SDAIA rejects the unified AI governance model: risk-management tools precede principle charters
When the voices of senior leaders of major global tech companies rose, warning about the rapid development of advanced AI technologies and repeatedly calling to curb and rationalize this expansion, the response from Riyadh was decisive in steering the international debate. At the opening of UNESCO's fourth World Forum on AI Ethics, the head of the Saudi Data and AI Authority, Dr. Abdullah bin Sharaf Al-Ghamdi, announced that the current stage requires moving from merely agreeing on shared principles to strict practical implementation, through actionable policies and effective risk-management tools that institutions on the ground possess.
This shift puts an end to reliance on the structural data that have dominated international forums for years, as Al-Ghamdi identified three pillars to lead the phase: drafting field-implementable policies, developing practical tools for technical risk management, and building institutional capacities that enable each country to translate these standards within its own reality. The clearest message the platform conveyed was a rejection of imposing a uniform regulatory model on all nations; starting from shared general principles does not eliminate the need to respect each society’s priorities and cultural particularities, while opening the door for sharing expertise and tools instead of copying ready-made legislation that might hinder local development pathways.
Sound governance should not be separated from technical empowerment.This equation, emphasized by Al-Ghamdi, captures the essence of the new approach; imposing strict constraints and controls in isolation from providing infrastructure, training national talent, and making data available inevitably leads to stifling innovation and weakening the economic return from technology adoption. From that standpoint, 2026 saw Saudi Arabia launch the National AI Risk Management Framework and inaugurate the AI Ethics Marks, integrating risk management directly into the digital model lifecycle and its adoption across various sectors, so that governance becomes a catalyst for trustworthy adoption rather than a delayed bureaucratic obstacle.
We see this approach directly reshaping the priorities of the technical officer and systems manager in Gulf, Egyptian, and Levant markets, demanding a realistic review of annual work plans. Relying on formal compliance charters or borrowed legal texts is no longer sufficient; the institutional landscape is moving toward imposing practical examinations of risk-assessment tools, testing model bias levels, and ensuring algorithmic architecture aligns with national regulatory frameworks before deployment in sensitive work environments such as banks, healthcare institutions, and government services.
Risk management is shifting from a procedural luxury to a mandatory condition for system adoption and operation in institutional environments.This means that the most in-demand competencies in regional markets in the coming period will not be limited to model building, but will also include specialists capable of auditing systems, testing data security, and measuring operational risk based on established governance frameworks, which raises the cost of neglecting these standards when assembling new digital teams.
SDAIA's call to confine international cooperation to building institutional capacities rather than exhausting efforts in recurring theoretical dialogues draws a decisive line in the path of regional digital sovereignty. Global initiatives will not benefit emerging markets if they remain within the orbit of general recommendations; their value lies in helping countries acquire measurement and oversight tools that protect their independent technical decisions without ceding national priorities or subjecting their infrastructure to external edicts.