Green paper on GenAI use in education in the UAE

This Green Paper presents a comprehensive analysis of the factors—both positive and negative—that influence the application of Generative AI (GAI) in the UAE’s education sector across K-12 schooling and higher education. Drawing on the 4M levels as utilized by Eaton (2020), and structured across five chapters, the paper explores macro, meso, and micro-level perspectives to support a balanced and ethical integration of GAI. The UAE, as a global leader in technological adoption, has established frameworks like the UAE Council for AI and Blockchain Technology and appointed a Minister of State for AI, positioning the country at the forefront of AI advancement. The rapid development of GAI offers significant opportunities to enhance academic practices, research methodologies, and learning environments, yet these benefits require a well-structured framework to address challenges related to equitable access, human-centred learning, intellectual growth, psychological impacts, needs for human verifications of AI output, and bias. Each chapter delves into critical components: national policy, ethics, and data governance (macro); institutional roles, curriculum development, and educator preparedness (meso); and classroom applications, assessment integrity, and student engagement (micro). This Green Paper provides a foundation for informed policy discussions, outlining actionable strategies to harness GAI’s potential while preserving academic integrity and equity in learning. The final chapters offer practical guidelines and continuous improvement mechanisms, encouraging UAE educational institutions to lead in responsible GAI integration and prepare students for an AI-driven future, where students' learning outcomes and the integrity of degrees are protected.