Nearly every major international meeting on science and technology in Geneva this summer arrived at the same conclusion from a different direction.
The International Labor Organization adopted the first global convention on platform work, extending international labor standards into an economy shaped by algorithms rather than traditional employers. The incoming secretary general of the Inter-Parliamentary Union argued that national legislatures could no longer leave artificial intelligence to technical specialists because it was starting to reshape democratic participation itself.
The United Nations convened its first Global Dialogue on Artificial Intelligence Governance as governments, researchers, companies and civil society groups debated how AI should be governed. At the AI for Good Global Summit, humanitarian agencies demonstrated how machine learning and satellite imagery were helping assess disasters, monitor displacement and improve emergency response.
Leonardo Cervera Navas, secretary general of the European Data Protection Supervisor, argued that governance should ultimately serve to protect health, safety, privacy and fundamental rights. Comparing AI to humanity’s earliest transformative technology, he said societies learned to benefit from fire only by establishing rules for its safe use and constant supervision.
“The E.U. embraces this technology and its potential for advancing science and general well-being,” he said. “And the fact that it comes with some clear risks does not mean that we should oppose AI.”
More than 200 economists, technology executives and researchers warned days later that artificial intelligence could transform the global economy on a scale larger than the Industrial Revolution, but over a far shorter period.
All these conversations, held in different institutions for different purposes, pointed to the same conclusion: International organizations are confronting technologies with scientific capabilities, economic consequences and political effects that are changing faster than the institutions built to understand and govern them.
The challenge is as much about time as it is about artificial intelligence.
Opening the Global Dialogue, U.N. Secretary-General António Guterres said AI is advancing at “runaway speed” and asked whether governments would shape the technology or allow it to shape them.
"A technology that can reshape economies, transform the world of work, sway elections, and tilt the balance of security is being deployed faster than anyone, including the people building it, can keep up,” he told delegates in Geneva.
The Independent International Scientific Panel on Artificial Intelligence reached a similar conclusion in different language. Its report argued that evaluation methods, oversight mechanisms and governance frameworks were failing to keep pace with the systems they were intended to assess. But the observation extends beyond AI.
International institutions have always operated on the assumption that evidence could be gathered, experts could evaluate it, governments could negotiate, and implementation would follow. That assumption rarely attracted much attention because scientific discovery, political negotiation and institutional adaptation generally moved at compatible speeds. The sequence was often messy and political, but it generally unfolded over years rather than months.
Scientific advances now routinely enter society before regulatory systems are fully formed. Legislatures debate technologies already deployed at scale. International negotiations begin after commercial markets have moved ahead.
Several of the institutions meeting in Geneva offered different responses to that pressure. The ILO chose to adapt existing principles rather than invent an entirely new system. Its platform work convention does not settle every legal question surrounding gig work, but it establishes international standards for employment relationships that did not exist when many labor conventions were written.
The issue was not simply digital technology but whether institutions created for one economy could respond quickly enough to another. “Platform companies have built a business model that sidesteps labor protections and shifts risks and costs onto the workers,” said Lena Simet, a senior economic justice advisor at Human Rights Watch. “The ILO negotiations are the first global effort to get governments to course correct and ensure that using this model does not come at the expense of workers’ rights.”
The Inter-Parliamentary Union approached the same issue in terms of democratic governance. Incoming IPU chief Anda Filip argued that parliaments must become more active participants in AI governance because decisions about artificial intelligence now affect representation, elections and public trust as much as they affect software engineering.
“This is clearly not just a technological issue, it also has to do with democracy, because it deters good candidates, especially young women, from entering politics,” said Filip, the first woman and the first Eastern European to lead the organization in its 137-year history.
Her argument suggested that legislatures were being asked to develop expertise in fields that barely existed when many parliamentary procedures were established.
Humanitarian organizations confronted the same problem from an operational perspective. The World Food Program and the U.N. refugee agency demonstrated how AI can shorten the time needed to assess damage after disasters or identify emerging humanitarian needs. Neither organization suggested that algorithms should replace human judgment. Instead, they treated AI as a way to accelerate information while preserving responsibility for the decisions that follow.
Their work suggests that pressure on global governance no longer comes only from geopolitics or financial constraints but also from the pace at which scientific and technological change now unfolds.
Those questions are beginning to shape how institutions think about governance itself. For the Inter-Parliamentary Union, they point toward a larger role for national legislatures as governments develop new regulatory frameworks.
That was reflected in Filip’s conclusions as the IPU geared up to participate in the unusual series of international AI meetings in Geneva over the summer, where governments, international organizations, researchers and technology companies debated how artificial intelligence should be governed.
“More and more we are hearing that the only option going forward is to regulate,” she said, arguing that lawmakers increasingly need opportunities to exchange legislative experience as governments develop AI governance frameworks.
“We have regulations on tobacco, on alcohol consumption,” she said. “This is how we are trying to raise awareness, to encourage action, and to try to get the MPs to play a much more proactive role in tackling the challenges and the risks associated with AI.”
The issue goes well beyond artificial intelligence. International institutions always balanced speed against legitimacy, scientific evidence against political negotiation, and technical expertise against democratic accountability. Those tradeoffs have become more difficult as technological change compresses the time available for each stage of governance.
Governance cannot solve that problem simply by moving faster. Some decisions demand speed; others require consultation, evidence and political legitimacy. The challenge is deciding which processes can be accelerated, which must remain deliberate, and where human judgment cannot be delegated.