Educational Integrity: Ethical and Regulatory Perspectives on Generative AI in Moroccan Higher Education
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- Naoufal DidiSidi Mohamed Ben Abdellah University, Fez, Morocco
Abstract
Generative artificial intelligence (AI) systems are quickly being adopted by universities in Morocco, challenging long-standing conventions of authorship, assessment, and data stewardship. This paper considers the ethical risks and regulatory vacuums raised by the introduction of these AI tools and how to protect academic integrity without stifling innovation. Using a mixed-methods approach - policy analysis of global and national frameworks for AI in education; document review of three Moroccan universities; and semi-structured interviews with fifteen faculty, administrators and policymakers - we identify three converging sites of contention: the lack of any clear rules for disclosure, the uneven level of institutional preparedness, and the inherent language bias in existing commercial AI models. At the same time, we can locate aspects of ethical AI governance that are resourceful and situated in Muslim concepts of “amanah” (trustworthiness), and emerging national-level digital transformation agendas. We offer a Glocal governance model, honoring international best practices, but situated within Moroccan material and cultural contexts and languages. Ultimately, we call for participatory policy-making, faculty professional development and capacity building, investment in Arabic and Amazigh-oriented language models that align with our goals, and that together forge a path toward an equitable and innovative higher education ecosystem.
Keywords
Generative AIHigher educationAcademic integrityAI ethicsMorocco
Works Cited (39)
- Adoui, Aicha. “Internationalization in Moroccan Higher Education.” Zenodo, 2022, https://zenodo.org/records/7833445.
- ---. Multilingual AI in Education: Opportunities for Morocco. Springer, 2025.
- Benali, Hicham. Digital Transformation and the Moroccan Education System. Paris, L’Harmattan, 2021.
- ---. Ethics of AI in Moroccan Education. Al-Mutawassit Press, 2025.
- Benkirane, Rachid, and Mohamed El Maarouf. “Educational Sovereignty in the Digital Age.” Journal of North African Studies, vol. 26, no. 3, 2021, pp. 451–472. https://www.researchgate.net/publication/368697556
- ---. Digital Sovereignty in the Arab World. Al-Mutawassit Press, 2025.
- Biesta, Gert. The Beautiful Risk of Education. Paradigm Publishers, 2015.
- Boddington, Paula. Towards a Code of Ethics for Artificial Intelligence. Springer, 2017.
- Bouzidi, Abdelkader. “Multilingual Education and AI in North Africa.” Rabat Institute for Research, 2020.
- Bouzidi, Mohamed. “Multilingual Education and Technology in Morocco.” International Journal of Educational Development, vol. 78, 2020, pp. 102–115, https://doi.org/10.1016/j.ijedudev.2020.102115.
- Braun, Virginia, and Victoria Clarke. “Using Thematic Analysis in Psychology.” Qualitative Research in Psychology, vol. 3, no. 2, 2006, pp. 77–101, www.tandfonline.com/doi/abs/10.1191/1478088706qp063oa.
- Brynjolfsson, Erik, and Andrew McAfee. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company, 2014.
- Couldry, Nicola, and Ulises Ali Mejias. The Costs of Connection: How Data Is Colonizing Human Life. Stanford University Press, 2019.
- ---. Data Colonialism: Rethinking Big Data’s Relation to the Global South. MIT Press, 2024.
- Charmaz, Kathy. Constructing Grounded Theory. 2nd ed., SAGE, 2014.
- Crawford, Kate. The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press, 2024.
- Floridi, Luciano, and Josh Cowls. “A Unified Framework of Five Principles for AI in Society.” Harvard Data Science Review, vol. 3, no. 1, 2021, https://hdsr.mitpress.mit.edu/pub/l0jsh9d1/release/8.
- Florid, Luciano. The Ethics of Information. Oxford University Press, 2013.
- Gasser, Urs, and Virgílio Almeida. “A Layered Model for AI Governance.” IEEE Internet Computing, vol. 21, no. 6, 2017, pp. 58–62, https://ieeexplore.ieee.org/document/8114684.
- Holmes, Wayne, et al. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, Center for Curriculum Redesign, 2021.
- ---. Teaching with AI: New Roles for Educators. Springer, 2025.
- Jandrić, Petar. “Postdigital Research in the Time of Covid-19.” Postdigital Science and Education, vol. 3, 2021, pp. 233–238, link.springer.com/article/10.1007/s42438-020-00113-8.
- Knox, Jeremy. “Artificial Intelligence and Education in China.” Learning, Media and Technology, vol. 45, no. 3, 2020, pp. 298–311, www.tandfonline.com/doi/full/10.1080/17439884.2020.1754236.
- Luckin, Rose, et al. Intelligence Unleashed: An Argument for AI in Education. Pearson Education, 2016, www.pearson.com/content/dam/one-dot-com/global/Files/about-pearson/innovation/open-ideas/Intelligence-Unleashed-v15-Web.pdf.
- Marginson, Simon. The Dream Is Over: The Crisis of Clark Kerr’s California Idea of Higher Education. University of California Press, 2016.
- Mhlanga, David. Generative AI in Education: Ethical Challenges and Opportunities. Routledge, 2024.
- Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press, 2018.
- OECD. AI and Education: Policy Recommendations. OECD Publishing, 2022.
- Peters, Michael Adrian, et al. Postdigital Pedagogy: Critical Teaching for Global Challenges. Springer, 2021, www.oecd.org/education/ai-and-education-policy-recommendations.pdf.
- Sadowski, James. Too Smart: How Digital Capitalism Is Extracting Data. MIT Press, 2020.
- Schwab, Klaus. The Fourth Industrial Revolution. Crown Business, 2016.
- Selwyn, Neil. Should Robots Replace Teachers? AI and the Future of Education. Polity Press, 2019.
- ---. Education and Technology: Critical Perspectives in the Generative Era. Bloomsbury Academic, 2024.
- UNESCO. AI and Education: Guidance for Policy-Makers. UNESCO Publishing, 2021.
- ---. AI in Education: Regional Strategies for Equity and Innovation. UNESCO Publishing, 2025, unesdoc.unesco.org/ark:/48223/pf0000376705.
- Williamson, Ben, and Anna Hogan. The Datafication of Education. Routledge, 2020.
- ---. Education Governance and Datafication: Critical Perspectives on Data-Driven Education Policy. Routledge, 2022.
- ---. AI and Education: Governance in the Age of Generative Systems, 2025.
- Zuboff, Shoshana. The Age of Surveillance Capitalism. PublicAffairs, 2019.
