Fits campuses integrating GenAI into LMS, tutoring, or content workflows that must remain accessible.","architectureIntegration":"Accessibility requirements in architecture reviews; AT interoperability tests; captioning/alt-text pipelines for AI outputs; WCAG-oriented acceptance tests.","prerequisites":["DSS consultation","AT test devices/users","Vendor VPAT/ACR","Remediation backlog process"],"constraints":["Guidance toolkit, not RCT","2025 publication (newly applied here)","Institution must still local-test"],"security":"Avoid exposing disability status unnecessarily to models; minimize sensitive accommodation data in prompts.","proofOfValue":["AT user testing before scale","Check AI-generated content for accessibility defects","Document accommodation pathways involving GenAI"]},"delivery":{"work":"Run accessibility reviews of GenAI tools, update accommodation guidance, and train faculty on accessible AI use.","dependencies":["DSS capacity","Faculty development","Procurement checkpoints","Student testers"],"ownership":"Disability support services with IT accessibility and teaching-center partners.","skillsAdoption":"Faculty/staff need accessible-AI literacy; students need clear paths to request adjustments involving GenAI.","governanceCheckpoints":["Pre-procurement accessibility gate","Termly AT regression tests","Complaint/remediation SLA"],"acceptanceCriteria":["Top student-facing GenAI tools reviewed with DSS","AT interoperability documented","Student-facing GenAI accommodation guidance published"],"risks":["Inaccessible AI content at scale","Disability data leakage into prompts","Treating GenAI as universal accommodation without individualized process"]}},"retrievedAt":"2026-09-20T03:08:33Z","enrichedAt":"2026-09-20T03:15:04Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Interpretation: centers disabled students as stakeholders in AI design, testing, and policy—not afterthought users.","procurementImplications":"Interpretation: require accessibility evidence and remediation commitments in GenAI contracts.","operatingModelImplications":"Interpretation: operating model pairs GenAI innovation with ongoing accessibility monitoring and accommodation workflows.","sourceVerification":{"responseId":"curl-everylearner-ai-accessibility-2026-09-19","openedUrl":"https://www.everylearnereverywhere.org/wp-content/uploads/Where-AI-Meets-Accessibility-Final.pdf","referenceExcerpt":"AI can help overcome technology barriers and highlighting areas where it may inadvertently create","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}