Artificial intelligence represents a transformative force, one that will fundamentally reshape society over the coming decades. How we harness AI's benefits while mitigating its risks will define our era for future generations.
Drawing from decades of research involving AI [2], we recognize that higher education institutions must prepare to navigate both immediate challenges and long-term implications of AI in Education.
Academic institutions must strengthen their foundational research capacity to understand AI capabilities, limitations, and underlying principles. Universities should lead efforts in establishing best practices, conducting audits, and informing regulations that ensure responsible AI deployment aligned with human values.
A critical challenge facing academia is the resource asymmetry with industry regarding data, computational power, and advanced models. Closing this gap is essential for enabling scholars and students to engage in frontier research when issues first emerge.
Higher education must rigorously monitor AI's economic impacts and develop technologies and policies promoting shared prosperity over inequality. Universities should engage in international dialogues promoting AI safety and human rights globally.
To harness Artificial Intelligence as a transformative force in education, research, and innovation — driving sustainable national development and nurturing a knowledge-based, future-ready society.
To integrate AI across the institution's educational, research, and administrative ecosystems — fostering creativity, critical thinking, and data-driven decision-making that address Oman's and the region's strategic priorities.
Establish AI governance committee, define policies, build AI literacy programs, and pilot smart learning systems.
Develop AI research clusters, deploy learning analytics, and establish data-sharing frameworks.
Scale AI solutions, launch AI-powered national projects (water, health, energy), and nurture AI startups.
Position the institution as a regional AI leader contributing to national policy, innovation, and education.
Oversees AI strategy, compliance, and ethical standards across the institution.
For more information see our AI Governance page.
Clear communication of data usage
Responsible privacy compliance
Avoid discrimination and bias
Secure data storage and transmission
Data for legitimate purposes only
Embeds AI ethics, fairness, and social responsibility in teaching and research programs across all disciplines.
The goal of this framework is to empower stakeholders to be critical, responsible, and effective collaborators with AI systems. The following competencies are organized into three pillars: Foundational Knowledge, Strategic Application, and Ethical Stewardship. These competencies should be integrated across the curriculum, research, and administrative processes.
This pillar ensures all community members possess a shared foundational understanding of Artificial Intelligence (AI) concepts, capabilities, and limitations.
This pillar focuses on the practical skills required to effectively and strategically integrate AI tools into learning, research, and administrative workflows, emphasizing human-AI partnership.
This pillar addresses the human-centered, ethical, and societal responsibilities inherent in the use and development of AI, ensuring a focus on human agency, accountability, and equity.
Developing these nine competencies ensures that graduates are not only competitive in an AI-driven global workforce but are also equipped to be thoughtful, ethical leaders who harness technology in service of human values. This shift moves education from content delivery to the development of human judgment augmented by technical fluency.
Knowledge-based economy, innovation, and sustainable development
Quality education (SDG4), clean water (SDG6), affordable energy (SDG7), industry & innovation (SDG9), climate action (SDG13), and sustainable communities (SDG11)
Guidance for Policy Makers