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UN chief warns against concentrated AI power

UN Secretary-General António Guterres has called for AI to be governed through broad international cooperation rather than shaped by a small group of governments and technology companies. Speaking at the opening of the World Artificial Intelligence Conference in Shanghai, he described AI as “humanity’s greatest opportunity in the 21st century”, while warning that it could also become “one of its greatest risks”.

“Technology that will shape the future of humanity must be shaped by all of humanity”, Guterres said. He stressed that AI governance cannot be governed by a handful of countries or companies” and that “every nation needs a seat at the table”. Recent UN efforts include the Global Digital Compact, the Independent International Scientific Panel on AI and the first Global Dialogue on AI Governance, held in Geneva earlier in July.

AI could support medical research, education, food systems, employment and progress towards the sustainable development goals, but unequal access remains a major concern. “One-third of humanity is still offline,” Guterres noted, warning that concentrated computing capacity, expertise and investment could produce “greater inequalities, greater divides in income, in opportunity, in security”. More than 20 countries have nominated centres for a UN-supported capacity-building network, while recommendations for a Global Fund for AI are also expected.

The UN chief identified capacity development, common safety standards and environmental sustainability as central priorities. “Human rights must be protected”, the UN chief said. “Humans must keep control over every life-and-death decision.” He also stressed that “no AI system should be put in a child’s hands before it has been proven safe”.

Guterres called on major AI companies to disclose their environmental impact and use renewable energy by 2030. “The defining question is whether that transformation will reduce inequalities or reinforce them,” he said. “Whether it will concentrate power or expand opportunity.”

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South Korea strengthens investigations into AI and semiconductor technology leaks

South Korea has restructured its specialised intellectual property investigation system to strengthen efforts against leaks of advanced technologies, including semiconductors and AI, amid growing concerns over economic security.

The reforms establish new investigative and analytical divisions while expanding the technology police force from 27 to 61 officers.

A new Technology Divulgence Police Division will investigate trade secret theft and the leakage of advanced technologies. Its 21 investigators will include specialists in electrical, chemical and mechanical engineering alongside patent examiners, attorneys and other technical experts.

The government also plans to expand investigative authority to cover violations involving National Core Technologies and National High-Tech Strategic Technologies.

A separate Intellectual Property Protection Analysis Division will use patent data and other intelligence to identify technologies, companies and institutions at high risk of technology leakage.

It will also cooperate with businesses, research organisations and law enforcement agencies to detect warning signs, support intelligence-led investigations and strengthen security awareness, particularly among smaller companies.

The restructuring creates an Intellectual Property Protection Standards Division responsible for investigative procedures, oversight and human rights safeguards.

Planned reforms in South Korea include clearer rules for compulsory investigations, external review through a Criminal Investigation Review Committee, stronger access to legal counsel, wider use of video recording and regular updates for parties involved in investigations.

Why does it matter?

As geopolitical competition increasingly centres on semiconductors, AI and other strategic technologies, governments are treating intellectual property protection as a matter of economic and national security. South Korea’s reforms aim to strengthen its ability to detect, investigate and prevent technology leakage before commercially valuable innovations are transferred abroad.

The restructuring also reflects a broader trend towards combining specialised technical expertise with intelligence-led enforcement and stronger procedural safeguards. This approach seeks to improve both the effectiveness and accountability of investigations involving advanced technologies.

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European Commission orders Google to open Android and Search under DMA

The European Commission has issued two legally binding specification decisions requiring Google to improve interoperability for competing AI assistants on Android and to share anonymised Google Search data with eligible third-party search providers.

The decisions clarify how Google must comply with its obligations under the Digital Markets Act (DMA) and are intended to strengthen competition in AI assistant and search markets.

Under the Android decision, competing AI assistants will gain access to functions currently available primarily to Google’s own services, including Gemini. European users will be able to activate alternative assistants through voice commands, perform actions within apps, receive suggested replies and ask questions based on recent activity.

The Commission said the measures include safeguards to protect privacy, security and device integrity.

The second decision requires Google to make anonymised search data available under clearer and more effective conditions. Eligible recipients will include AI chatbots offering search functionality, while Google must share the same categories of anonymised data it uses to improve its own search services.

The framework also establishes a multi-layered anonymisation process, allows Google to address serious cybersecurity and data protection risks, and introduces transparent procedures for data access and pricing.

Google must begin sharing search data with eligible providers from January 2027, while the Android interoperability measures are expected to benefit users from July 2027. Although the decisions are legally binding, they do not determine whether Google has breached the DMA or impose financial penalties. They remain subject to judicial review.

Why does it matter?

The decisions represent one of the clearest examples so far of how the Digital Markets Act is intended to reshape competition in digital ecosystems. By requiring Google to open key Android features and search data to rivals, the Commission is seeking to reduce barriers for competing AI assistants and search providers while expanding consumer choice.

The measures also demonstrate that DMA enforcement extends beyond preventing anti-competitive conduct to prescribing how gatekeepers must implement interoperability and data-sharing obligations in practice. Similar specification decisions could shape how other major digital platforms comply with the Act in the future.

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Rome Declaration calls for human control over AI and nuclear weapons

Nobel laureates, scientists, religious leaders and former heads of state and government have signed the Rome Declaration for an Unarmed and Disarming Peace in the Age of Artificial Intelligence, Nuclear and Autonomous Weapons, New Digital Protocols, and Emerging Models of Digital Development.

The declaration was adopted on 16 July on Rome’s Capitoline Hill following the Global Nobel Laureates Assembly on Artificial Intelligence and Nuclear War, hosted by the Vatican.

The declaration calls for renewed international cooperation to address the challenges posed by AI, nuclear weapons and other emerging technologies. It stresses that decisions concerning life and death, peace and war, and the future of humanity should remain under meaningful human control, while highlighting the importance of ensuring that technological progress is guided by ethics, responsibility and respect for human dignity.

The declaration concludes the Global Nobel Laureates Assembly, which brought together more than 200 participants from research institutions, international organisations and civil society. The organisers said the initiative seeks to encourage dialogue on the governance of AI, nuclear weapons and other technologies with significant implications for international peace and security.

Why does it matter?

The declaration reflects growing international efforts to address AI alongside nuclear risks and other emerging technologies through a common governance framework. It also adds to ongoing discussions about maintaining meaningful human control over decisions involving the use of force and other technologies with potentially existential consequences.

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World AI Cooperation Organization established in Shanghai

Twenty-nine countries signed an agreement in Shanghai on 16 July establishing the World Artificial Intelligence Cooperation Organization (WAICO), an independent intergovernmental international organisation that will be headquartered in Shanghai.

Chinese Foreign Minister Wang Yi signed the agreement on behalf of China, while representatives from countries including Kazakhstan, Laos, Pakistan, Russia and Indonesia became founding members.

UN Secretary-General António Guterres attended the signing ceremony alongside representatives of other countries and international organisations.

According to the agreement, WAICO will uphold the purposes and principles of the UN Charter, promote extensive consultation, joint contribution and shared benefits, and follow a people-centred approach. Its stated objective is to strengthen international cooperation and global governance on AI while supporting the development of AI that is beneficial, safe and fair for humanity.

The establishment of WAICO follows China’s proposal last year to create a dedicated international organisation for AI cooperation. The organisation adds a new institutional forum to the evolving landscape of global AI governance, alongside existing multilateral and regional initiatives focused on AI policy and international cooperation.

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Japan and NVIDIA launch national AI infrastructure

Japan is moving to build what NVIDIA describes as the world’s first national AI infrastructure for physical AI, in partnership with Noetra and supported by government and industry leaders.

The initiative is designed to strengthen Japan’s AI ecosystem across manufacturing, logistics, healthcare, telecommunications and other industrial sectors.

Noetra will establish an NVIDIA Vera Rubin AI factory using 13,750 NVIDIA Vera CPUs and 27,500 NVIDIA Rubin GPUs.

NVIDIA said the facility will deliver 140 megawatts of data-centre capacity and will be based on its DSX platform.

The AI factory will support the development of open multimodal foundation models for AI agents, digital twins, robotics and other physical AI applications.

It will provide the computing foundation for Japan’s FRONTia Project, launched by the Ministry of Economy, Trade and Industry.

The project aims to combine Japan’s manufacturing expertise, real-world industrial data and international technology partnerships to develop reliable multimodal foundation models for robotics and physical AI.

Pretrained weights from Noetra’s multimodal foundation models will be made available to domestic model developers and enterprises, alongside NVIDIA software tools for agentic AI, robotics and model development.

NVIDIA said the infrastructure will support Japan’s wider AI robotics strategy, which aims to capture more than 30% of the global AI robotics market by 2040.

As the AI factory expands, it is expected to support trillion-parameter-scale model training and give organisations in Japan access to advanced AI computing capacity.

Why does it matter?

The initiative shows how national AI strategies are increasingly tied to compute infrastructure, industrial data and sector-specific foundation models. For Japan, physical AI connects AI policy with manufacturing, robotics, logistics and healthcare, areas where domestic expertise and trusted infrastructure could become strategic advantages. The project also highlights the growing role of private chip and platform providers in national AI capacity, raising longer-term questions about sovereignty, dependency and who controls the infrastructure behind industrial AI.

Claude for Teachers released for verified US educators

Anthropic has launched Claude for Teachers, offering verified K-12 educators in the US free access to premium Claude features, teaching skills and curriculum-aligned resources.

The product is designed to help teachers plan lessons, adapt materials, differentiate instruction and manage classroom workflows.

Claude for Teachers connects to Learning Commons, giving it access to academic standards across all 50 US states and related learning competencies.

Anthropic says the tool can use those standards to draft scaffolded lesson plans and student-facing materials based on widely used curricula, including OpenSciEd and Illustrative Mathematics.

Educators can also connect Claude with K-12 tools such as ASSISTments, Brisk Teaching, Canva Education, Coteach, Diffit, Eedi, MagicSchool, Snorkl and TeachFX.

The platform includes tailored teaching skills grounded in learning science, with use cases including standards-aligned lesson planning, differentiated materials and analysis of class data for instructional planning.

Anthropic says that Claude for Teachers is for educators only and complies with K-12 privacy requirements.

Data from the product will not be used for model training, and student information is covered by a K-12 Data Processing Addendum designed to comply with FERPA.

The company is also working with the American Federation of Teachers on safety and privacy principles for AI in education.

Verified educators can access Claude for Teachers free of charge if they sign up by 30 June 2027, with a dedicated version for schools and districts planned later.

Why does it matter?

Claude for Teachers shows how major AI companies are moving from general-purpose chatbots into specialised education tools with curriculum alignment, workflow integrations and sector-specific privacy commitments. The launch could support lesson planning and differentiated instruction. Still, it also raises familiar questions about student data, vendor dependence, AI quality, teacher autonomy and how schools evaluate the educational impact of AI tools before scaling them.

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Illinois issues AI guidance for schools with AI-assisted drafting disclosed

The Illinois State Board of Education has published comprehensive guidance on the use of AI in schools, while also disclosing that the 409-page document was itself developed with assistance from multiple AI models alongside human review.

The guidance was prepared following legislation adopted in 2025, with contributions from education, technology and public policy experts. Initial drafts drew ChatGPT, Claude and Gemini, while human reviewers edited, verified and refined the final document.

The board detailed how AI was used throughout the drafting process, including producing early text, verifying publicly available resources, creating graphics and improving clarity. It stressed that all AI-generated information was independently reviewed and verified before publication.

The guidance emphasises that AI should support teaching and learning rather than replace human relationships or educational experiences. It also offers practical recommendations for selecting AI tools and promoting responsible, ethical and transparent AI use in schools.

The guidance is intended to help Illinois schools navigate both the opportunities and risks associated with AI adoption in education.

Why does it matter?

The guidance offers schools a practical framework for integrating AI while addressing issues such as academic integrity, privacy, transparency and the reliability of AI-generated content. As more education systems adopt AI, common governance principles may help schools use the technology more consistently and responsibly.

The document is also notable for openly disclosing how AI contributed to its own development. By documenting where AI was used and emphasising independent human verification, the Illinois State Board of Education models a level of transparency that could influence how other public institutions develop AI-assisted policies and guidance.

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South Korea showcases low-power AI networking technology

South Korea’s Ministry of Science and ICT has showcased low-power AI networking technology to an international audience as part of efforts to promote more energy-efficient communications infrastructure.

According to the ministry, the demonstration formed part of broader efforts to showcase domestic advances in AI and communications technologies and strengthen international cooperation.

The ministry released few technical details about the technology, instead presenting it as an example of South Korea’s research and development capabilities in AI networking and next-generation communications infrastructure.

Why does it matter?

Reducing the energy required to run AI infrastructure is becoming increasingly important as AI workloads expand. More efficient networking technologies could help lower operating costs and support wider deployment of AI systems while reducing their environmental impact.

Although the ministry released few technical details, the announcement reflects South Korea’s continued investment in AI and advanced communications technologies as part of its broader strategy to strengthen technological competitiveness and international collaboration.

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Canada invests CAD 13.9 million in Quebec AI projects

The Government of Canada has announced nearly CAD 13.9 million (approximately €8.8 million) in funding for 63 AI projects across Quebec under the Regional Artificial Intelligence Initiative (RAII), aiming to accelerate AI adoption among small and medium-sized enterprises (SMEs).

The funding will support projects focused on both developing AI technologies and integrating AI into existing business operations. The government said the initiative will help SMEs improve productivity, develop innovative solutions and strengthen regional economic growth.

According to the government, the programme is expected to support more than 1,700 jobs across Quebec while helping businesses innovate more quickly, improve operational efficiency and seize new commercial opportunities. The announcement was made by Minister of Artificial Intelligence and Digital Innovation Evan Solomon on behalf of Industry Minister Mélanie Joly.

The investment forms part of Canada’s broader ‘AI for All’ strategy, launched in June 2026, which aims to expand access to AI, promote responsible adoption, strengthen domestic innovation and reinforce Canada’s digital sovereignty.

The Regional Artificial Intelligence Initiative will continue operating in Quebec until March 2031. Canadian officials said the programme is intended to strengthen regional innovation ecosystems, expand AI capabilities among businesses and position Quebec as a leading centre for AI talent and technological development.

According to the government, combining responsible AI adoption with targeted regional investment will strengthen competitiveness while ensuring the benefits of AI are shared more broadly across businesses and communities.

Why does it matter?

The initiative reflects Canada’s growing focus on regional AI development rather than concentrating investment solely in major technology hubs. Supporting AI adoption among SMEs could help spread productivity gains more widely across the economy while strengthening local innovation ecosystems.

The programme also illustrates how industrial policy is becoming an important component of national AI strategies. By combining public funding, regional development and responsible AI governance, Canada is seeking to strengthen long-term competitiveness while reinforcing domestic technological capacity.

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