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Generative AI in Higher Education Teaching & Learning: Principles for Ethical AI Adoption

Academic IntegrityDigital WorldHEA & National Forum PublicationsTeaching and Learning Practice

Description

This document sets out a detailed, values-led framework to support the ethical adoption of generative artificial intelligence (gen AI) in teaching and learning across Irish higher education. It builds on the HEA Generative AI Policy Framework by translating high-level principles into concrete provisions to guide institutional policy, governance and educational practice.

The principles address five core areas: academic integrity, equity and inclusion, critical engagement and AI literacy, privacy and data governance, and sustainable pedagogy. Together, they provide institutions with a practical reference for navigating the ethical, pedagogical and organisational challenges associated with generative AI, while safeguarding academic standards, student rights and institutional autonomy.

Benefit of this resource and how to make the best use of it

– Provides guidance to support ethical and responsible adoption of generative AI
– Supports institutions in translating values and principles into policies, practices and governance arrangements
– Helps safeguard academic integrity, fairness and student accountability in AI-enabled teaching and assessment
– Supports equitable access, inclusion and transparency in the use of generative AI tools
– Informs staff development, assessment design and AI literacy initiatives across disciplines

People, communities and initiatives

Collaborators

Colin Lowry · James O'Sullivan · Ross Woods · Tim Conlon

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Initiatives

Creative Commons Attribution-ShareAlike (CC BY-SA)

This work is licensed under a CC BY-SA license, allowing adaptation and sharing with proper attribution, provided derivative works use the same license.

https://creativecommons.org/licenses/by-sa/4.0/

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