Taiwan launches national AI strategy committee

Premier Cho Jung-tai chaired the inaugural meeting of the Cabinet-level National Artificial Intelligence Strategy Committee on Tuesday, marking a formal step in Taiwan’s effort to shape its long-term AI strategy.

Cho said Taiwan should move beyond its traditional role as a manufacturing hub and become a model for AI development grounded in freedom, democracy and public trust. Central to this vision is the use of domestic datasets to build what the premier described as a secure, trustworthy, and responsible AI ecosystem.

The committee adopted seven guiding principles for responsible AI, covering sustainability and well-being, human autonomy, privacy and data governance, cybersecurity and safety, transparency and explainability, fairness and non-discrimination, and accountability. Education, healthcare, finance, and justice were designated as the initial sectors for demonstration, with ministries expected to gradually expand AI use into a broader ‘smart living’ ecosystem.

Under the AI Basic Act, government agencies are required to complete the necessary regulatory adjustments within two years. The Ministry of Digital Affairs has been tasked with developing a risk classification framework and coordinating audits across sectors, with particular attention to areas affecting fundamental rights such as education and employment.

Drawing on the model of chief sustainability officers, Cho called for the appointment of chief data officers across government ministries to strengthen data governance, open data initiatives and AI training datasets. Data governance, he stressed, must balance innovation with protections under existing personal data and copyright legislation.

The National Science and Technology Council was instructed to revise the draft national AI framework based on committee feedback before submitting it for Cabinet approval. Sector-specific governance rules will also be developed, with the Ministry of Digital Affairs responsible for guiding industries on AI risk assessments, governance measures and internal controls.

Why does it matter?

Taiwan’s strategy illustrates how AI policy is increasingly intertwined with questions of digital sovereignty, governance and democratic values. By emphasising trusted AI, domestic datasets and protections for privacy and fundamental rights, Taiwan is seeking to distinguish its approach from other models of AI governance while strengthening its technological competitiveness.

The initiative also moves beyond broad policy ambitions by establishing governance structures and implementation deadlines. The two-year timeline under the AI Basic Act, together with plans for sector-specific rules, risk classification and data governance reforms, will provide an early test of how effectively governments can translate high-level AI principles into practical regulation and public-sector adoption.

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China reports a surge in AI adoption and large language model use

Chinese Premier Li Qiang said China’s AI sector has experienced ‘explosive growth’, citing significant performance improvements across multiple Chinese large language models.

Speaking at the opening plenary of the 17th Annual Meeting of the New Champions in Dalian, Li said daily token consumption across Chinese large language models had exceeded 100 trillion by the end of May, placing China among the world’s leading AI markets by usage.

Li also pointed to advances in embodied AI, saying the technology is beginning to move towards large-scale commercial deployment. The remarks came at the forum commonly known as Summer Davos, an annual gathering held in China focused on global economic and technological trends.

Li did not announce new policy measures or provide additional supporting data. His remarks nevertheless reinforce China’s broader narrative of rapid progress in AI model development and commercial deployment.

Why does it matter?

China’s remarks underscore the growing importance of AI as a strategic driver of economic competitiveness and technological leadership. Claims of daily token consumption exceeding 100 trillion suggest that large language models are being deployed at a significant scale, although the figures were presented by the Chinese government and were not independently verified.

The announcement also reflects intensifying global competition in AI. By highlighting advances in foundation models and embodied AI at a high-profile international forum, China is signalling its ambition to compete with other leading AI economies while showcasing progress in both AI research and commercial applications.

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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.

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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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Child safety gaps in AI law flagged by Ireland’s Children’s Rights Alliance

The Children’s Rights Alliance has urged Irish authorities to strengthen protections for children against the risks posed by rapidly advancing AI technologies. The organisation argues that current regulatory efforts do not sufficiently protect young users from emerging digital risks.

The warning comes ahead of a parliamentary debate on the Regulation of Artificial Intelligence Bill, which is intended to support the implementation of the EU AI Act in Ireland.

Government officials have presented the legislation as a step towards ensuring that AI is developed and deployed in an ethical, transparent and accountable manner while reinforcing Ireland’s position as a European digital regulatory hub.

However, the Children’s Rights Alliance has criticised the proposed framework, arguing that it does not explicitly recognise children as a vulnerable group requiring additional safeguards. The organisation also warned that inadequately regulated AI systems could contribute to harms, including deepfakes, online exploitation and the generation of child sexual abuse material.

Advocates are calling for policymakers to prioritise child safety over industry interests as Ireland prepares for its EU Council Presidency. The group is also hosting a discussion on AI accountability, emphasising the need for stronger protections in future regulation.

Why does it matter?

The debate highlights growing concerns that AI governance frameworks may not adequately address the specific risks faced by children. As generative AI tools become more accessible and capable, they can amplify existing online harms while creating new challenges related to deepfakes, manipulation, exploitation and exposure to harmful content.

The discussion also reflects a broader policy question about how vulnerable groups should be protected within emerging AI regulation. Whether children are explicitly recognised within legal frameworks could influence future requirements for risk assessments, safety measures, accountability mechanisms and platform responsibilities. As governments around the world implement AI governance regimes, child protection is increasingly becoming a key test of whether regulation can keep pace with technological change.

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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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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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Greece drafts national framework to implement the EU AI Act

Greece has opened a public consultation on a draft law to implement the EU AI Act and create a national framework for AI governance.

The Ministry of Digital Governance and Artificial Intelligence said the draft law has been under public consultation since 21 June 2026, with comments open until 6 July. The proposal aims to introduce the national mechanisms needed to apply the AI Act in Greece while supporting innovation, competitiveness and the protection of fundamental rights.

Under the draft law, the Hellenic Data Protection Authority would become the central market surveillance authority and national contact point for AI Act implementation. The Hellenic Telecommunications and Post Commission would act as the notifying authority for conformity assessment procedures.

The proposal would also establish an Artificial Intelligence Coordination and Expertise Centre to support the implementation of the new framework.

It would create an AI regulatory sandbox, allowing startups and small and medium-sized enterprises to develop and test innovative AI applications in real-world conditions with support from the state.

The draft law also introduces a complaint-handling mechanism, an administrative sanctions system and a unified registry of AI systems used by public-sector bodies. The registry is intended to strengthen transparency, accountability and public trust in government use of AI.

The proposal would also reinforce the role of Greece’s Artificial Intelligence Observatory in monitoring the implementation of the National AI Strategy.

Why does it matter?

Greece’s proposal shows how the EU AI Act is moving from Brussels-level legislation into national enforcement structures. The draft law would assign supervisory roles, create a national AI coordination centre, establish a regulatory sandbox and require a public-sector AI registry. Such measures could shape how AI systems are monitored, tested and deployed across both government and the private sector, while giving startups clearer pathways for compliance.

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Oxford and UCL to lead UK-funded labs on next-generation AI

The UK government has announced two new AI research labs led by University College London and the University of Oxford, backed by up to £60 million in funding and access to large-scale computing power.

The labs will work on next-generation AI systems that are cheaper to run, more reliable and easier for businesses, researchers and public services to use. Funding will be provided through UK Research and Innovation’s Engineering and Physical Sciences Research Council over six years.

The announcement expands the government’s original plan from one AI lab to two, increasing planned funding from £40 million to up to £60 million. The labs will also receive access to computing resources valued at tens of millions of pounds.

The Science of Fundamental AI Research Lab, or SOFAIR, will be led by Professor David Barber at UCL, with researchers from Cambridge, Oxford and Edinburgh. It will focus on open-source AI technologies that can run on widely available hardware, aiming to reduce dependence on a small number of model providers.

The British Open-ended Learning and Discovery Lab, known as BOLD, will be led by Associate Professor Jakob Foerster at Oxford, in collaboration with UCL and Imperial College London. It will explore AI systems that can learn more efficiently, adapt to new situations and operate in physical environments.

Each lab will receive £2 million to recruit at least 10 doctoral students, supporting the UK’s AI talent pipeline. The labs will also work with existing UK AI research organisations, including the Alan Turing Institute and UKRI’s AI research hubs.

The funding forms part of UKRI’s wider AI strategy, a £1.6 billion plan to strengthen the UK’s AI research and innovation capacity over the next four years.

Why does it matter?

The investment shows the UK trying to compete in AI through fundamental research, open-source methods and efficient systems rather than only through larger datasets and more computing. By funding labs focused on reliability, lower-cost deployment and widely available hardware, the government is trying to make advanced AI more usable beyond large technology companies. The policy also links AI research to national capability, resilience and a domestic talent pipeline.

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Cloudflare and beehiiv add AI crawler controls for newsletter publishers

Cloudflare and beehiiv have added AI crawler controls to the beehiiv newsletter platform, giving publishers more visibility over how AI bots access their content.

The integration embeds Cloudflare’s AI Crawl Control technology into beehiiv, allowing newsletter operators to monitor AI crawler activity and decide whether to allow or block access to their work.

The companies said the tool is designed for creators choosing between two strategies: increasing discovery through AI search engines and agents, or protecting content archives for future monetisation and licensing opportunities.

The new dashboard will show which AI crawlers attempt to access a publisher’s content, which are blocked, and how much referral traffic those crawlers send back to the newsletter.

AI Crawl Control will be available to all beehiiv users in beta. beehiiv Max customers will also be able to block AI crawlers and set permissions for how their content is accessed across the AI ecosystem.

Cloudflare and beehiiv said the integration eliminates the need for publishers to manually manage technical settings, such as robots.txt files and firewall rules. The system is also expected to update as new AI crawlers emerge.

Why does it matter?

The partnership shows how AI content access is becoming a practical governance issue for smaller publishers, not only large media companies. As AI search engines and agents change how online content is discovered and reused, creators need tools to see who is crawling their work, what traffic is returned, and whether access supports or undermines their business model. The integration also reflects a broader shift towards permission-based content access in the AI era.

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MIT experts examine AI’s impact on work and democracy

MIT researchers have examined how AI is reshaping employment, democratic processes and everyday social life during the institute’s AI and Society Forum.

The forum brought together researchers from across MIT to discuss the benefits and risks of AI for work, civil discourse, election administration and other areas of public life.

MIT economist David Autor challenged the view that AI will eliminate jobs. He argued that the impact of AI on labour will depend on whether the technology makes human expertise more valuable or turns it into a commodity.

Speakers said AI could improve productivity and support new forms of work, but warned that its effects will vary across sectors and require proactive policies on training, worker support and adaptation.

A separate session focused on democracy and elections. MIT researcher Chara Podimata presented work auditing large language models for bias in election information. A study of 12 major models during the 2024 US presidential election season found that chatbot responses varied significantly depending on users’ stated demographics and political leanings.

Participants warned that AI could disrupt election processes, undermine trust and weaken democratic norms if systems are deployed without transparency and accountability. However, they also pointed to possible benefits, including tools that support deliberation and help people reflect on their views.

The forum highlighted the need for interdisciplinary research and governance as AI becomes more deeply embedded in workplaces, public institutions and democratic life.

Why does it matter?

The MIT discussion reinforces that AI’s social impact will depend less on the technology alone and more on how it is designed, deployed and governed. Employment effects, election integrity, public trust and democratic participation are now central AI policy questions. The forum also shows why technical research needs to be connected with economics, political science, ethics and institutional design.

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