Geneva at the centre of AI governance: Where technology, diplomacy, and humanity converge

Geneva’s growing role in the AI era

As AI reshapes economies, societies, and governance systems worldwide, Geneva is increasingly emerging as one of the most important global centres for discussions on the future of digital technologies.

In a recent interview, Diplo Executive Director Jovan Kurbalija described Geneva as a place where multiple dimensions of AI governance intersect. From technical standards and international trade to human rights, humanitarian action, and diplomacy, the city hosts institutions and processes that shape how digital technologies are developed, governed, and used worldwide.

According to Kurbalija, a significant share of global discussions on AI and digital governance takes place within a relatively small area surrounding Geneva’s international district. The concentration of international organisations, diplomatic missions, standards-setting bodies, and expert communities has positioned the city as a unique meeting point for addressing the opportunities and challenges associated with AI.

A hub for global digital governance

Geneva’s importance in digital governance stems largely from the presence of international organisations whose work directly affects the digital ecosystem.

Among them is the World Trade Organization (WTO), which plays a role in shaping the global rules governing trade, supply chains, e-commerce, and the international movement of goods and services that underpin the digital economy. Decisions and discussions within the WTO influence the broader environment in which digital technologies are produced, exchanged, and deployed.

Another key institution is the International Telecommunication Union (ITU), the UN specialised agency for information and communication technologies. ITU has long served as a forum for international cooperation on telecommunications and digital technologies, and today plays an increasingly prominent role in discussions related to AI and digital governance.

Geneva is also home to major international standards organisations, including the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). These organisations develop technical standards that enable digital devices, networks, and systems to function together across borders and industries.

Although often invisible to users, technical standards play a fundamental role in ensuring interoperability, connectivity, and trust in digital systems. As AI technologies become more integrated into everyday life, standards are expected to play an increasingly important role in areas such as safety, transparency, and accountability.

From Frankenstein to AI: Geneva’s intellectual legacy

Kurbalija also highlighted a less visible but equally important dimension of Geneva’s role in AI governance, its intellectual and historical heritage.

He referred to what Diplo describes as the EspriTech de Genève, the intersection between technological developments and ideas that have emerged from thinkers associated with Geneva throughout history.

One of the most notable examples is Mary Shelley, who wrote Frankenstein near Lake Geneva in 1816. Often regarded as one of the earliest works of science fiction, the novel explores the relationship between creators and their creations, raising questions about responsibility, unintended consequences, and the limits of human control.

More than two centuries later, similar questions continue to shape contemporary debates on AI governance. Discussions surrounding increasingly capable AI systems frequently return to concerns about human oversight, accountability, and the potential consequences of technologies that may act in ways not fully anticipated by their creators.

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Kurbalija also pointed to the work of Argentine writer Jorge Luis Borges, whose reflections on knowledge, information, and human cognition continue to resonate in an era characterised by large-scale data processing and machine-generated content.

The intellectual traditions associated with Geneva provide a broader context for understanding contemporary AI debates, linking present-day governance questions to longer-standing discussions about technology, knowledge, and humanity.

Geneva as a centre for AI diplomacy

Beyond its historical and institutional significance, Geneva has become an increasingly active venue for international discussions on AI governance.

The city hosts a growing number of meetings, conferences, and policy dialogues dedicated to the governance of AI and other emerging technologies. Among the most prominent is the annual AI for Good Summit, organised by ITU in partnership with other UN agencies and stakeholders. The event brings together governments, international organisations, researchers, private sector representatives, and civil society to explore the societal implications of AI and identify opportunities for international cooperation.

Geneva also hosts a range of other initiatives focused on AI governance, including policy dialogues, expert consultations, and multistakeholder discussions addressing issues such as human rights, health, humanitarian action, sustainable development, trade, and technical standards.

Geneva
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According to Kurbalija, AI is now on the agenda of many international organisations based in Geneva. Whether addressing healthcare, humanitarian assistance, trade, education, telecommunications, or development, institutions increasingly examine how AI affects their respective mandates and policy objectives.

This growing presence reflects the recognition that AI is not solely a technological issue. Instead, it spans multiple policy domains, requiring coordination among technical experts, policymakers, diplomats, regulators, and affected communities.

Reducing ‘lost in translation’ in AI governance

As AI discussions become more widespread, one challenge frequently identified by policymakers and international organisations is the gap between technological developments and policy understanding.

Kurbalija argues that many stakeholders remain ‘lost in translation’ when trying to understand the implications of AI. Technical terminology, rapidly evolving technologies, and complex governance debates often create barriers for diplomats, policymakers, and officials who are expected to make decisions about AI despite not having technical backgrounds.

To address this challenge, Diplo combines research, capacity development, and practical experimentation.

The organisation conducts research on both the historical roots of AI-related thinking and contemporary governance challenges. At the same time, it develops tools and educational programmes designed to help policymakers better understand the technology and its implications.

A central component of this effort is Diplo’s AI Apprenticeship programme.

Rather than teaching AI solely through theory, the programme encourages participants to learn by building AI applications themselves. Diplomats and officials from different countries work directly with AI tools, gaining practical experience with concepts such as neural networks, large language models (LLMs), and AI systems development.

According to Kurbalija, direct engagement with AI technologies allows participants to move beyond abstract discussions and develop a more practical understanding of how these systems function and where their limitations lie.

Where technology meets humanity

Kurbalija described Geneva as a place where several distinct but interconnected forces converge.

The first is the technological dimension, represented by organisations working on telecommunications, standards, digital infrastructure, and emerging technologies.

The second is the historical and intellectual dimension, reflected in the ideas of thinkers associated with Geneva and the broader region, whose work continues to inform contemporary discussions about technology and society.

Geneva
Image via Freepik

The third is the diplomatic dimension. Geneva remains one of the world’s most active centres of multilateral diplomacy, hosting permanent missions and representatives from nearly every country. Discussions in Geneva frequently shape global approaches to issues ranging from trade and humanitarian affairs to digital governance and AI.

The fourth is what Kurbalija describes as the human dimension. Many Geneva-based institutions focus on protecting and advancing human welfare through work on human rights, humanitarian action, health, labour, migration, and development.

Together, these dimensions create an environment in which technological innovation can be discussed alongside its social, ethical, economic, and political implications.

Looking ahead

As governments, international organisations, and societies continue to grapple with the opportunities and risks associated with AI, Geneva’s role as a centre for digital governance is likely to become increasingly significant.

The city’s unique combination of technical expertise, standards-setting institutions, diplomatic networks, and human-centred governance traditions provides a platform for addressing complex questions that no single actor or sector can solve alone.

For Kurbalija, this convergence of technology, diplomacy, and humanity represents one of Geneva’s defining characteristics. In a period marked by rapid technological change and growing uncertainty, the city continues to serve as a place where different perspectives can meet to shape the future of AI governance.

As debates around AI evolve, Geneva is likely to remain one of the key venues where those discussions are translated into international cooperation, governance frameworks, and practical solutions with global impact.

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Google launches Gemini for Science AI research tools

Google has introduced Gemini for Science, a collection of AI experiments and tools designed to support scientific discovery across research fields.

The initiative includes three experimental tools on Google Labs. Hypothesis Generation, built with Co-Scientist, helps researchers define research challenges, generate hypotheses and evaluate them through a multi-agent process. Google said the tool uses an ‘idea tournament’ in which agents generate, debate and assess possible research directions, with claims supported by clickable citations.

Computational Discovery, built with AlphaEvolve and Empirical Research Assistance, is designed to generate and score large numbers of code variations in parallel. Google said the prototype could help scientists test modelling approaches in areas such as solar forecasting and epidemiology.

Literature Insights, built with NotebookLM, searches scientific literature and organises results into structured tables for side-by-side analysis. Researchers can use it to identify research gaps, synthesise findings across papers and create outputs such as reports, slide decks and audio or video overviews.

Google said access to the experiments will open gradually through Google Labs. The company is also bringing related capabilities to enterprise organisations through Google Cloud, with partners testing tools for pharmaceutical research, crop science, supply chain optimisation and work linked to the US Department of Energy’s Genesis Mission.

As part of Gemini for Science, Google is also launching Science Skills, a bundle that integrates more than 30 life science databases and tools, including UniProt, the AlphaFold Database, AlphaGenome API and InterPro. Google said the tools can support workflows such as structural bioinformatics and genomic analysis on agentic platforms such as Google Antigravity.

The company said it is working with more than 100 institutions to validate its scientific AI systems and has created a trusted tester community that includes PhD students, industry researchers and Nobel laureates.

The launch shows how major AI developers are moving from specialised scientific models towards broader agentic tools that support hypothesis generation, literature analysis and computational testing.

Why does it matter?

Gemini for Science points to a wider shift in AI-assisted research: AI systems are moving beyond literature search or single-task modelling towards multi-step scientific workflows. Such tools help researchers navigate large bodies of literature, test computational ideas faster and identify new hypotheses. But their value will depend on evidence quality, reproducibility, peer review and clear limits around what AI-generated scientific suggestions can and cannot prove.

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Oxford researchers develop AI tool to map hidden effects of high blood pressure

Researchers led by the University of Oxford have developed an AI tool called ‘HyperScore’ that could help doctors better understand how high blood pressure affects different organs and individuals in different ways. The approach could support more personalised treatment strategies in the future.

Using the AI tool, researchers identified six distinct patterns of hypertension-related disease by analysing hundreds of measurements, including cardiac imaging, brain MRI scans, blood tests and assessments of the kidneys, liver and vascular system.

The study found that individuals with higher HyperScores faced a greater risk of future cardiovascular events, even when conventional blood pressure measurements did not fully capture that risk. Changes detected through brain MRI imaging emerged as some of the strongest indicators of hypertension-related organ damage.

The researchers analysed data from more than 27,000 participants in the UK Biobank and validated their findings in an additional cohort of more than 5,500 individuals in the US. The researchers cautioned that the approach remains at an early stage and is not yet ready for routine clinical use in the UK.

Why does it matter?

High blood pressure is one of the world’s leading risk factors for heart disease, stroke and other chronic conditions, yet patients with similar blood pressure readings can experience very different health outcomes. The study suggests that AI may help identify hidden patterns of organ damage that are not captured by conventional measurements, potentially enabling more accurate risk assessment and personalised treatment strategies.

The research also highlights the growing role of AI in precision medicine. By combining imaging, laboratory data and clinical information, AI systems may help clinicians move beyond one-size-fits-all approaches to disease management. Although HyperScore remains at an early research stage, the findings demonstrate how AI could support earlier intervention and more targeted care for patients with complex cardiovascular risks.

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Los Angeles AI arts museum Dataland opens with Google Cloud support

Dataland, a Los Angeles museum dedicated to AI-based art, has opened to the public with Google serving as a technology and creative collaborator.

The museum was co-founded by media artist Refik Anadol and Efsun Erkılıç and is located at The Grand LA in downtown Los Angeles. Google says the 25,000-square-foot space is designed as an interactive environment where data, machine learning and sensory experiences form part of the artwork.

Its inaugural exhibition, ‘Machine Dreams: Rainforest’, uses Anadol’s Large Nature Model, an AI system trained on environmental datasets, to transform natural-world data into large-scale generative visuals.

Google Cloud provides infrastructure for the museum’s real-time image generation, soundscapes, scent augmentation and interactive visitor experiences. Google says the system uses tools including Gemini, diffusion models and generative adversarial networks.

The project builds on a decade of collaboration between Google and Anadol, including work using LA Philharmonic archives, Google Quantum AI data, planetary datasets and the ‘Machine Dreams: Biophilia’ installation at Google’s Mountain View campus.

Google Arts & Culture is also supporting the Dataland AI Artist Residency, a six-month programme for four artists. The residency will provide grants, mentorship from Refik Anadol Studio and access to Google Cloud tools and machine learning models.

Why does it matter?

Dataland shows how AI art is moving from experimental installations into permanent cultural infrastructure. It also highlights the role of cloud providers and large AI platforms in shaping creative production, exhibition design and access to machine-learning tools. For cultural institutions, the project raises broader questions about authorship, data provenance, sustainability, audience interaction and the dependence of new creative formats on private technology infrastructure.

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AI, sovereignty and infrastructure dominate the opening day of VivaTech 2026

The opening day of Viva Technology 2026 in Paris highlighted the growing influence of AI, with discussions focusing on execution, digital sovereignty and the infrastructure needed to support rapid technological change.

Jeff Bezos introduced Prometheus, an AI venture focused on physical engineering applications, while consultancy McKinsey & Company reported that 80% of large businesses now invest in AI, although only 6% report a measurable impact on profits.

The event also highlighted Europe’s ambition to strengthen its technology ecosystem and reduce strategic dependencies in key digital sectors. European Commission Executive Vice President Henna Virkkunen outlined initiatives aimed at expanding semiconductor production, increasing data centre capacity and supporting open-source technologies across Europe.

Alongside the conference, French startup Fairpatterns was selected to represent France at the Startup World Cup in November of this year, where participants will compete for a US$1 million investment prize. The event highlighted the strength of the French startup ecosystem in Paris.

Why does it matter?

VivaTech is one of Europe’s most influential technology events and provides a useful snapshot of emerging priorities in the global digital economy. The strong focus on AI execution rather than experimentation reflects a broader shift from testing AI technologies to generating measurable business and economic value from them.

The discussions also underscore the growing importance of digital sovereignty. As governments and businesses invest in AI, semiconductors, cloud infrastructure and data centres, competitiveness is increasingly linked to control over critical digital capabilities. The event highlights how Europe is seeking to strengthen its technological position while ensuring that innovation is supported by the infrastructure and investment needed to scale advanced technologies.

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Google AI advances beyond diagnosis into patient care

AMIE, a medical AI system designed for clinical reasoning, is being extended from diagnostic support into long-term disease management, according to new research published in Nature. The system uses advanced long-context AI models to interpret clinical guidelines, drug formularies and patient data across extended treatment periods.

Built on Google’s Gemini models, AMIE combines a conversational interface with a reasoning engine designed to cross-reference large volumes of clinical and medical knowledge. The approach enables continuous patient interaction alongside structured clinical decision support, particularly for chronic condition management.

In a blinded study involving simulated patient interactions, AMIE was evaluated against 21 primary care physicians and achieved performance comparable to clinicians in overall management reasoning. The system also achieved higher scores in treatment precision and adherence to clinical guidelines, suggesting potential for AI-assisted care models that support clinicians in ongoing decision-making.

Researchers plan to further assess AMIE in real-world healthcare environments, including nationwide studies focused on virtual care settings. Early findings suggest that AI tools could reduce administrative burdens and support clinical workflows, potentially allowing physicians to devote more time to direct patient care.

Why does it matter?

The research reflects a significant shift in healthcare AI, from supporting individual diagnostic decisions to assisting with the long-term management of chronic conditions. If such systems prove effective in real-world settings, they could help improve treatment consistency, support evidence-based care and reduce administrative workloads for healthcare professionals.

At the same time, expanding AI into ongoing patient management raises important questions about accountability, safety and oversight. Healthcare providers and regulators will need to determine how AI-generated recommendations are validated, how responsibility is assigned when errors occur and how patient trust can be maintained as AI becomes more deeply integrated into clinical care. The study therefore highlights both the potential and the governance challenges of the next generation of medical AI systems.

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US backs photonics expansion for AI data centres under CHIPS Act

The Department of Commerce’s CHIPS Program Office has signed a letter of intent to provide up to $50 million in direct funding to Coherent Corp. under the CHIPS and Science Act.

According to the CHIPS Program Office, the proposed funding would support the expansion of Coherent’s facility in Sherman, Texas, which it describes as the first and largest high-volume 150mm indium phosphide semiconductor manufacturing facility in the United States.

The expansion would add wafer fabrication equipment and cleanroom capacity to increase production of indium phosphide-based photonic components. These components are used in high-speed optical interconnects that enable rapid data transfer within advanced AI data centres.

The Department of Commerce said the project would create high-skilled manufacturing jobs and strengthen domestic supply chains for critical photonics technologies that support next-generation computing and AI infrastructure.

Why does it matter?

The announcement highlights the growing importance of photonics technologies in the AI economy. As demand for AI computing continues to rise, data centres require increasingly efficient methods for transferring vast amounts of information between processors, servers and storage systems. Optical interconnect technologies based on indium phosphide semiconductors are becoming a critical part of that infrastructure.

The investment also reflects broader US industrial policy goals under the CHIPS and Science Act. Beyond traditional semiconductor manufacturing, policymakers are increasingly targeting specialised components and supply chains considered strategically important for AI competitiveness, economic security and technological resilience.

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UK unveils AI tools to speed up planning decisions and housing delivery

The Department for Science, Innovation and Technology (DSIT) and the Ministry of Housing, Communities and Local Government have unveiled two AI tools designed to modernise England’s planning system and accelerate housing delivery.

One new AI prototype is being tested by Barnet, Camden and Dorset councils and aims to reduce average decision times for routine householder planning applications from eight weeks to four. The system triages applications and provides planning officers with preliminary assessments to support decision-making.

A second tool, called Extract, has been made available to local authorities across England. It uses AI to convert decades of planning documents and maps into structured digital data, reducing the need for manual processing and allowing staff to focus on more complex cases.

The government said the initiatives support its target of building 1.5 million homes during this Parliament while improving the efficiency of public services through technology. Subject to successful trials, the new planning application tool is expected to be rolled out nationally in England from 2027.

Why does it matter?

The initiative illustrates how governments are increasingly using AI to address administrative bottlenecks and improve public-service delivery. Planning systems often face challenges related to outdated records, resource constraints and lengthy approval processes, making them a key target for digital transformation efforts.

The UK’s approach also highlights the growing role of AI in housing and infrastructure policy. If successful, the tools could help accelerate housing development, improve the use of public-sector resources and demonstrate how AI can support decision-making while leaving final judgments in the hands of public officials.

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New benchmark tests AI on unpublished mathematics problems

AI systems have demonstrated growing capabilities in advanced mathematics, according to benchmark results published by the non-profit organisation First Proof.

The organisation evaluated four frontier AI systems, including ChatGPT 5.5 Pro, against ten unpublished research-level mathematical problems contributed by leading mathematicians.

The benchmark found that seven of the ten problems received at least one solution judged to be correct by expert reviewers across the participating systems. One notable result involved a stochastic partial differential equations problem, where an AI system produced a correct solution using an approach different from the human-developed proof, drawing praise from expert referees for its originality.

Despite the progress, significant limitations remain.

Several problems remained unsolved, including a metric geometry challenge on which none of the systems made meaningful progress. Reviewers also reported that AI systems handled routine mathematical reasoning effectively but continued to struggle with the most challenging conceptual and creative aspects of proof construction.

Why does it matter?

The benchmark offers one of the most demanding independent tests of AI performance in advanced mathematics, a field often viewed as a proxy for higher-level reasoning and scientific problem-solving. The results suggest that frontier AI systems are increasingly capable of contributing to specialised research tasks and, in some cases, generating approaches that differ from those developed by human experts.

At the same time, the findings highlight the limits of current AI systems. While they can assist with complex reasoning and formal problem-solving, they continue to struggle with the deepest conceptual challenges that often drive mathematical breakthroughs. This suggests that AI may increasingly serve as a research assistant and discovery tool, while human expertise remains essential for guiding and validating scientific advances.

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European Commission opens applications for RAISE AI research advisory board

The European Commission has opened applications for the RAISE High-Level Academic Advisory Board, inviting leading researchers in AI and AI-enabled science to help shape Europe’s future AI research agenda.

The advisory board will support the implementation of the EU’s AI in Science Strategy and provide independent scientific guidance on the development of RAISE (Resource for AI Science in Europe).

RAISE was launched in 2025 under Horizon Europe to strengthen European leadership in both fundamental AI research and the application of AI across scientific disciplines.

The Commission is seeking academics with expertise in AI research or experience applying AI in fields such as medicine, climate science and advanced materials. Board members will provide strategic recommendations on research priorities, governance structures, benchmarks and framework conditions needed to accelerate AI-enabled scientific discovery.

Through RAISE, the EU aims to bring together leading researchers, computational resources, data and funding within a coordinated ecosystem that supports scientific excellence and strengthens Europe’s position in global AI research and innovation.

Why does it matter?

The initiative reflects growing recognition that AI is becoming a foundational tool for scientific discovery across disciplines ranging from healthcare and climate research to materials science and physics. Governments are increasingly investing in AI research infrastructure to ensure that researchers have access to the computing power, data and expertise needed to remain globally competitive.

The advisory board also highlights Europe’s ambition to play a larger role in shaping the future of AI-enabled science. By coordinating talent, infrastructure and funding through initiatives such as RAISE, the EU aims to strengthen both its scientific capacity and its position in the global race for AI innovation.

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