{"resourceId":"ireland-hea-genai-teaching-policy-framework-2025","versions":[{"version":"external-41b96e648d69ac959616fc479e10190fc158012ad171c65c9b8785b2001b19ef","resource":{"id":"ireland-hea-genai-teaching-policy-framework-2025","title":"Irish framework connects learning oversight, equitable access and data control","organization":"Higher Education Authority; James O’Sullivan, Colin Lowry, Ross Woods and Tim Conlon","sector":"Higher education teaching and learning","geography":"Ireland; U.S. transfer requires local policy and legal review","publishedAt":"December 2025, version 1.0; exact day unknown","publicationDate":null,"eventDate":null,"sourceName":"Generative AI in Higher Education Teaching & Learning: Policy Framework","sourceLabel":"Original Higher Education Authority guidance PDF; not an effectiveness evaluation","sourceUrl":"https://hea.ie/assets/uploads/2025/12/hea-genai-policy-framework.pdf","evidenceClass":"standards-guidance","outcomeClass":"emerging","topics":["knowledge-work","infrastructure","data-security","governance-procurement","accessibility-workforce","operating-model"],"finding":"Guidance links teaching use to human accountability, equitable access, student data rights and ongoing review; it reports no measured implementation benefits.","sledRelevance":"Interpretation: A teaching-specific checklist for U.S. colleges, not a statement of U.S. legal duties or a validated intervention.","evidence":"Version 1.0, December 2025. Operational sections address accessible participation, academic oversight, vendor data terms, deletion and external-model training consent. No evaluation baseline, outcome sample or causal estimate is supplied.","architectureImplications":"Interpretation: Map where course and learner data move, who can retrieve them, and how records leave a platform. Select cloud, on-premises or hybrid deployment through local needs and control tests; the framework does not benchmark them or validate agents.","governanceImplications":"Interpretation: Assign an academic decision owner and review gate to each use case. Guidance is a decision aid, not proof that a deployment is acceptable.","securityPrivacyImplications":"Interpretation: Verify the implemented data lifecycle, access controls and deletion behavior against contracts and notices. Obtain local review rather than importing Irish or EU obligations unchanged.","caveats":"Normative Irish framework, not audit or outcome research. Controls require resources and enforcement; possession of a policy cannot establish compliance, equity or educational effectiveness.","streamIds":["student-success"],"roles":{"sales":"Interpretation — Teaching leaders may have fragmented approvals and inconsistent expectations across courses. Bring academic governance, student representatives, privacy, IT, procurement and disability services into discovery. Ask who can approve a teaching use, who can stop it, what students are told and how they obtain equivalent support. Offer a bounded readiness review for one proposed assistant, producing an evidence register and unresolved decisions. The value hypothesis is a clearer, testable path to an institutional decision. Avoid promising compliance, lower cost or improved learning from policy alignment. This Irish framework offers useful questions, but the engagement must use the institution's own authority, rules and student context.","engineering":"Interpretation — Translate policy objectives into observable system behavior before product selection. Prerequisites include a data inventory, identity design, permitted-content list and a named system owner. Trace a synthetic student's data through collection, retrieval, logging, export and deletion, including provider-managed copies. Test access separation and recovery when the model or platform changes. A proposed proof of value should document the result of every agreed control test and identify evidence gaps that prevent approval. For a learner-memory feature, explicitly test consent withdrawal and record removal rather than assuming useful personalization justifies collection. Keep pedagogical tests alongside security checks; passing one does not imply passing the other.","delivery":"Interpretation — An academic sponsor should own the use case, with privacy and service owners accountable for their respective controls. Convert approved requirements into onboarding, staff training, student notices, accessible alternatives and a scheduled service review. Dependencies include enforceable provider terms, support capacity and an exit process that can actually be executed. Proposed acceptance criteria: each requirement has an owner and evidence, every critical control test passes, and students can reach an effective appeal or support route. These are proposed delivery gates. Monitor workload and unresolved complaints before expansion. Risks include paper-only controls, uneven course enforcement and an inaccessible alternative that exists formally but fails in practice."},"retrievedAt":"2026-09-12T03:00:47Z","enrichedAt":"2026-09-12T03:03:35Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Interpretation: Budget for accessible alternatives, staff development and student support before scaling; do not count training attendance as competence.","procurementImplications":"Interpretation: Request verifiable processing terms, deletion evidence, change notices, export capability and support commitments; review failures should be actionable.","operatingModelImplications":"Interpretation: Integrate teaching approval with IT service ownership and student feedback, with authority to pause an unsuitable use.","updateExplanation":"New in all 217 archive records and candidate search. Explicit December 2025 backfill adds a teaching-specific operational framework to evaluate learner-data and oversight choices; no new policy release is asserted.","sourceVerification":{"openedUrl":"https://hea.ie/assets/uploads/2025/12/hea-genai-policy-framework.pdf","referenceExcerpt":"Academic staff must retain final authority over assessment and curriculum decisions.","promptVersion":"sled-research-v3.1","model":null,"basis":"agent-reported inspection"}}}]}