UN Chief Calls for Science-Based AI Governance at Global Summit

When António Guterres took the stage at the AI Impact Summit in New Delhi this week, he didn’t mince words. “We are barrelling into the unknown,” the UN Secretary-General told assembled leaders. “AI innovation is moving at the speed of light—outpacing our collective ability to fully understand it, let alone govern it.”

The remarks came at a pivotal moment for international AI policy. As nations race to develop increasingly powerful artificial intelligence systems, the question of how to govern them has become urgent. Guterres’s message was clear: the time for guesswork is over.

“If we want AI to serve humanity, policy cannot be built on guesswork. It cannot be built on hype or disinformation. We need facts we can trust—and share—across countries and across sectors—less noise, more knowledge.” — António Guterres, UN Secretary-General

The Scientific Panel Taking Shape

At the heart of Guterres’s vision is the Independent International Scientific Panel on Artificial Intelligence, a body designed to close the AI knowledge gap and assess real impacts across economies and societies. The General Assembly has now confirmed 40 experts selected by the Secretary-General to serve on the panel.

The panel’s mandate is ambitious: deliver a first report ahead of the Global Dialogue on AI Governance in July. This timeline reflects the urgency of the moment. The goal is to provide member states with a shared baseline of analysis—moving conversations from philosophical debates to technical coordination.

Independence and diversity are core principles. The panel is designed to be fully independent, globally diverse, and multidisciplinary. This matters because AI touches every area of every society—from healthcare to labor markets, from education to criminal justice.

From Rough Measures to Risk-Based Guardrails

Guterres framed science-led governance not as a brake on progress, but as an accelerator for solutions. The idea is to move from blunt instruments that might stifle innovation to smarter, risk-based guardrails that protect people while giving businesses clarity.

“Science-led governance is not a brake on progress. It is an accelerator for solutions. A way to make progress safer, fairer, and more widely shared.” — António Guterres

The approach emphasizes understanding what AI systems can do—and what they cannot. This knowledge enables guardrails that uphold human rights, preserve human agency, and build confidence in AI systems. For businesses, clear standards mean they can innovate with greater certainty about regulatory expectations.

The Fragmentation Problem

One of Guterres’s sharpest warnings concerned the risk of policy fragmentation. In an era of strained trust and growing technological rivalry, different regions operating under incompatible policies and technical standards could create serious problems.

A patchwork of rules would raise costs, weaken safety, and widen divides between nations. Science, Guterres argued, offers a universal language that can help align technical baselines across borders. When countries agree on how to test systems and measure risk, they create interoperability.

The practical implications are significant. A startup in New Delhi could scale globally with confidence because benchmarks are shared. Safety standards could travel with the technology, rather than creating barriers at every border.

Human Control as a Technical Reality

Perhaps the most important message was about human oversight. Guterres insisted that human control must become a technical reality, not just a slogan. This requires meaningful human oversight in every high-stakes decision—in justice, healthcare, credit, and other critical domains.

Clear accountability is essential. Responsibility can never be outsourced to an algorithm. People must understand how decisions are made, have the ability to challenge them, and receive answers when they do.

The panel’s work will help identify where AI can do the most good fastest, while helping anticipate impacts early—from risks for children to labor market disruptions to manipulation at scale. This early warning capacity could prove crucial as AI capabilities continue to advance rapidly.

The Road to July

With the expert panel confirmed and work beginning on the first report, the timeline is tight. The Global Dialogue on AI Governance in July will be a critical milestone. Success would mean establishing a shared foundation for international cooperation on AI at a time when such cooperation is desperately needed.

The stakes extend beyond any single technology. As Guterres put it, the goal is to transform AI from a source of uncertainty into a reliable engine for the Sustainable Development Goals. Whether that vision becomes reality depends on what happens in the months ahead.

This article was reported by the ArtificialDaily editorial team. For more information, visit United Nations Press Release.