Jul 2026· Journal of Interdisciplinary Studies in Education· 0 citations· 31 references
TL;DR
The study offers the Inclusive AI Governance-Readiness Framework, connecting institutional coordination, stakeholder engagement, readiness, and ethics for sustainable AI integration.
Abstract
Artificial intelligence (AI) is revolutionizing higher education through personalized learning and data-driven administration. However, effective governance remains an essential issue for AI adoption, particularly in developing countries such as Morocco, where research is still limited. This study examines the role of governance structures, stakeholder engagement, and institutional preparedness in AI adoption within Moroccan universities through a systematic literature review of 37 peer-reviewed articles from Scopus (2020-2026), using PRISMA guidelines and thematic synthesis. Findings reveal a surge in AI studies since 2024, mostly conceptual and from Global North countries, highlighting multi-level, ethical, participatory, and anticipatory governance models. Stakeholder participation remains mostly top-down, with minimal faculty and student engagement, while readiness comprises infrastructure, literacy, leadership, and policy frameworks. Morocco has centralized control through Law 59.24 and Maroc AI 2030, but lacks context-specific studies. The study offers the Inclusive AI Governance-Readiness Framework, connecting institutional coordination, stakeholder engagement, readiness, and ethics for sustainable AI integration.
This study synthesizes fragmented research on artificial intelligence (AI) in higher education governance and identifies key gaps for future research and policy and provides a useful lens for interpreting institutional adaptation.
Xinyi Jiang, Zuraidah Abdullah· Frontiers in Education· 3 citations
The ability of institutions to leverage opportunities to transform governance in higher education depends on adopting anticipatory governance models that emphasize foresight and stakeholder engagement, as well as adopting changes to the traditional role of both leaders and educators to become data literate, inclusive, collaborative, and forward-thinking.
S. Baroudi· International Journal of Edu...· 2 citations
The review identifies transparency, explainability, human oversight, accountability, proportionality, co-design, and appeal mechanisms as core governance principles in the AIMS AI-Human Framework.
T. Anthuvan, Sunitha Prabhuram, Chirag B. Rathod· World Journal of Entrepreneu...· 0 citations
It is suggested that sustainable AI adoption requires institutions to first establish robust governance structures, ensure data readiness and embed ethical safeguards before expanding technological investments, with particular relevance for resource-constrained higher education contexts in Malaysia and the broader Global South.
Nurul Aisyah Kamrozzaman, N. Muhiddin, Washima Che Dan et al.· International Research Journ...· 0 citations
The framework demonstrates that the sustainable value derived from AI in higher education depends less on the level of the technology adopted than on the ethical bases and consistency of the leadership responsibility for its integration, offering higher education leaders and policymakers a structured path toward responsible AI governance and sustainable institutional transformation.
Asem S. Obied, Ahmed Raja Haj Ali· Frontiers in Education· 0 citations
The integration of Artificial Intelligence (AI) and digital platforms into public administration and private sectors is fundamentally reshaping governance structures worldwide. While these technologies offer substantial opportunities for efficiency and innovation, they simultaneously pose significant challenges to legal accountability, institutional legitimacy, social equity, and ecological sustainability. Despite a proliferation of policy initiatives, comprehensive evidence is lacking on how AI-driven governance concretely influences policy decision-making across diverse strategic sectors. This study employed a systematic literature review (SLR) methodology, following a structured screening and selection process. From an initial corpus, 45 peer-reviewed empirical and policy-oriented articles published between 2021 and 2026 were selected for in-depth analysis. A thematic synthesis approach was applied, categorizing the literature into four interconnected analytical pillars: (i) institutional transformation and regulatory governance, (ii) access, participation, and digital justice, (iii) innovation, competitiveness, and sustainable development, and (iv) ethics, risk mitigation, and policy legitimacy. The findings reveal that digital governance operates through four primary mechanisms: restructuring institutional procedures and oversight frameworks (law and public administration); enhancing access to resources, services, and citizen participation (agrarian and socio-cultural sectors); driving economic innovation and environmental sustainability (economic and resource management); and navigating ethical risks to maintain policy legitimacy (cross-cutting). A persistent gap was identified between technological adoption and the adaptive capacity of existing legal and regulatory institutions, particularly in addressing data governance, accountability, and inclusivity challenges. The SLR demonstrates that effective AI and digital platform governance demands a holistic, context-sensitive approach that actively balances efficiency with justice, innovation with accountability, and risk with public value. The study offers an integrative framework for policymakers and practitioners to navigate digital transformation complexities and establishes a robust foundation for future empirical research on policy decision-making in the digital era.
