DCO Launches Ethical AI Guidebook With Saudi Backing at UN Geneva Dialogue
The Digital Cooperation Organization, working with Saudi Arabia's SDAIA and ICAIRE, has launched an Ethical AI Guidebook at the UN's first Global Dialogue on AI Governance. It gives policymakers practical tools to turn AI principles into national law, with Riyadh central to shaping it.
Key Takeaways
- ▸DCO launched an Ethical AI Guidebook for Policymakers with SDAIA and ICAIRE at the UN's first Global Dialogue on AI Governance in Geneva.
- ▸The guidebook is built on the DCO's Principles for Ethical AI and Saudi Arabia's Riyadh AI Call to Action Declaration.
- ▸It gives governments practical tools to convert AI principles into national policy, legislation, and regulatory frameworks.
- ▸Saudi Arabia, through SDAIA, continues to play an active role in shaping international AI governance frameworks rather than only adopting them.
Most AI governance discussions still live at the level of principle: responsible, trustworthy, inclusive. A new publication launched this week is aimed squarely at the gap between agreeing on those words and actually writing them into law, and Saudi Arabia sits at the centre of it.
The Digital Cooperation Organization launched its Ethical AI Guidebook for Policymakers during a high-level session in Geneva, held in partnership with Saudi Arabia's Data and AI Authority and the International Center for Artificial Intelligence Research and Ethics. The session, titled Responsible, Trusted, and Safe AI for Prosperity: From Principles to Practice, took place on the sidelines of the first United Nations Global Dialogue on Artificial Intelligence Governance, a new UN process convened to build international consensus on how AI should be regulated. It joins a growing circuit of international AI governance summits that has expanded rapidly over the past two years, and where Gulf states have moved from attendee to host and co-chair.
DCO Secretary-General Deemah AlYahya framed the gap the guidebook is meant to close in blunt terms. Speaking at the session, she said the architecture of the AI age is being drawn now, and that more than half the world's nations are not holding the pen. Her point was not that governments disagree on principles. It is that most lack the institutional capacity to convert agreed principles into enforceable policy, legislation, and regulatory frameworks, and that the guidebook exists to hand them practical tools rather than another statement of values.
The document itself is built on the DCO's existing Principles for Ethical AI and the Riyadh AI Call to Action Declaration, positioning Saudi-originated frameworks as the foundation for a tool now being offered to a much wider international audience. It sits alongside other instruments the DCO has already built, including its AI Ethics Evaluator and the Digital Economy Navigator, both designed to help governments assess AI readiness and make evidence-based policy decisions rather than reactive ones.
For Gulf observers, the more interesting story is less the guidebook's content and more who is positioned around it. The DCO, founded in 2020, represents sixteen member states with a combined GDP of nearly 3.5 trillion dollars, and its leadership and founding framework are heavily Saudi-anchored. SDAIA's co-sponsorship of this specific session extends a pattern that has been visible elsewhere this year, where Gulf states have taken an active hand in shaping the rules of AI governance internationally rather than simply adopting frameworks written elsewhere. The UAE's own move to host the 2028 global AI Summit and co-chair the 2027 edition in Geneva sits in the same lane: both Gulf states are positioning themselves as authors of the international AI governance agenda, not just participants in it.
The guidebook itself is publicly available directly from the DCO. For compliance and policy teams tracking where GCC AI regulation is heading, it is worth treating less as a one-off announcement and more as an early signal of the direction Saudi-influenced AI governance frameworks are likely to take as they move from principle to enforceable rule over the next cycle of national AI strategy updates.
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