Generative Artificial Intelligence Policy: A Qualitative UNESCO Framework Analysis.

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Bibliographic Details
Title:	Generative Artificial Intelligence Policy: A Qualitative UNESCO Framework Analysis.
Authors:	Adarkwah, Michael Agyemang¹, Ercan, Amine Merve¹, Schneider, Käthe¹, Bayar, Ekin¹
Source:	Journal of University Teaching & Learning Practice. 2026 2nd Quarter, Vol. 23 Issue 2, p1-38. 38p.
Subject Terms:	Generative artificial intelligence, Higher education, Education ethics, Diversity & inclusion policies, Policy analysis, Sustainability
Company/Entity:	UNESCO
Abstract:	Generative artificial intelligence’s (GenAI) emergence has compelled higher education leadership to design robust policies that foster safe and responsible integration and promote academic integrity. However, there is a lack of knowledge and evaluation of how higher education institutions comprehensively regulate GenAI usage. This study employed a qualitative policy analysis technique to examine the GenAI policies of thirty (30) highly ranked universities according to the Quacquarelli Symonds (QS) ranking across the top ten countries for AI preparedness. UNESCO's eight-component GenAI framework served as a lens for evaluating the robustness of the policies. The study’s findings reveal significant disparities in policy implementation. Specifically, although core ethical and governance principles are widely embraced, key issues like inclusion, equity, and sustainability, such as internet access, gender parity in AI, and environmental impact, are often overlooked. Nordic countries and New Zealand cover UNESCO’s elements more fully than some higher-ranked AI Preparedness Index (AIPI) countries, indicating that AIPI ranking does not guarantee strong GenAI policies. Notably, no public policies were found for German universities and Tallinn University of Technology. The study underscores the necessity for higher education leaders to develop more inclusive and future-oriented policies that integrate social equity, interdisciplinary experimentation, and sustainability considerations. Future studies can replicate this research by focusing on the long-term impact of the policies on university operations such as assessment, teaching, learning, research, academic performance. [ABSTRACT FROM AUTHOR]
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Database:	Education Research Complete

Description
Abstract:	Generative artificial intelligence’s (GenAI) emergence has compelled higher education leadership to design robust policies that foster safe and responsible integration and promote academic integrity. However, there is a lack of knowledge and evaluation of how higher education institutions comprehensively regulate GenAI usage. This study employed a qualitative policy analysis technique to examine the GenAI policies of thirty (30) highly ranked universities according to the Quacquarelli Symonds (QS) ranking across the top ten countries for AI preparedness. UNESCO's eight-component GenAI framework served as a lens for evaluating the robustness of the policies. The study’s findings reveal significant disparities in policy implementation. Specifically, although core ethical and governance principles are widely embraced, key issues like inclusion, equity, and sustainability, such as internet access, gender parity in AI, and environmental impact, are often overlooked. Nordic countries and New Zealand cover UNESCO’s elements more fully than some higher-ranked AI Preparedness Index (AIPI) countries, indicating that AIPI ranking does not guarantee strong GenAI policies. Notably, no public policies were found for German universities and Tallinn University of Technology. The study underscores the necessity for higher education leaders to develop more inclusive and future-oriented policies that integrate social equity, interdisciplinary experimentation, and sustainability considerations. Future studies can replicate this research by focusing on the long-term impact of the policies on university operations such as assessment, teaching, learning, research, academic performance. [ABSTRACT FROM AUTHOR]
ISSN:	14499789