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.

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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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FIFA World Cup 2026 faces growing AI and cybersecurity threats

The FIFA World Cup 2026 is not only a football tournament. It is one of the largest digital security tests ever associated with a global public event.

With 48 teams, 104 matches and 16 host cities spread across the USA, Canada and Mexico, the ongoing tournament creates a vast network of stadium systems, ticketing platforms, broadcasters, hotels, transport providers, mobile applications, public Wi-Fi networks, payment systems, and connected devices.

The scale of digital interconnection is unprecedented in the history of international sport.

The Canadian Centre for Cyber Security has warned that the event will almost certainly attract cybercriminals, state-sponsored actors and other threat groups because of its visibility, infrastructure complexity, and broad supplier ecosystem.

Similar concerns have been raised by cybersecurity researchers, government agencies and intelligence analysts, all of whom view the tournament as a high-value target.

Canada warns FIFA World Cup 2026 could face cyberattacks, scams and AI-driven disinformation.

What makes the World Cup 2026 particularly significant is the growing role of AI.

AI will support crowd management, threat detection, cybersecurity operations, content moderation, logistics planning, and fan engagement. Ironically, the same technologies will provide attackers with powerful new tools to automate phishing campaigns, generate convincing deepfakes, conduct fraud operations and spread disinformation at an unprecedented scale.

Perhaps paradoxically, the result is a tournament where AI functions simultaneously as a defensive capability and an offensive weapon.

The largest entertainment attack surface in history

Cybersecurity experts have described the FIFA World Cup 2026 as the ‘largest global entertainment attack surface in history’. The description reflects not only the size of the tournament but also the complexity of its digital ecosystem.

Every match involves interactions between permanent stadium infrastructure, temporary commercial suppliers, cloud service providers, telecommunications operators, transportation networks, emergency services, broadcasters, and millions of fans. Unlike previous tournaments, many of these systems are deeply integrated through digital platforms and real-time data exchanges.

Researchers have noted that the attack surface extends far beyond FIFA’s own networks. Airlines, hotels, payment processors, media organisations, local authorities, ride-sharing platforms and tourism providers all become part of the broader security environment. A successful attack on any of these entities could create disruption that affects the tournament itself.

The Center for Strategic and International Studies (CSIS) has divided the World Cup attack surface into three layers. The first includes direct tournament infrastructure such as stadiums, ticketing systems, and broadcasting operations.

The second includes supporting infrastructure such as telecommunications networks, transportation systems and cloud providers. The third consists of millions of individual devices belonging to players, officials, journalists, sponsors and supporters.

Consequently, a cyber incident does not need to compromise FIFA directly to have significant consequences. A ransomware attack affecting a hotel chain, a denial-of-service attack against a transportation provider, or a breach of a ticketing partner could undermine public confidence and create operational disruption in multiple host cities.

AI-driven cybercrime and financial fraud

The most immediate threat facing supporters is financially motivated cybercrime. Major sporting events have historically attracted fraud schemes, but AI significantly increases their sophistication and reach.

Criminal groups are expected to exploit public interest through phishing campaigns, social engineering operations, fake ticket sales, fraudulent travel packages, malicious mobile applications and counterfeit livestreaming services.

The Canadian Centre for Cyber Security highlighted research indicating that more than 4,300 suspicious World Cup-related domains had already been identified by August 2025.

Generative AI allows attackers to produce convincing communications in multiple languages within seconds. Emails can imitate official FIFA announcements, airline notifications, hotel confirmations or ticketing updates with remarkable accuracy. AI-generated text can eliminate many of the grammatical errors that have traditionally exposed phishing attempts.

The personalisation capabilities of AI further increase effectiveness. Information gathered from social media profiles can be used to create tailored messages targeting specific individuals.

A supporter who has publicly discussed attending a World Cup match may receive a realistic-looking email containing details of a stadium, flight, or accommodation booking.

Cybersecurity researchers also warn about AI-powered chatbots designed to engage victims in extended conversations, gradually building trust before directing them towards malicious websites or fraudulent payment portals.

Such attacks represent an evolution beyond traditional phishing because they can adapt dynamically to the victim’s responses.

Deepfakes, disinformation and information warfare

One of the most significant AI-related concerns surrounding the World Cup is the potential use of deepfake technology and synthetic media.

Deepfakes can generate highly realistic audio, video, and images depicting events that never occurred. During a tournament watched by billions of people, such content could spread rapidly before verification mechanisms have time to respond.

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A fabricated video appearing to show a national team manager criticising players, a fake government announcement warning of security threats, or an AI-generated recording supposedly involving FIFA officials could create confusion and damage reputations.

Even brief circulation of false information may influence public perception, financial markets, or security decisions.

Threat actors are very likely to employ AI-generated articles, images and videos during the World Cup tournament. Furthermore, state-sponsored influence operations remain possible, particularly if geopolitical tensions involving participating nations intensify.

The risk is not limited to political manipulation. Criminal groups may use deepfakes to support fraud operations, impersonate public figures or create fake emergency announcements designed to generate panic.

The speed of modern social media platforms means that misleading content can reach millions of users before fact-checking efforts can become effective.

The World Cup, therefore, represents a major test for digital information resilience. Governments, media organisations and technology platforms will need rapid verification capabilities to distinguish authentic content from increasingly sophisticated synthetic media.

Critical infrastructure and operational technology risks

The World Cup’s dependence on critical infrastructure creates another layer of cybersecurity concern.

Electricity grids, water systems, telecommunications networks, transportation infrastructure and emergency communications all support tournament operations. Any disruption affecting these systems could have consequences extending far beyond football matches.

Security researchers have warned that operational technology environments often remain less protected than traditional information technology networks. Many infrastructure systems were designed decades ago, long before cybersecurity became a primary concern.

As digital connectivity expands, vulnerabilities within such systems become increasingly attractive targets.

A cyber-attack on public transportation networks could delay tens of thousands of supporters travelling to World Cup matches. Disruptions affecting telecommunications systems could interfere with emergency coordination, media coverage and public communications.

Attacks targeting stadium access systems could create safety concerns if spectators are unable to enter or exit venues efficiently.

The multinational structure of the tournament further increases its complexity. The US, Canada and Mexico operate under different legal frameworks, cybersecurity standards and regulatory environments.

Effective protection, therefore, requires unprecedented levels of coordination between public authorities and private sector partners in the three countries.

Protecting fan data and digital identities

The FIFA World Cup generates enormous volumes of personal data. Ticket purchases, accommodation bookings, transportation arrangements, mobile applications, loyalty programmes and payment systems all collect information about supporters.

Such datasets are highly attractive to cybercriminals. Personal information can be used for identity theft, financial fraud, account takeovers or targeted phishing campaigns. The concentration of large numbers of international visitors further increases the value of collected data.

Digital ticketing systems present both opportunities and risks. While electronic tickets reduce certain forms of fraud and improve operational efficiency, they also create new attack vectors. Compromised accounts, stolen credentials and fake ticket marketplaces can all exploit digital ticketing ecosystems.

The use of biometric technologies introduces additional challenges. Facial recognition systems may be employed for security screening, venue access or identity verification. Although such technologies can improve efficiency and security, they also raise questions about privacy, consent, data retention, and oversight.

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Maintaining public trust requires transparency regarding how personal information is collected, stored, and protected. Strong cybersecurity measures must be accompanied by clear governance frameworks and accountability mechanisms.

Online abuse and AI moderation

Cybersecurity during the World Cup extends beyond technical attacks. Online abuse, harassment and hate speech represent significant digital risks affecting players, officials and supporters.

Experience from previous tournaments illustrates the scale of the problem. FIFA reported that one in five players participating in the 2023 Women’s World Cup experienced online abuse. Through the Social Media Protection Service, nearly 117,000 comments were hidden or blocked during the competition. Almost half of the abusive messages were classified as sexist, sexual, or homophobic.

The scale of online interaction surrounding the men’s World Cup is expected to be substantially larger. Social media platforms, therefore, face significant pressure to prevent abuse while preserving legitimate expression.

Ofcom has already warned platforms about their responsibilities under the UK Online Safety Act. The regulator expects companies to maintain effective reporting systems, sufficient moderation resources and rapid responses to illegal content.

Tech companies face scrutiny during the FIFA World Cup as Ofcom monitors compliance.

AI will play a central role in content moderation efforts.

Machine learning systems can analyse vast quantities of user-generated content and identify harmful material much faster than human moderators alone. However, AI moderation remains imperfect. Algorithms may struggle with sarcasm, cultural context, local languages or rapidly evolving forms of abuse.

Balancing safety and freedom of expression will remain one of the most challenging governance issues during the World Cup.

AI as a cybersecurity enabler

Despite the risks, AI has become an essential component of modern cybersecurity strategies.

Security operations centres generate enormous volumes of alerts, logs and threat intelligence data. Human analysts alone cannot process this information effectively. AI enables organisations to identify patterns, prioritise risks, and respond more rapidly to emerging threats.

Machine learning systems can detect unusual network behaviour that may indicate malicious activity. AI tools can analyse phishing campaigns, identify fraudulent domains and uncover relationships between seemingly unrelated attacks.

cybersecyrity AI

Automated systems can isolate compromised devices and block suspicious traffic before significant damage occurs.

AI is also becoming increasingly important for threat intelligence. Security teams use machine learning models to analyse information from global threat feeds, identify emerging attack techniques and predict potential risks. During an event as large as the FIFA World Cup, such capabilities may provide critical advantages.

Beyond cybersecurity, AI supports broader security operations. Computer vision systems can monitor crowd movement, identify congestion points, and assist with emergency planning. Predictive analytics can help authorities allocate resources more effectively and improve incident response capabilities.

Nevertheless, AI should be viewed as a force multiplier rather than a replacement for human expertise. Automated systems can produce false positives, miss novel attack methods or be manipulated through adversarial techniques. Human oversight remains essential, particularly when decisions affect public safety and civil liberties.

International cooperation and long-term implications

The cybersecurity challenge facing the World Cup cannot be addressed by FIFA alone. Effective protection requires collaboration among governments, intelligence agencies, law enforcement organisations, cloud providers, telecommunications companies, stadium operators, and cybersecurity firms.

Information sharing will be particularly important. Threat intelligence must move rapidly across organisations and national borders. Attack indicators identified in one host city may become relevant to another within minutes.

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The World Cup also serves as a preview of the future challenges facing large-scale public events. As AI becomes increasingly integrated into infrastructure, transportation, communications and security operations, future tournaments will become even more dependent on digital technologies.

The lessons learned from 2026 are therefore likely to influence cybersecurity planning for future Olympic Games, continental championships, political summits and other international gatherings.

Conclusion

The FIFA World Cup 2026 demonstrates how deeply sport has become intertwined with the digital world. Football remains the centrepiece of the tournament, but its success depends equally on cybersecurity, AI governance and operational resilience.

AI will help protect infrastructure, support threat detection, improve crowd management, and strengthen cyber defence capabilities. At the same time, it will enable more sophisticated phishing campaigns, more convincing deepfakes, more effective disinformation operations and increasingly personalised fraud schemes.

The central challenge is not whether AI should be used. The challenge is how it can be deployed responsibly, securely and transparently within one of the most complex public events ever organised.

Success will depend on balancing innovation with security, automation with human oversight and efficiency with public trust.

The real test for FIFA, host governments and technology providers will be resilience. Cyber incidents are almost inevitable given the scale and visibility of the tournament. What will matter most is the ability to detect threats quickly, limit disruption, recover effectively and maintain public confidence.

Ultimately, the FIFA World Cup 2026 may be remembered as the first truly AI-era World Cup, where cybersecurity, misinformation and digital resilience have become as important as events on the pitch.

As citizens, supporters and digital users, we each have a role to play in protecting the integrity of the information and technologies that increasingly shape our lives.

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Meta launches new AI glasses with Muse Spark assistant

Meta has launched a new generation of AI glasses in partnership with EssilorLuxottica, expanding its push to make wearable AI a mainstream consumer technology.

The new Meta Glasses build on the company’s existing AI eyewear portfolio and will launch with 26 styles across different colours, lenses and frames.

Meta said the glasses include hands-free photo and video capture, open-ear audio, voice control, calls and messaging, live translation and access to Meta AI. The company also said the device offers more than eight hours of battery life, with a charging case providing up to 40 additional hours.

The glasses are the first in Meta’s AI eyewear line to launch with Meta AI powered by Muse Spark from day one. Meta said the model, developed by Meta Superintelligence Labs, gives the assistant stronger multimodal capabilities, including a better understanding of what users are seeing.

The company said the assistant can answer questions, suggest local recommendations, support daily tasks and help users manage schedules hands-free. Meta is also adding features such as dynamic photo capture, pedestrian navigation for displayless glasses and live translation support for 14 additional languages.

The launch reflects growing competition in AI wearables, as technology companies seek new interfaces beyond smartphones. By combining AI assistance with everyday eyewear, Meta is trying to position smart glasses as a practical gateway to always-available AI services.

Why does it matter?

AI glasses move digital assistants closer to the physical world, giving AI systems access to what users see, hear and do throughout the day. That could make AI more useful for translation, navigation, accessibility and hands-free computing, but it also raises questions over privacy, bystander consent, data collection and dependence on platform-controlled AI assistants.

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World Bank says AI could boost Poland’s GDP by up to 12% by 2035

The World Bank Group says AI could increase Poland’s real GDP by between 1.3% and 12.1% by 2035, depending on the pace of business adoption, workforce adaptation and supportive public policies.

In its report, ‘Navigating the Age of AI: Implications for Poland’s Economy‘, the World Bank Group said AI-driven productivity gains could begin emerging within three years. However, with only 8% of Polish firms currently using AI, the report identifies substantial scope for further adoption and productivity gains.

The report suggests that AI‘s most significant impact is likely to be on how work is organised and performed rather than on the overall composition of the economy. The business services sector is expected to be among the first to experience significant change as routine and repetitive tasks become increasingly automated.

The report argues that capturing AI’s benefits will require sustained investment in digital infrastructure, skills development and innovation, alongside labour-market measures designed to support workforce transition and adaptation. The report was developed in collaboration with the Government of Poland, academia, think tanks and international partners in Warsaw.

Why does it matter?

The report highlights the growing importance of AI as a driver of productivity and economic growth. For countries such as Poland, the potential gains from AI will depend not only on technological adoption but also on the ability of businesses, workers and institutions to adapt to changing economic conditions.

The findings also reinforce a broader policy lesson emerging globally: AI’s economic impact is likely to be shaped as much by investments in skills, infrastructure and labour-market resilience as by the technology itself. Countries that successfully combine innovation with workforce development may be better positioned to capture productivity gains while limiting disruption and inequality during the transition.

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OECD report highlights AI’s growing role in workforce training

AI is beginning to reshape how vocational education and training (VET) systems design qualifications, update curricula and respond to rapidly changing labour market demands, according to a new OECD report.

As economies undergo digital and green transitions, education authorities face growing pressure to ensure training programmes remain aligned with evolving workforce needs.

The report finds that AI is already being used across parts of the vocational education ecosystem to analyse labour market trends, identify emerging skills gaps, map competencies and support curriculum development.

Countries, including the Netherlands, Switzerland, Estonia and Germany, have launched pilot initiatives using AI tools to accelerate and improve qualification design and revision processes.

AI is also being explored as a mechanism for supporting modular learning pathways and micro-credentials in sectors experiencing rapid technological change.

Despite growing interest, the OECD stresses that AI adoption remains uneven and largely experimental. Most systems continue to rely on traditional governance structures involving employers, industry representatives, educators and public authorities.

Rather than replacing existing governance processes, AI is currently being used to support evidence gathering, stakeholder consultations and administrative functions. The organisation notes that countries with strong digital infrastructures and advanced labour market intelligence systems are better positioned to move from isolated pilots to broader implementation.

The report also warns that broader AI adoption could introduce new risks for vocational education systems. Concerns include biased outputs, poor data quality, reduced transparency, cybersecurity vulnerabilities and the possibility of weakening collaborative decision-making.

To address these challenges, the OECD argues that AI deployment must remain human-centred and operate within robust governance frameworks. Maintaining accountability, ensuring stakeholder participation and protecting data integrity will be critical as governments increasingly integrate AI into education and workforce development policies.

Why does it matter?

Vocational education systems play a critical role in preparing workers for changing labour markets. As digitalisation, automation and the green transition reshape skills demand, governments are looking for ways to update qualifications and training programmes more quickly. The OECD report suggests that AI could help education systems identify emerging workforce needs, improve labour market intelligence and make curriculum development more responsive.

At the same time, the report highlights that technological innovation alone is unlikely to solve skills challenges. The effectiveness of AI in vocational education will depend on strong governance, reliable data, stakeholder participation and human oversight. How governments balance efficiency gains with transparency, accountability and trust could shape the future of workforce development and lifelong learning policies.

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EU agrees tougher child protection rules against AI-generated abuse

The agreement between the European Parliament and the Council updates legislation first adopted in 2011, reflecting the growing role of digital technologies and AI in facilitating abuse.

Under the revised directive, designing, adapting or distributing AI systems intended to generate child sexual abuse material would become a criminal offence. The updated rules would also cover deepfake abuse material, livestreamed child sexual abuse, sexual extortion, and the possession or distribution of instructions on how to commit such crimes.

The agreement also strengthens rules on consent. It clarifies that consent must be given voluntarily, cannot be inferred from silence, lack of resistance or a previous relationship, and can be withdrawn at any time.

Grooming offences would be expanded to cover situations involving coercion, threats or deception, including cases where offenders falsely present themselves as peers of the child.

Victim protection would also be strengthened through access to healthcare, legal aid, helplines, accommodation support and compensation mechanisms. The agreement also extends limitation periods, recognising that many victims need years or decades before reporting abuse.

The revised directive still requires formal adoption by the European Parliament and the Council before entering into force.

Why does it matter?

The agreement shows how EU criminal law is being adapted to AI-enabled and online forms of child sexual abuse. Criminalising AI systems designed to generate abusive material is especially significant because it targets not only harmful content but also the tools used to produce it. The revised directive also strengthens victim support and prosecution timelines, addressing the reality that many survivors report abuse years after it occurred.

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Reflection secures SpaceXAI compute deal for open-source AI models

Open-source AI startup Reflection has signed a major compute agreement with SpaceXAI, giving the company access to Colossus 2 data centre capacity as it works to develop frontier AI models.

According to Axios, Reflection will begin paying $150 million per month from 1 July 2026 for access to the infrastructure through 2029. The deal is intended to give the Nvidia-backed startup the computing power needed to compete with leading AI companies.

Reflection is developing open-source AI models at a time when access to advanced chips and large-scale data centre capacity has become a major barrier to frontier model development.

The agreement highlights the growing importance of specialised AI infrastructure providers. Rather than building all capacity internally, AI developers are increasingly relying on large compute partnerships to secure the resources needed for training and operating advanced models.

It also points to SpaceXAI’s expanding role in the AI infrastructure market. The company has been offering access to Colossus data centre capacity to AI developers, turning large-scale compute into a strategic asset within the AI ecosystem.

The deal reflects a broader shift in the AI race, where access to GPUs, power, data centres and long-term infrastructure contracts can be as important as model design or software talent.

Why does it matter?

The Reflection-SpaceXAI deal shows how compute access is becoming a decisive factor in AI competition. Open-source AI developers may benefit from wider access to large-scale infrastructure, but such deals also concentrate strategic power among companies that control chips, energy, data centres and financing. That makes AI infrastructure a governance issue, not only a business or engineering concern.

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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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Indonesia plans AI integration across major government programmes

Indonesia plans to integrate AI into major government programmes, including its flagship free meals initiative valued at approximately $15 billion, under a draft presidential regulation awaiting approval from President Prabowo Subianto.

The draft establishes a roadmap for AI adoption across ministries and regional governments between 2026 and 2029. It aims to improve economic growth and strengthen Indonesia’s competitiveness in AI at both regional and global levels.

Under the proposals, AI would support the free meals programme by helping design local menus, monitor food safety and kitchen hygiene, forecast demand, detect irregularities and integrate health data for early-warning systems. AI would also support free health screenings and tuberculosis testing.

The draft also proposes the creation of a sovereign AI fund, fiscal incentives for researchers and safeguards to address risks such as biometric misuse, intellectual property violations and deepfakes. Experts cautioned that significant infrastructure gaps, limited digital skills and uneven technological capacity could pose challenges to implementation, which remains at an early stage.

Why does it matter?

The proposal illustrates how governments are increasingly seeking to integrate AI into core public-service delivery rather than limiting its use to pilot projects or administrative functions. Applying AI to areas such as nutrition programmes, healthcare screening and public-sector operations could improve efficiency, resource allocation and service delivery for millions of citizens.

The initiative also highlights the challenges facing emerging economies as they pursue AI-driven development. While Indonesia is seeking to build domestic AI capacity through funding mechanisms and incentives, successful implementation will depend on investments in digital infrastructure, technical expertise and governance frameworks capable of addressing risks such as deepfakes, privacy concerns and misuse of biometric data.

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Malaysia moves to strengthen laws against AI-enabled crimes

Malaysia is moving to strengthen its legal framework to address AI-enabled offences, including deepfakes, identity impersonation and AI-generated child sexual abuse material, according to Digital Minister Gobind Singh Deo.

Speaking in the Dewan Rakyat, Gobind said Malaysia already has legal protections in several areas, particularly those involving children, but that the country’s regulatory framework must evolve to keep pace with emerging AI-related risks, especially those affecting young people.

The minister said the government is pursuing a two-pronged strategy that combines safety-by-design measures during AI development with stronger enforcement mechanisms when AI-generated content violates existing laws.

Gobind added that the government is consulting academics, religious leaders and other stakeholders as part of its review process to ensure future regulations remain effective as AI technologies continue to evolve.

Why does it matter?

The initiative reflects a growing challenge facing governments worldwide: adapting legal systems to address harms created or amplified by AI technologies. Deepfakes, synthetic identities and AI-generated abuse material are creating new enforcement challenges that often do not fit neatly within existing legal frameworks designed for earlier digital technologies.

Malaysia’s approach also highlights an emerging policy trend that combines prevention and enforcement. Rather than relying solely on criminal penalties, governments are increasingly exploring safety-by-design requirements, risk management measures and stakeholder consultation to reduce harm before it occurs. The outcome of Malaysia’s review could influence how other countries in the region approach AI governance, online safety and digital rights.

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