Artificial intelligence, which we've heard so many times from the podium this week, is arguably the most urgent frontier AI offers with extraordinary potential, but its capability is advancing faster than our appreciation of its risks. There are fundamentally three categories of risk. First, the loss of control of autonomous systems. Second, that rogue actors could use AI to create bioweapons or other weapons of mass destruction or mass disruption. Third, the economic, the social the political. Domestic disruptions are only just emerging. But excellencies, the genie is already out of the bottle. It is too late to call for a halt, especially given the superpower rivalry and the huge financial incentives for companies who already have frontier models. But let me offer a metaphor of driving a high performance car to drive a high performance car quickly and safely. You need a powerful engine. But equally, you need good brakes. And especially if you are going to go beyond your neighborhood or cross boundaries, you need effective shared rules, traffic lights, insurance norms of behavior, seat belts. The engine is innovation. Every one of us has to continue to invest in science, the talent, and the infrastructure that will drive AI forward. For small states. This entails especially developing our people, equipping them with the skills necessary to master and deploy AI quickly, widely, at scale and safely. The real productivity gains from AI comes not from the IT department, but from our businesses and workers having the skills, the tools and the wherewithal to engineer their work processes. Workflow by workflow. It is. That's where the cutting edge of value creation arises. But having said that, every powerful engine needs good brakes, safeguards as the capabilities of AI advance, our safeguards must keep pace. We need rigorous testing and evaluation before deployment. We need clear limits on what autonomous systems can do and mechanisms to intervene when they behave in ways we do not intend. And since the risks from AI do not remain confined behind borders, it means we also need rules of the road that will form a shared global understanding of how we will collectively confront this challenge. Just as all of us instinctively understand traffic lights the same way, whether we're here in New York or in Beijing, Moscow or Singapore. Most importantly, human beings must ultimately remain in control and accountable. Let me give you an extreme thought experiment. Do you want the nuclear button to be in the hands of a human being or an AI? Think about that. The scarce resource today is not legal architecture or technology. It is trust. Trust that the risks will be disclosed, that testing will be comprehensive and credible, and that cooperation will be inclusive and not be used to secure unilateral advantage. The technology has already become an arena for strategic competition precisely when international cooperation is most needed. Any durable international approach must give all states, all states a meaningful stake. Not only those who already have the most advanced models, or the deepest pockets, or the largest set of armaments. So the question is how do we build trust? We begin with the science. Even where states have differences on governance, I believe it is possible for us to work together to collectively understand the capabilities and risks of AI models, to develop comparable methods for testing and evaluation, and to report serious incidents quickly across borders. We are not starting from zero. If you carefully go through what we already have today, the UN's Independent International Scientific Panel on AI already helps to establish a common understanding based on evidence The global dialogue on AI governance can help to translate that common understanding into common objectives, and the Itu's AI for Good Global Commission brings together leaders from government, industry and international institutions to discuss challenges and to come up with practical solutions. We must urgently establish common rules and safeguards for AI, and we should build on the many ongoing discussions in different formats and groupings And here I want to make a point The UN, the United Nations has a critical role to play in building convergence, because this is the only apex international institution with universal membership. We must explore all options, including the idea of a UN framework Convention on AI safeguards. We may also need an international institution that can perform for AI some of the functions that currently exist for institutions that perform this. This function of setting common technical standards and the examples are the International Telecommunications Union, which provides all the International Atomic Energy Agency, which provides verification. Ultimately, the global Commons are best protected by collective action agreed through an inclusive process, and Singapore commits to contribute where we can. This week we joined the call for greater safety and security of frontier AI models, and I'm glad that this was led by Finland and Norway. We will continue to contribute through platforms such as the Digital Pillar for the Forum of Small States, and by making our governance frameworks and testing tools available to all. But the work of building trust and laying the ground for global cooperation must begin now.