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Anthropic and South Korea partner on AI safety and cybersecurity

Anthropic has opened an office in Seoul and announced a series of partnerships across South Korea’s AI ecosystem, alongside a memorandum of understanding (MoU) with the Ministry of Science and ICT on AI safety.

The company said the Seoul office will serve as a long-term hub for collaboration with South Korean enterprises, startups, researchers and developers using Claude. Senior Anthropic leaders travelled to Seoul this week to open the office and meet partners, customers, and developers.

Anthropic said the MOU with South Korea’s Ministry of Science and ICT will support the safe and responsible adoption of AI across the public sector. The cooperation will focus on AI safety and cybersecurity, including Korean-language model safety evaluations with the Korea AI Safety Institute and information sharing on AI-enabled cyber threats.

KiYoung Choi, Representative Director of South Korea at Anthropic, said South Korean organisations understand that innovation and safety are linked. He said the Seoul office provides a long-term base for collaboration with organisations helping shape South Korea’s AI leadership.

Anthropic also highlighted broader adoption of Claude among South Korean companies. NAVER has deployed Claude Code across its engineering organisation, while Nexon engineering teams are using Claude Code to write, review, and ship code for live-service games.

Large South Korean business groups are also using Claude. LG CNS plans to deploy it across LG Group, Hanwha Solutions is using Claude through AWS Bedrock to meet in-region data residency and security requirements, and Samsung SDS is deploying Claude across Samsung Electronics for knowledge work, agentic workflows, and software development.

South Korean startups are also integrating Claude into products. Channel Corp uses Claude to power Channel Talk, a customer AI platform used by more than 230,000 companies across South Korea, Japan, and the United States.

Anthropic said it will also work with the National AI Research Lab, a consortium spanning KAIST, South Korea University, Yonsei University, and POSTECH. Anthropic will provide Claude access to up to 60 affiliated researchers to support work on AI safety, model evaluation, alignment, robustness and frontier AI research.

In the nonprofit sector, Good Neighbors Korea is deploying Claude to help staff analyse programme outcomes, navigate social welfare law and internal guidelines, and reduce administrative work for frontline social workers.

Anthropic said South Korea ranks among the top dozen countries globally for Claude.ai usage, with activity concentrated in technical and creative work. The company has launched Claude for Startups in South Korea and has held Claude Meetups for South Korean developers since September 2025.

The company also co-hosted Claude Build Day with BASS Ventures, bringing together more than 100 South Korean founders and developers. Anthropic will also co-host a Push to Prod hackathon with Replit, Korea Investment Partners, and Korea Investment Accelerator.

Why does it matter?

The announcement highlights South Korea’s growing importance in the global AI landscape. Beyond being a major market for AI products, the country is increasingly positioning itself as a centre for AI research, safety evaluation, enterprise adoption and public-sector deployment.

The expansion also illustrates how frontier AI companies are combining commercial growth with governance initiatives. Anthropic’s cooperation with the Ministry of Science and ICT and the Korea AI Safety Institute suggests that AI safety, cybersecurity and model evaluation are becoming integrated into broader ecosystem-building efforts. As competition among leading AI companies intensifies, partnerships that combine research, regulation, enterprise adoption and developer engagement are likely to play an increasingly important role in shaping national AI ecosystems.

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Spain backs AI gigafactory to boost European technological sovereignty

Spain has approved a €719 million investment in a national AI gigafactory project aimed at expanding advanced computing capacity and strengthening European technological sovereignty.

The investment was authorised by Spain’s Council of Ministers through the Ministry for Digital Transformation and Public Service. The investment will be channelled through the Spanish Society for Technological Transformation (SETT), which will establish a public-private consortium to develop the project and submit a bid under a forthcoming European Commission call for AI gigafactories.

The government said the project is intended to expand European access to advanced computing resources, reduce technological dependencies and support AI development under European regulatory frameworks.

The planned Spanish bid will use a multi-site model, with locations in Móra la Nova in Tarragona and San Fernando de Henares in Madrid. The government said the AI gigafactory is designed as a large-scale industrial initiative and could become part of one of Europe’s main AI infrastructures.

Spain’s Minister for Digital Transformation and Public Service, Óscar López, said the investment supports technological sovereignty, reindustrialisation and leadership in reliable and sustainable AI. He argued that greater European access to advanced computing resources would accelerate innovation, support scientific research and enable public administrations to develop more advanced and secure digital services.

According to the government, AI gigafactories are specialised data centres designed to host hundreds of thousands of GPUs required to train and deploy advanced AI models. These include large language models and advanced computer vision systems.

The ministry said such facilities differ from conventional data centres because they are specialised for the large-scale computing capacity required by the next generation of AI. The ministry noted that infrastructure for training frontier AI models is currently dominated by US hyperscalers and, to a lesser extent, China’s domestic AI ecosystem.

Spain said the AI gigafactory project would support European efforts to build sovereign supercomputing hubs through EuroHPC, which includes the MareNostrum 5 supercomputer at the Barcelona Supercomputing Center, and programmes such as PERTE Chip.

The government said an AI gigafactory would benefit startups, SMEs, large companies, universities, research centres and public administrations that need significant computing capacity to develop advanced AI. It would also allow the European ecosystem to train, test, and deploy AI models without depending entirely on foreign providers.

The project is structured through a public-private consortium whose composition is still being finalised. Spain said the scale of the initiative requires a combination of public leadership, industrial capabilities, financing and technological expertise.

The ministry said SETT’s participation will provide public strategic direction, coordination, and execution capacity. The operation also builds on Spain’s existing AI infrastructure ecosystem, including two AI Factories linked to EuroHPC: the Barcelona Supercomputing Center and the Galician Supercomputing Center, both supported by Spanish government funding.

Why does it matter?

The announcement reflects the growing importance of computing infrastructure in the global AI race. Access to large-scale compute resources has become a strategic requirement for training and deploying advanced AI systems, yet much of that capacity remains concentrated among a small number of US technology companies and, increasingly, Chinese providers.

Spain’s investment, therefore, goes beyond digital infrastructure. It forms part of a broader European effort to strengthen technological sovereignty, support domestic innovation ecosystems and reduce dependence on foreign AI platforms. If successful, the project could provide startups, research institutions, public administrations and businesses with greater access to advanced computing resources while reinforcing the EU’s ambitions to build a more competitive and autonomous AI ecosystem.

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INTERPOL report warns of rising cybercrime across Asia-Pacific

INTERPOL has published its 2025/2026 Asia and South Pacific Cyberthreat Assessment Report, covering the period from January 2024 to March 2025. The report documents a rise in cybercrime across the region, attributing the trend to expanding digital infrastructure, the adoption of new technologies and increasingly organised criminal networks.

More than half of the countries surveyed reported that cybercrime accounts for over 30% of all crimes recorded nationally. Phishing and related online scam techniques were identified as the most common and financially damaging forms of cybercrime, with 33 % of surveyed countries recorded over 10,000 such cases.

Neal Jetton, INTERPOL’s Cybercrime Director, said the findings demonstrate how cybercriminals are increasingly exploiting AI, ransomware-as-a-service models and sophisticated social engineering techniques. He noted that operational cooperation, information sharing, and cyber resilience are factors relevant to protecting communities and infrastructure as digital adoption in the region increases.

Growth in internet connectivity, mobile banking, cloud computing, and digital financial services has accompanied this cybercriminal activity, according to the report.

Survey respondents also highlighted challenges for law enforcement, including gaps in specialised forensic tools, cybercrime training and technical capacity. The report also notes differences in cybersecurity capacity across countries.

Some countries have established cybersecurity frameworks and institutional capabilities, while others, including developing countries and small island states, reported resource and capacity constraints.

The report identifies jurisdictions with fragmented enforcement structures, limited technical capabilities, and weaker legislation as more exposed to exploitation by cybercriminal actors.

The report was prepared through the Asia and South Pacific Joint Operations against Cybercrime (ASPJOC) project, funded by the United Kingdom’s Foreign, Commonwealth & Development Office (FCDO). It draws on information submitted by 18 INTERPOL member countries in the Asia and South Pacific region, along with contributions from private sector partners, operational case studies, and analysis of emerging cyber threat trends.

It is one of several regional cyber threat assessments produced by INTERPOL, alongside similar reports covering regions such as Africa. The full report is available from INTERPOL.

Why does this matter?

The report highlights how cybercrime is becoming a major security, economic and governance challenge across Asia and the South Pacific. As countries expand digital infrastructure, online banking, cloud services and digital government initiatives, cybercriminals are finding new opportunities to exploit vulnerabilities and target individuals, businesses and critical sectors.

The findings also illustrate the growing role of AI in cyberspace. While organisations increasingly use AI to strengthen cybersecurity, threat actors are adopting the same technologies to enhance phishing campaigns, generate deepfakes and automate attacks. This accelerating technological competition underscores the importance of international cooperation, cyber capacity-building and information sharing to strengthen resilience across the region.

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UNESCO-backed initiative promotes AI skills and workforce innovation in East Africa

Nearly 1,000 students from across East Africa participated in the AI4EAC Innovation Challenge, a regional initiative designed to strengthen AI skills while encouraging practical solutions to local challenges.

Supported by UNESCO Campus Africa and several regional and international partners, the programme brought together students from 57 universities across East Africa.

One of the programme’s central themes was employment and workforce development through the Skills2Job Challenge. Participants were tasked with developing AI systems capable of identifying suitable occupations based on an individual’s skills profile.

Using data from UNESCO’s Global Skills Tracker, students developed machine-learning models aimed at improving career guidance, workforce mobility and skills-based hiring.

The winning projects explored different approaches to matching skills with labour market opportunities. Several participants argued that labour markets across Africa continue to place significant emphasis on formal qualifications, often overlooking transferable skills that could support employment across multiple sectors and industries.

UNESCO said the initiative demonstrates growing demand for AI skills across the region while highlighting the ability of young innovators to develop solutions tailored to local economic and social challenges.

The programme forms part of wider efforts to strengthen links between higher education, innovation ecosystems and employment opportunities throughout Africa.

Why does it matter?

The initiative highlights how AI can be applied to address practical development challenges, including the gap between education outcomes and labour market needs. By focusing on skills-based matching rather than formal qualifications alone, AI tools could help improve workforce mobility, career guidance and access to employment opportunities.

The programme also reflects the growing importance of AI capacity development across Africa. As governments, universities and businesses invest in digital transformation, building local AI talent and innovation ecosystems will be essential for ensuring that AI solutions are developed in ways that reflect regional priorities, economic realities and social needs.

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UNIDIR launches platform for AI peace and security policy

UNIDIR, Switzerland, and Pakistan will host a pre-launch briefing for the Institute’s Centre of Excellence on AI, Peace and Security in Geneva on 17 June 2026.

The briefing will take place at the Palais des Nations ahead of the centre’s formal launch later the same day. It will bring together stakeholders involved in the governance of AI and international security.

U NIDIR said the Centre of Excellence on AI, Peace and Security is being established at a critical moment for global AI governance, as AI increasingly reshapes international peace and security dynamics. The centre is intended to serve as a permanent platform for consolidating knowledge, connecting stakeholders and maintaining continuity between multilateral processes and global discussions on AI and international security.

The platform aims to promote greater continuity and coherence across international AI governance initiatives. It will also promote inclusive global engagement and provide practical, evidence-based policy guidance, resources, and capacity-building support.

According to UNIDIR, the goal is to strengthen international cooperation on the governance of AI in peace and security contexts, amid growing urgency and complexity.

The pre-launch briefing will introduce the centre as a platform for multistakeholder engagement and actionable knowledge generation. Participants will also be invited to express interest in supporting the centre, joining its Forum and contributing to future activities.

Speakers will include Dr Giacomo Persi Paoli, Head of UNIDIR’s Security and Technology Programme; Reto Wollenmann, Senior Advisor on AI and International Security at Switzerland’s Federal Department of Foreign Affairs; and Husham Ahmed, Counsellor at the Permanent Mission of Pakistan to the UN in Geneva.

The briefing will also include an overview of the centre’s governance structure and ways for states and other stakeholders to engage through its Forum. The event will be moderated by Dr Yasmin Afina, Researcher in UNIDIR’s Security and Technology Programme.

Why does it matter?

AI is becoming an increasingly important factor in international peace and security, influencing areas ranging from military applications and cyber operations to information integrity, crisis management and strategic stability. As discussions on AI governance expand across multiple international forums, there is growing demand for mechanisms that can provide continuity, expertise and coordination between policy processes.

The new UNIDIR centre seeks to fill that gap by creating a permanent platform for research, dialogue and capacity-building. By bringing together governments, international organisations, industry, academia and civil society, it could help promote more inclusive and evidence-based approaches to governing AI in security contexts, particularly for countries with limited resources or technical expertise.

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Western Balkans schools explore AI in education with UNESCO and UNICEF support

Educators from across the Western Balkans gathered in Sarajevo to discuss the rapid rise of AI in education and its implications for teaching and learning. The regional conference brought together more than 80 teachers and practitioners from Bosnia and Herzegovina, Croatia, Serbia and Slovenia.

Supported by UNESCO, UNICEF, the French Institute and the Croatian Cultural Society ‘Napredak’, the event focused on both the opportunities and risks associated with AI adoption in education. Discussions covered ethical use of AI, data protection, safeguarding learner well-being and maintaining educational integrity in digital environments.

Workshops provided hands-on training in AI tools, allowing participants to explore how the technology can be used responsibly and effectively in classroom settings. UNESCO also introduced multilingual resources on AI in education, aimed at improving access to practical guidance and best practices across the region.

The initiative highlighted a shared priority among educators: ensuring that AI supports human-centred learning while teachers remain central to delivering effective, inclusive and equitable education.

Why does it matter?

The integration of AI into education systems marks a structural shift in how learning is designed, delivered and evaluated, with implications that extend beyond classrooms into labour markets and civic participation. As governments and institutions experiment with AI tools, the key challenge is ensuring that efficiency gains do not come at the expense of equity, privacy and critical thinking.

Regional cooperation and shared ethical frameworks, such as those promoted by UNESCO, are therefore essential for preventing fragmented adoption and widening digital divides, while helping education systems remain adaptable, inclusive and centred on human development in an increasingly automated environment.

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Manchester tops UK AI city ranking for third consecutive year

Manchester has ranked as the UK’s most AI-ready city outside London for the third consecutive year, according to the SAS AI Cities 2026 Index.

The index, produced by data and AI company SAS, assesses cities using indicators including AI-related jobs, business activity, innovation funding, education opportunities and digital infrastructure.

Manchester received the highest overall score in the 2026 index, supported by strong AI employment, education and business activity. SAS said the city recorded the highest number of AI businesses in the ranking, with 655 organisations operating in the sector.

The city also performed strongly in Innovate UK funding for AI and data economy projects, while skills and training initiatives have supported Greater Manchester’s wider AI ecosystem.

Recent regional initiatives include the expansion of technology learning hubs for secondary school students and the Future of Work Alliance, a five-year programme focused on AI research, training, internships and scholarships.

Bristol, Glasgow, Oxford, Birmingham, Southampton, Edinburgh, Leeds, Liverpool and Cambridge completed the top ten cities in the 2026 ranking.

Why does it matter?

The ranking points to the growing importance of regional AI ecosystems beyond London. Cities competing for AI investment increasingly need a mix of skills, education, research links, digital infrastructure, business activity and public-sector support. Manchester’s position suggests that local AI strategies are becoming part of wider economic development and workforce planning, although the ranking should be read as a private-sector index rather than an official measure of national AI capacity.

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Vietnam targets digital economy at 30% of GDP by 2030

Vietnam has approved a national programme to develop its digital economy and digital society from 2026 to 2030, setting a target for the digital economy’s value-added contribution to reach around 30% of GDP by the end of the decade.

The programme aims to accelerate digital transformation across public services, businesses and society through digital platforms, data infrastructure, AI and wider adoption of digital services.

Economic targets include supporting at least 500,000 small and medium-sized enterprises in adopting digital technologies, developing at least five data exchanges, and building at least five Vietnamese digital technology companies able to compete with firms in advanced economies.

The plan also sets infrastructure and access goals. Vietnam aims to provide fibre-optic broadband to all households, extend 5G coverage to 99% of the population, and ensure that all citizens aged 14 and above have digital identification and authentication tools.

Human capital development is also central to the strategy. The government aims to provide basic digital skills training to more than 10 million working-age people by 2030, including skills for using online public services, digital payments, online safety and AI.

The programme forms part of Vietnam’s broader national digital transformation strategy, alongside digital government initiatives and efforts to strengthen competitiveness, productivity and innovation capacity.

Why does it matter?

Vietnam’s programme shows how emerging economies are treating digital infrastructure, AI, data platforms and digital skills as core economic policy, not only technology policy. The targets are ambitious and cover both market development and social access, from SMEs and data exchanges to broadband, 5G, digital ID and digital literacy. The practical impact will depend on implementation, investment and whether businesses and citizens can adopt digital tools at scale.

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Armenian finance minister highlights AI’s economic potential and risks

Armenia’s Finance Minister Vahe Hovhannisyan said AI could support economic growth while also creating new economic and labour-market challenges. He made the comments during a parliamentary discussion on the performance of the 2025 state budget.

Hovhannisyan said the impact of AI is being widely debated internationally and that governments around the world are actively exploring its economic implications. He was responding to questions about AI’s potential effect on GDP growth and the expansion of the tax base.

The minister cited international estimates suggesting that AI adoption could add approximately 0.8 to 1 percentage point to economic growth. He said AI has the potential to generate new forms of employment while supporting productivity and economic growth.

At the same time, Hovhannisyan warned that AI could disrupt existing jobs and create adjustment challenges for labour markets. The remarks were made during discussions on Armenia‘s 2025 budget performance, as the government’s 2026 budget projects economic growth of 5,4%.

Why does it matter?

The comments reflect a broader global debate about AI’s economic impact. Policymakers increasingly view AI as a potential driver of productivity, innovation and economic growth, while also recognising the possibility of labour-market disruption and changing workforce demands.

For emerging economies such as Armenia, the challenge is not only adopting AI technologies but also ensuring that workers and businesses can benefit from them. The long-term impact of AI on growth, employment and public finances will depend on investment, skills development and the ability to adapt to technological change.

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Japanese researchers develop interpretable AI for materials discovery

Researchers in Japan have developed an interpretable AI method to explain how AI models make predictions in materials discovery. The method analyses features learned by a trained AI model and uses them to identify relationships between atomic structure and optical spectra.

The study was led by researchers from the Institute of Science Tokyo, in collaboration with Tohoku University. The work is expected to be published in the journal Advanced Intelligent Discovery.

AI is increasingly used in materials research to predict how materials behave based on atomic structure. Such models can accelerate materials discovery and reduce reliance on trial-and-error experimentation, but many operate as black boxes, making it difficult to understand how they arrive at specific predictions.

The researchers addressed this problem by analysing a trained AI model that predicts optical absorption spectra from atomic structural data. They extracted features from the model’s internal layers and clustered materials according to shared structural and spectral characteristics.

The team used an atomistic line graph neural network trained on data from 2,681 metal oxides, chalcogenides, and related compounds. The clustering process classified materials into groups sharing structural characteristics such as elemental composition, atomic coordination, bond lengths, bond angles and similar spectral signatures.

According to the researchers, the model learned meaningful relationships between atomic structure and material properties without being explicitly provided oxidation states or electronic configurations as input. The interpretable AI method could therefore help researchers identify the factors behind desired spectral shapes and support more rational materials design.

The approach could also be applied beyond optical absorption spectra. Researchers said the approach could also help explain how atomic arrangements influence other material properties under varying conditions, such as temperature and pressure, opening new possibilities for designing materials with targeted characteristics.

Why does it matter?

One of the main challenges facing the use of AI in scientific research is explainability. While AI systems can identify patterns and generate accurate predictions, researchers often need to understand the reasoning behind those predictions before they can confidently apply them in experimental settings.

By revealing how AI models connect atomic structures with material properties, interpretable AI could make machine learning a more effective tool for scientific discovery. The approach may help accelerate the development of advanced materials for applications ranging from renewable energy and electronics to sensors and next-generation manufacturing, while improving trust in AI-assisted research.

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