Artificial intelligence Archives | Page 8 of 712

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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EU orders Google to open Android AI features

The European Commission has issued two sets of binding measures under the Digital Markets Act requiring Google to improve competition in AI assistants and online search.

The first decision requires Google to give competing AI services access to 11 key Android features on terms equivalent to those available to its own services, including Gemini.

Users will be able to activate their preferred AI assistant via voice commands and have it to perform tasks across apps, such as sending messages, booking services, or retrieving contextual information.

Alternative providers will also gain access to features covering device context, background execution, on-device models, system integration and automated actions, subject to user consent and security safeguards.

Google must implement most of the measures in Android 18 and no later than 1 August 2027. Concurrent voice activation for multiple AI assistants must be introduced with Android 19 by August 2028.

The second decision requires Google to share anonymised search data with eligible third-party search engines, including AI chatbots that provide online search functions.

The data may include queries, rankings, clicks and views that Google uses to improve its own search service. Recipients may use it to develop search technology, improve retrieval and ground AI-generated answers in current online information.

The measures do not require Google to share its search algorithms, and recipients cannot use the data to train general-purpose AI models or for advertising and consumer profiling.

Google must also establish a transparent application process and a pricing model based primarily on the costs of providing access.

The Commission said the measures are intended to expand consumer choice and prevent Google’s advantages in Android and search from limiting competition in AI services.

Why does it matter?

The decisions apply established DMA interoperability and data-access rules directly to the emerging AI market. Rival assistants could gain deeper access to Android, while search providers and AI chatbots may use Google’s data to improve retrieval and compete more effectively. The measures could lower barriers created by control over operating systems and search data, although implementation will require careful protection of privacy, cybersecurity and commercially sensitive information.

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Greece adopts national framework to implement EU AI Act

The Greek Parliament has approved the national implementing framework for the EU AI Act, making Greece one of the first member states to establish a comprehensive national system for enforcing the regulation.

The new law in Greece establishes the institutional framework for supervising AI systems, coordinating enforcement, supporting innovation and ensuring compliance with the EU AI Act.

The legislation designates the Hellenic Data Protection Authority (HDPA) as the central market surveillance authority and the Hellenic Telecommunications and Post Commission (EETT) as the notifying authority, while establishing a dedicated AI Coordination and Expertise Centre.

It also introduces complaint procedures, administrative sanctions, a national registry of AI systems used by public authorities, regulatory sandboxes for AI testing and criminal penalties for removing transparency labels from deepfake content.

Alongside the implementing framework, the government presented its broader national AI strategy, highlighting investments in infrastructure, data governance and research. These include the Daedalus supercomputer, the Pharos AI Factory, new high-performance computing infrastructure in Kozani, the data.gov.gr platform and partnerships with companies such as Mistral and ElevenLabs, which the government said will strengthen Greece’s AI capabilities and technological sovereignty.

The government said these initiatives form part of a coordinated strategy to strengthen Greece’s AI capabilities and technological sovereignty.

The minister also highlighted current and planned AI applications across the public sector, including tools to accelerate legal reviews at the Hellenic Cadastre and improve public access to parliamentary work through AI services for the Hellenic Parliament.

Additional provisions include the creation of a digital registry for accessibility infrastructure, which will integrate with the MyStreet application to improve mobility for people with disabilities.

Why does it matter?

The legislation gives Greece the institutional architecture needed to implement the EU AI Act while combining regulatory oversight with investment in AI infrastructure and innovation. By establishing supervisory authorities, regulatory sandboxes and governance mechanisms alongside major computing and data initiatives, Greece is seeking to align AI regulation with industrial and digital development.

The framework also illustrates how implementation of the AI Act is becoming a national governance exercise rather than simply a compliance task. As member states designate authorities and build supporting institutions, national implementation strategies are likely to shape how consistently the Act is applied across the EU.

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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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White House launches GOLD EAGLE cybersecurity initiative

The White House has announced the launch of GOLD EAGLE, a cybersecurity vulnerability coordination initiative established under President Donald Trump’s Executive Order 14410, Promoting Advanced Artificial Intelligence Innovation and Security.

According to the administration, the initiative brings together federal agencies, open-source software partners and operators of critical infrastructure to accelerate the identification and remediation of cybersecurity vulnerabilities using AI.

The initiative is being implemented through collaboration between the White House, the Department of the Treasury, the Department of Homeland Security, including the Cybersecurity and Infrastructure Security Agency (CISA), and the Department of War. The administration said GOLD EAGLE is intended to reduce duplicative vulnerability scanning, improve exploit detection and provide prioritised threat and remediation information to government and private-sector defenders.

According to the announcement, GOLD EAGLE has already begun receiving and prioritising reported cybersecurity vulnerabilities from multiple sectors, coordinating verification efforts and supporting remediation activities. The White House said the initiative represents a new operational model for cyber defence that combines government resources with private-sector capabilities to strengthen the resilience of critical infrastructure and software systems.

Why does it matter?

GOLD EAGLE marks a shift towards more centralised public-private coordination of cybersecurity vulnerability management in the USA. By combining AI-assisted vulnerability prioritisation with information sharing across government agencies and critical infrastructure operators, the initiative aims to accelerate the detection and remediation of cyber threats.

It also reflects the Trump administration’s broader strategy of linking AI innovation with national cybersecurity and critical infrastructure protection.

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UAE highlights AI-driven labour market strategy at BRICS meeting

The United Arab Emirates presented its AI-driven labour-market policies at the 2026 BRICS Labour and Employment Ministers’ Meeting in India.

The country highlighted public-private cooperation, adaptable legislation and investment in AI as part of its approach to workforce development.

UAE Minister of Human Resources and Emiratisation Abdulrahman Al Awar said AI is being used to forecast labour-market needs, identify future skills and support data-based decision-making.

He also said digital platforms are helping strengthen worker protection through wage monitoring, occupational safety systems and labour dispute-resolution tools.

The UAE pointed to growth in its labour market, saying private-sector employment had more than doubled over the past five years, registered companies had increased by 46%, and women’s participation had risen by 109%.

The government said its AI-supported skills initiatives are intended to align education and training with future labour-market needs.

BRICS members concluded the meeting by adopting a joint declaration focused on social protection, skills development, workforce participation and digital transformation.

The UAE said it remains committed to international cooperation on building more resilient and inclusive labour markets.

Why does it matter?

The UAE’s presentation shows how governments are increasingly using AI and digital platforms for labour-market planning, skills forecasting and worker-protection systems. The approach reflects a wider shift in employment policy, where competitiveness depends not only on automation and productivity, but also on whether countries can prepare workers for new skills demand, protect labour rights and adapt regulation as work changes.

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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.

WHO convenes global summit on AI governance in healthcare

The World Health Organization has brought ministers and senior officials from 37 countries to Lisbon to develop a shared approach to AI health governance, patient safety and equitable access to emerging technologies.

The global conference, co-hosted by WHO/Europe and the Portuguese government, brings together representatives from all six WHO regions, alongside leaders from the European Commission, the World Bank, the Wellcome Trust, the Aga Khan University and the Gates Foundation.

WHO said its assessment of AI readiness across the European Region revealed a substantial gap between AI adoption and governance. Nearly two-thirds of countries already use AI in diagnostics, but only 8% have a health-specific AI strategy and only 8% have standards defining liability when AI systems fail.

The Lisbon meeting is organised around three pillars: regulation and accountability, tools and infrastructure for safe deployment, and the people and institutions responsible for implementing AI in practice. Rather than promoting a single model, WHO is exploring how countries at different levels of digital development can adapt common governance principles to their own health systems.

Discussions cover legal accountability, ethics, data governance, interoperability, workforce preparation and responsible investment. Participants also stressed that effective AI governance will be essential to ensure AI narrows rather than widens inequalities between well-resourced and under-resourced health systems.

The conference also includes a meeting involving Angola, Brazil, Cabo Verde, Portugal, São Tomé and Príncipe, and Timor-Leste. The session is intended to lay the foundations for cooperation on AI and health among Portuguese-speaking countries.

WHO Regional Director for Europe, Hans Kluge, said governments need a shared approach to governance, workforce training and equitable access. He warned that people are increasingly consulting generative AI chatbots about medical symptoms before speaking with healthcare professionals, highlighting the urgency of effective governance.

The conference opened with technical discussions on 13 and 14 July involving researchers, clinicians and international organisations. Ministerial sessions on 15 and 16 July are expected to translate those discussions into a practical agenda for international cooperation.

Why does it matter?

The conference reflects a growing recognition that healthcare is becoming one of the most important sectors for AI governance. As hospitals and health systems adopt AI more rapidly, governments are increasingly seeking common approaches to accountability, patient safety and regulatory oversight.

WHO’s findings also expose a widening governance gap: many countries are already deploying AI in clinical settings without dedicated strategies or clear liability frameworks. International cooperation could help countries develop compatible governance approaches while reducing inequalities in access to safe and trustworthy AI-enabled healthcare.

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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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