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Responsible AI in Gulf Classrooms: Multi-Stakeholder Strategies for AI Integration in Gulf and MENA Education

By: Nur El-Mahrakawy

The integration of Artificial Intelligence (AI) into education systems is essential for preparing future generations for the demands of a rapidly evolving labor market. In the Gulf region (GCC), the Saudi Data and Artificial Intelligence Authority (SDAIA), in collaboration with the Ministry of Education, has mandated an “Introduction to AI” course for third-year high school students with a focus on AI concepts, machine learning, data analysis, and ethical considerations, while the United Arab Emirates (UAE) has gone even further, mandating AI education for all students from kindergarten through grade 12 in an explicit indication of their common goal of becoming global pioneers in AI integration. Even Egypt’s president Abdel-Fatah El-Sisi, directed the government to establish 300 integrated human development centers to enhance cultural, educational, and athletic capabilities and improve physical, psychological, and social health, and prepare future generations for the job market.

While these steps are certainly promising, their journeys raise critical questions for the broader Middle East and North Africa (MENA) region, where, according to UNICEF, approximately 89 million school-age children still lack home internet access and require careful consideration of AI governance, ethical considerations, educator readiness, and equitable access.

The Gulf’s Strategic Advantage in a Divided Region

The contrast between Gulf states and their MENA neighbors is stark. In Saudi Arabia, Yasir Al-Rumayyan, Governor of the Public Investment Fund (PIF), shared that the PIF injects between $40 and $50 billion annually into AI integration, demonstrating the fund’s dedication to economic diversification. Similarly, the UAE unveiled its ambitious Abu Dhabi Government Digital Strategy 2025-2027, which allocated an astounding AED 13 billion to AI development. These investments have translated into tangible infrastructural developments. While a recent Ericsson Mobility Report forecasts that the GCC will have one of the highest 5G penetration rates by 2029 at 92%, in Tunisia, for example, the new digital platform “Tunis Future School” only targets 500 educational institutions, while many classrooms still rely on chalkboards. The impact of low economic resources also translates into a disparity between GCC and non-GCC countries’ ability to invest in empowering educators to not only use AI but teach students how to use it ethically. According to a Cambridge University journal article, the MENA region experiences significant brain drain, with its AI graduates immigrating to European and North American tech hubs - a trend that Saudi Arabia counters by offering scholarships, financial incentives, and guaranteed job offers for AI graduates who stay and work in the Kingdom.

Yet despite these challenges, many MENA countries are showing promising moves to integrate AI in education. For example, the American University in Cairo not only developed an ethical AI use guideline for students, they also use AI-powered chatbots to assist students with course registration, offer free access to popular AI tools such as Gemini and Microsoft Co-pilot, and even have an “AI Tools for Educators” course with practical hands-on learning to empower educators to effectively integrate AI technologies in their teaching and administrative workflows. On a national level, the Egyptian government distributed tablets to students in secondary public schools in 2018 to facilitate access to school materials and complete exams. On the other side of North Africa, Morocco’s Mohammed VI Polytechnic University (UM6P) became the first university in Africa to adopt ChatGPT.Edu to enhance educational and administrative functions across the institution in 2024. However, the playing field is still uneven due to political instability, low economic resources, poor infrastructure, and inadequate training among educators. 

With this in mind, we must reflect on both the opportunities presented by AI’s integration into education and the challenges the GCC will inevitably face along the way.

EdTech and Augmented Learning

There are certainly many positive use cases for AI-assisted learning. GCC schools and universities are already employing many transformative AI-solutions, including intelligent tutoring systems that provide real-time feedback to identify at-risk students by analyzing student performance data, such as grades, attendance records, and engagement levels to provide a holistic view of each student’s learning, enabling educators to make data-driven decisions for tailored interventions. In addition, Natural Language Processing (NLP) can provide real-time assistance to students, guiding them through course materials and providing them with feedback on written assignments. Other interesting use cases include gamified learning platforms, which leverage AI to create interactive learning environments that promote student engagement. 

But is it all a rosy picture?

While AI holds great potential to transform the GCC’s educational landscape, the ethical use of AI in education is a central debate among educational and government leaders globally. 

1. Gaps in AI Governance

An article in the Journal of Artificial Intelligence Research argues that GCC nations, including the UAE, Saudi Arabia, Qatar, Oman, Bahrain, and Kuwait adopt a “soft regulation” approach that emphasizes “national strategies and principles” rather than binding regulations in a manner that has led to concerns over “ethics washing” due to a of lack enforcement mechanisms. While GCC nations have signed the UNESCO Recommendation on the Ethics of AI, UNGA, and the OECD AI Principles, which are non-binding agreements, none have signed the binding Council of Europe’s Framework Convention on AI.

This fractured outcome is not surprising because while ethical and social considerations have been acknowledged through the development of National AI Strategies by each country, safe engagement with AI is overshadowed by the quest for economic growth and innovation. However, without robust Personal Data Protection Laws (PDPLs), it will be difficult to safeguard data rights, including those of students engaging with AI. An article by Nick O’Connel highlights the position of most GCC countries where privacy is only protected under “general provisions of laws not specifically focused on the issue of privacy;’ however, the digitization of education necessitates steps to protect the personal data of teachers and students such as grades, health data or contact details.

2. Training Educators

While numerous training programs are emerging in both the UAE and KSA, offered by government entities, universities, and private providers, the accessibility for expatriate teachers, who form a substantial part of the teaching workforce, varies significantly. Within this context, it is important to note that while the average salary for a teacher in the UAE is AED 8,500 a month, in Saudi Arabia it stands at SAR 6,500. While there are certainly options available to learn AI internationally, their prices vary, and most of the affordable options only offer a “badge” or “certificate of completion.” For teachers working in KSA, this gap poses significant challenges to their ability to remain in KSA on the long term.

The tables below provide an overview of some of the available options for AI training in Saudi Arabia and the UAE. While these tables are not comprehensive, they are meant to provide a survey of some of the most common options.

Table 1: UAE Government-Approved AI Programs for Educators

Program Name Provider Target Audience Cost (AED) Features Expat
AI Pioneers Program DGOV Academy Government Employees Free Practical AI skills, NLP, ethical usage with Administrative and Technical tracks If a government employee
"AI for Teachers" Program ADEK & 42 Abu Dhabi Educators in Abu Dhabi's private and charter schools Likely Sponsored Practical AI integration, lesson planning, engagement, personalized learning Yes (for teachers in Abu Dhabi)
Dubai AI Teacher Training Initiative Dubai Centre for Artificial Intelligence & KHDA All teachers in Dubai Likely Sponsored AI knowledge, innovative approaches, automation, personalized learning Yes (for teachers in Dubai)
Teaching Skills Advanced Level East Bridge Training (EBT) Experienced educators, curriculum developers 5,000 Modern teaching methodologies, AI tools, ChatGPT, KHDA-approved certificate Assumed Yes
Empowering Educators: Quantum Technology and AI Sorbonne University Abu Dhabi School teachers 512 AI & Quantum Tech, math in AI, interactive activities Yes

 

Table 2: KSA Government-Approved AI Programs for Educators

 

Program Name Provider Target Audience Cost (SAR) Features Expat
SAMAI (One Million Saudis in AI) SDAIA, MoE, Ministry of Human Resources Saudi citizens (teachers, students, workforce) Likely Sponsored Empower one million Saudis with AI skills, align with Vision 2030 No (Saudi Nationals only)
"Mustaqbali" (My Future) Program MCIT, NeLC, Oracle Saudi nationals (students, professionals) Likely Sponsored Professional certifications and digital badges, focus on women No (Saudi Nationals only)
Pre-service Teacher Preparation Program KSA Ministry of Education All new educators entering KSA system Part of Qualification Training to integrate modern technology and digital tools Depends on hiring policies
Professional Certificate in Online Teaching/Training National eLearning Center (NELC) Educators and trainers in online teaching Max 200 (exam) + provider fee Digital literacy, learner-centered activities, digital assessment tools Likely Yes (for certificate
 
3. Inclusive AI
 
A Global Campus Arab World Policy Brief points to the dangers of the “digital divide” in the MENA region, which is associated with “low socio-economic status and rural contexts, as well as gender disparities.”  This reality was highlighted during the third event in a collaborative series between the MENA Observatory and the African Observatory on Responsible AI on AI Governance, “Governing Responsible Artificial Intelligence in the Middle East and Africa: Narratives from MENA and African Observatories on Responsible AI,” titled, ““AI, Gender and Work: Perspectives from the Middle East and Africa.” Moderated by Dr. Nagla Rizk, participants pointed to the disparity in access to technology in the MENA region, wherein only 64% of women had access to technology compared to 75.1% of men. Within this context, Dr. Rizk asserted that governments need to design tailored approaches that account for women’s unique needs for “education, skilling, and training.”

Furthermore, the scarcity of Arabic content in datasets often leads to unreliable and biased AI-generated knowledge about the MENA region. During the MENA Observatory’s “Multi-Stakeholder Collaboration for Responsible AI Development in Africa,” webinar, Mr. Silas Adekunle Co-Founder and CEO at Reach Industries emphasized that current AI systems were not designed with the realities of Africa in mind. For example, African languages, often rich in symbolism and tonality, present significant barriers for AI models built on tokenization. Furthermore, much of Africa’s history and culture is communicated visually or through storytelling - elements that current AI systems are poorly equipped to capture. Several Arabic LLMs have been developed, including Jais, a bilingual English-Arabic LLM developed by Inception in collaboration with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Cerebras systems, bridging the digital divide in the MENA region. MENA Observatory researcher, Basma Balabel, shared that academic institutions can use to prepare an up-to-date school curriculum with much less time and effort; however, while many other Arabic LLMs AraGPT, ArabicBERT, and Tashkeela “exist”, there is still very little EdTech content in Arabic, which partly stems from a shortage of local AI talent and represents a barrier to accessibility and inclusivity (UNESCO 2021).
 
4. Raising Awareness on Ethical AI Use Among Students
 
Given the rapid pace of digital transformation in the region’s education sector, raising awareness about the ethical dimensions of AI use among students is critical and unfortunately lacking. While younger generations are often enthusiastic about adopting new technologies, they are often unaware of the risks associated with data privacy and algorithmic biases that perpetuate existing inequalities, causing them to unwittingly accept AI-generated outputs as neutral or objective. In an article written by Maha Bali, long-time collaborator with the MENA Observatory, she summarized the potential causes for reasons students might use AI unethically, which include pressure to produce work quickly, lack of interest in the topic, increased senses of competition in comparison to their AI counterpart, and a lack of awareness regarding the potential harms of taking shortcuts. It is only by empowering students with the knowledge to navigate AI’s ethical landscape that KSA and the UAE can ensure their innovative approach to education serves the broader goals of equity, inclusion, and human development.
 
The GCC Needs to Adopt a Multi-Stakeholder Approach to AI Deployment
 
It is undeniable that AI is set to transform several industries, and the UAE and Saudi Arabia are at the forefront of AI integration in education in the MENA region. During the A2K4D’s webinar, “Women, Youth, and the Future of Work: Inclusion in Challenging Times,” in collaboration with Friedrich-Ebert- Stiftung (FES) Egypt, a lively debate highlighted the importance of education, enhancing human capital, and upgrading curriculato include “data science, digital literacy, and core entrepreneurial skills across all areas of study.” Motivated by the need to accommodate the rapid pace of technological change and its impact on the future of work, Dr. Rizk pointed out that, “Those already in the workforce are in urgent need of re-skilling and skills upgrades to suit ever-changing market demands.”
 
In pursuing this goal, the A2K4D has always advocated for adopting multi-stakeholder approaches to AI governance by collaborating with industry, academia, and civil society, in contrast to the GCC approach, which is predominantly government-led. During the inaugural “Political Economy of the Global South Conference," titled “Global Governance in Crisis: Breakdown or Breakthrough?”, organized under the "Pathways Beyond Neoliberalism: Voices from MENA" program and hosted by the School of Global Affairs and Public Policy at the American University in Cairo (AUC), participants focused on innovative teaching methodologies, faculty and student exchanges, and ongoing dialogue to share best practices. Commenting on the potential for AI to foster meaningful learning experiences that cater to the diverse needs of students in the region on a panel with Dr. Paula Jaramillo, Professor Rizk commented that, “the more engagement students have, the better they perform.” The session summarized that the key strategies needed for responsible integration of technology in classrooms include:

Facilitating Connections: Using technology to enhance communication among students and create opportunities for collaboration across institutions.
  • Employing Mixed-Methods Approaches: Combining online and face-to-face interactions to maximize engagement and enrich learning experiences.
  • Encouraging Critical Thinking: Teaching students to critically assess AI-generated content and develop robust questioning techniques.
As both Saudi Arabia and the UAE advance their AI education agendas, several questions arise for policymakers and educators:
  • How can AI systems be designed to ensure fairness and prevent bias in education outcomes?
  • What measures are in place to protect student data and privacy?
  • How can educators be empowered to integrate AI effectively?
  • How can equitable access to AI-enhanced education be ensured?
While both the UAE and KSA have demonstrated a strong political will, strategic investment, and promising steps towards responsible AI governance, the realization of the full potential of AI in education requires ongoing interrogations around ethical, cultural, and practical challenges. For policymakers, the lesson is clear: AI governance isn’t about stifling innovation, but about making sure that we “go back to our values” as we move to modernize education through technology, as Dr. Maha Mali so aptly put it in a Knowledge Unbound podcast.

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