In September, Riyadh hosted the 4th UNESCO Global Forum on the Ethics of Artificial Intelligence, organized by SDAIA with UNESCO and ICAIRE. Over four days, some 8,000 participants, with 194 countries represented, gathered to discuss how AI should be governed. Our team was there, and one message came through in almost every session.
The world has largely agreed on the principles. The hard part now is putting them into practice.
1. Principles are settled. Implementation is the gap.
UNESCO's Recommendation on the Ethics of AI has been the global reference point for several years. The tone in Riyadh had moved on from debating what good AI looks like to asking how to make it happen. SDAIA's leadership framed it clearly: turn shared principles into action, and make AI governance inclusive, accountable, and people-centered, adapted to each country's context.
For organizations, that shift matters. Having an AI ethics policy is no longer enough. The question is whether it changes how systems are designed, approved, and run.
2. Governance has to keep pace with the technology
UNESCO's leadership opened the forum by noting that AI is advancing at unprecedented speed while governance struggles to keep up. Agentic AI featured across the program, with sessions on its effects on the environment, gender equality, culture, and young people's wellbeing. When systems start to act rather than advise, annual policy reviews cannot keep pace. Oversight has to be built into how AI is delivered.
The question is no longer whether an organization has AI principles, but whether those principles change how its systems are built and run.
3. Readiness is becoming measurable
UNESCO launched an updated version of its Readiness Assessment Methodology, RAM 2.0, alongside a global analysis of AI governance trends and a new AI Environment Toolkit. The methodology has already been used with 58 countries to shape national AI strategies. The direction is clear: readiness is something to assess and evidence, not just declare. We expect the same expectation to reach organizations, as regulators and boards ask for proof rather than intent.
4. The scope of responsible AI is widening
Responsible AI used to mean fairness, transparency, and privacy. Riyadh broadened the frame to include environmental impact, inclusion, culture, and mental health. Organizations should expect questions about the energy footprint of their AI, who it serves well and who it leaves out, and how it affects the people who use it.
What this means for organizations in the Kingdom
Hosting the forum reinforced the Kingdom's role as a convener in global AI governance, in the same year it has named the Year of Artificial Intelligence. For organizations here, the practical implication is straightforward: expect AI governance to be judged on what you can show, not what you have written down.
That means knowing which AI systems you run and who owns them, assessing risk before deployment, building oversight into how agents and models operate, and keeping the evidence to prove it. The principles discussed in Riyadh are the destination. Getting there is an engineering and operating-model challenge as much as a policy one.
For a closer look at governing AI that acts, read our insight on governing agentic AI before it reaches operations.
WISE Advisory helps organizations turn AI principles into practice, through strategy, engineering, and governance tailored to each business. To continue the conversation, reach us at info@wise-advisory.com.