SDAIA and OECD Partner to Monitor AI Incidents Across the Middle East
The Saudi Data and AI Authority (SDAIA) has entered into a strategic partnership with the Organization for Economic Co-operation and Development (OECD) to strengthen how AI incidents are tracked in the Middle East. The effort centers on integrating Arabic-language data into the OECD AI Incidents Monitor (AIM), making monitoring and reporting faster, clearer, and more useful to decision-makers. In practice, that means seeing issues sooner—and in the languages people actually use.
Signed at the Global AI Summit
The Memorandum of Understanding (MoU) was formalized during the third edition of the Global AI Summit (GAIN) in Saudi Arabia. The summit brings together leaders, researchers, and industry voices from around the world to examine emerging strategies and trends in AI. Signing the MoU on that stage underscores the initiative’s global relevance and gives it momentum.
Building Stronger AI Monitoring Capabilities
The collaboration is designed to expand the region’s capacity to monitor AI, from spotting risks to documenting how incidents unfold. By partnering with local organizations, the initiative aims to surface more detailed, on-the-ground reports instead of high-level summaries. It also connects the OECD’s extensive resources—including a repository of more than 1,000 AI policies from 70 countries—with lessons drawn from the Middle East, adding context that’s often missing. Together, these inputs can deepen and broaden incident reporting across the region.
Contributing to Global AI Metrics
The partnership also supports a wider push to collect and share AI metrics globally. When countries swap evidence instead of anecdotes, they’re better equipped to navigate both the opportunities and the challenges that AI presents. Comparable measures make it easier to learn from one another, helping decision-makers adopt balanced, well-informed approaches to AI development and deployment.
What the OECD AI Incidents Monitor (AIM) Does
The OECD AI Incidents Monitor (AIM) is a practical reference for cataloguing incidents and hazards tied to AI systems. It compiles data and insights for policymakers, AI developers, and international stakeholders, highlighting risks and potential harms. By revealing patterns across cases, AIM helps the community spot emerging issues early and build a more consistent, shared understanding of AI-related incidents worldwide.
Closing Data Gaps in the Middle East
Despite strong interest in AI regulation across the region, reliable data on AI incidents and associated policies in Arabic remains limited. Through this MoU, Saudi Arabia intends to address that gap directly. In partnership with the OECD, SDAIA will work to upgrade monitoring and reporting on AI policies so Arabic-speaking countries can engage more fully with—and benefit from—the growing global AI framework.
A Shared Vision for AI’s Next Chapter
As countries in the Middle East accelerate their AI programs, aligning with international standards becomes essential rather than optional. The agreement strengthens local reporting capabilities while linking them to a global network of knowledge and practice. The aim is straightforward: reinforce trust in AI as it becomes part of everyday life, and encourage innovation that’s responsible and genuinely useful. Steady, shared visibility can make that possible.
Frequently Asked Questions
What’s the main goal of the MoU between SDAIA and the OECD?
The MoU is meant to enhance AI incident monitoring in the Middle East by integrating Arabic-language data into the OECD AI Incidents Monitor (AIM), improving how incidents are tracked, reported, and understood.
Where was the MoU signed?
It was signed at the Global AI Summit (GAIN) in Saudi Arabia, an international gathering that convenes leaders, experts, and industry figures to discuss AI strategies and trends.
Why is the OECD AI Incidents Monitor important?
AIM catalogues AI-related incidents and hazards, providing data and insights for policymakers, developers, and global stakeholders. It helps identify risks, spot emerging patterns, and support consistent understanding across countries.
How does this partnership address regional needs?
By working with local entities and the OECD, the partnership seeks to fill data gaps on AI incidents and policies in Arabic, improving monitoring and reporting so Arabic-speaking nations can engage more effectively with global AI efforts.
What outcome does the collaboration ultimately aim for?
The collaboration aims to build trust in AI systems that align with international standards while supporting responsible, regionally grounded AI development and stronger global collaboration.
