Who gets to shape AI? UN debate centres on power, trust and inclusion

AI Governance Takes Centre Stage at the United Nations

Provpnmatrix.com – Artificial intelligence is advancing rapidly, but the central political question is becoming harder to ignore: who will decide how these tools are designed, deployed and shared? During the United Nations High-Level Week in New York, leaders broadly embraced AI’s potential while exposing sharp differences over power, safety and inclusion.

Many governments see artificial intelligence as a means to improve health care, scientific research, public services and economic opportunity. At the same time, they are concerned that poorly governed systems could eliminate jobs, amplify inequality, spread harm or place too much influence in the hands of a small number of companies and countries.

UN Secretary-General António Guterres described the stakes in clear terms:

“AI is indeed a game changer — with enormous promise to advance medicine, accelerate scientific discovery, expand opportunity, and improve lives.”

The debate did not centre on whether innovation should continue. Instead, it focused on the conditions under which innovation can serve people widely, with meaningful oversight and international cooperation.

Innovation and safeguards must move together

Khalilur Rahman, President of the General Assembly, argued that AI should remain a force for human advancement rather than being constrained by fear. He said the technology could accelerate progress and stressed the importance of keeping innovation open. Yet he also warned of possible job displacement and wider digital divides, calling for protections shaped by scientific evidence.

“AI can be a powerful accelerator of human progress; therefore, we must not close the door to innovation.”

Several countries approached that balance from different angles. Switzerland stressed that regulation should build public confidence while preserving the benefits AI can bring. Japan highlighted the value of working together on the safety of the most advanced systems. Saudi Arabia emphasized ethical and responsible deployment, while Singapore supported testing, trust-building measures and international reporting of AI-related incidents.

Singapore also drew attention to systems with increasing autonomy, an area where decisions may be made at speed and with limited human intervention. That concern reflects a wider view that technological capability alone is not an adequate basis for public trust.

“The danger is not technology. The danger is technology without accountability: Capability without oversight. Decision-making without transparency.”

For people outside policy discussions, these arguments have practical meaning. Rules governing AI can affect whether a medical tool is reliable, whether a worker is treated fairly by an automated system, and whether public institutions can explain the decisions they make with technology.

Promises for public life, alongside disruption

The United Kingdom pointed to opportunities including faster cancer diagnosis, stronger public services and economic renewal. India presented AI as a potentially powerful tool for development, with applications that could support people, prosperity and solutions at population scale.

“We view AI as a transformational driver, for human empowerment, economic prosperity and population-scale problem solving.”

But enthusiasm was accompanied by caution. The United Kingdom acknowledged that AI could alter how people work and live while increasing certain risks. Its position was that decisions of fundamental importance should remain under democratic control.

“Fundamental decisions on this technology are too important to be left to chance. They must be taken by elected governments who serve working people.”

This concern reaches beyond the technology sector. The way AI is introduced into workplaces, schools, hospitals and public services could determine whether it broadens opportunity or reinforces existing disparities. Effective governance is therefore not only about preventing catastrophic outcomes; it is also about ensuring that the gains are available to communities that might otherwise be excluded.

Access is not the same as influence

A recurring theme was the difference between using AI tools and having a real role in shaping their future. South Africa argued that African countries must participate in writing the rules, connecting that ambition to research, young people and economic transformation. Switzerland made a related case: inclusion should mean a place in governance, not simply access to finished products.

India stressed that countries should be able to build AI ecosystems consistent with their own priorities.

“We believe in the right of each nation, to shape its eco-system, with the development of its own models, and deployment strategies, consistent with its national goals and priorities.”

China called for technological progress to be distributed more widely rather than concentrated in a limited group of societies or states.

“We should take a people centered approach and develop AI for the positive and for good, narrow the digital divide and promote development that is universally beneficial.”

The underlying challenge is substantial. Building and operating advanced AI can require extensive data resources, powerful computing capacity, skilled technical workers and dependable infrastructure. Countries without these resources risk becoming long-term consumers of systems developed elsewhere, with less ability to influence the standards, languages, cultural assumptions and priorities embedded in them.

A larger role for international cooperation

Singapore suggested that a future UN framework convention and a dedicated international AI institution could help give all countries a voice, rather than limiting leadership to the earliest or best-resourced adopters. Such proposals point toward a governance model in which common safety expectations and information-sharing can cross borders.

The United Nations has already begun creating spaces for this work, including an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance. These initiatives address a basic reality: AI systems and their effects do not stop at national borders, particularly when they influence markets, information flows and essential services.

Power concentration remains one of the most difficult issues. Brazil raised concerns about the influence wielded by major technology firms, while France warned against dependence on dominant states or a small number of private companies. Developing countries have called for greater access to computing resources, technical expertise and infrastructure so they can take a fuller part in digital development.

The debate in New York made one point unmistakable. AI’s future will not be defined solely by technical breakthroughs. It will also be shaped by choices about accountability, representation, democratic authority and who has the capacity to participate. The challenge for governments is to make sure the next phase of AI development expands human opportunity without leaving entire communities and countries outside the room where the rules are written.