This framework, along with its accompanying annexes and supporting instruments, applies to the use of generative artificial intelligence, most notably large language models like ChatGPT, in teaching and learning within Irish higher education institutions. Its purpose is to guide educators, academic leaders, and professional staff in making informed, values-based decisions about how gen AI is adopted and integrated into educational practice.

This framework reflects the current state of generative AI adoption in higher education teaching and learning as of the date of publication, and is intended to evolve in response to technological developments and emerging evidence, as well as sectoral experience and continued consultation. The HEA will issue updates as and when required, and institutions should refer to the most recent published version when developing or reviewing their own policies.

DOI: 10.82110/px37-mp48

Policy Framework & Principles

Responsible use of generative AI in teaching and learning requires shared principles that balance autonomy with sector-wide coherence. Clear guidance enables institutions to act consistently while retaining space for academic freedom and autonomy, as well as disciplinary judgement.

Supporting Instruments

Effective governance of generative AI depends on practical instruments that translate policy intent into operational capability. Evidence, compliance guidance, training, and governance tools are essential for moving from principle to practice.

Evidence for the HEA’s National Policy Framework (Dec 2025)

Alignment with the EU AI Act (Dec 2025)

AI Literacy Training (Dec 2025)

AI-Resilient Assessment Practices (Dec 2025)

Vendor & Procurement Governance (Dec 2025)

Roles & Responsibilities

Values-based adoption of generative AI in Irish higher education depends on clearly defined roles and shared responsibility. No single actor can ensure ethical, lawful, and pedagogically sound adoption in isolation; leadership, staff, students, and support services must act in concert, each within their remit. This collective approach anchors generative AI use in institutional values while enabling coordinated, accountable practice.

Institutional Leadership Teams (Dec 2025)

Teaching Staff (Dec 2025)

Students (Dec 2025)

Academic Support Units (Dec 2025)

IT & Data Protection (Dec 2025)

Call for Case Studies

The Higher Education Authority invites higher education institutions to submit case studies demonstrating responsible and effective use of generative AI in teaching and learning.