Artificial intelligence Archives | Page 8 of 683

Google Cloud urges changes to EU tech sovereignty plans

Google Cloud has urged EU policymakers to revise parts of the European Commission’s Tech Sovereignty Package, arguing that some proposed cloud sovereignty measures could unintentionally isolate the European digital market.

In a policy statement, Giorgia Abeltino, Head of Government Affairs and Public Policy for Google Cloud in EMEA, said Europe requires significant investment in digital infrastructure to strengthen competitiveness, security and technological sovereignty. She said the EU is considering how to expand its digital footprint across chips, cloud adoption, and AI data infrastructure.

Google Cloud said it supports the Commission’s emphasis on openness, partnerships and fair competition, particularly measures aimed at interoperability and reducing vendor lock-in. It welcomed measures on interoperability, efforts to address vendor lock-in, an open source strategy for the public sector, and faster data centre deployment.

However, the company said certain elements of the proposed Cloud and AI Development Act should be changed to avoid unintended market isolation. Google Cloud said trusted global partners should be able to continue supporting Europe’s security and scaling goals under an open framework.

The company said its vision of technological sovereignty is based on verifiable technical controls, customer choice and continued investment in European digital infrastructure. It pointed to its sovereign cloud services, including standard public cloud configurations with European data boundaries, independently operated regional cloud services, and air-gapped solutions for sensitive public-sector operations.

Google Cloud also highlighted partnerships with European companies, including S3NS in France; Thales, Schwarz Group, and T-Systems in Germany; PSN in Italy; Clarence in Luxembourg; and Telefónica in Spain. It said these partnerships support operational resilience and jurisdictional controls under existing national tech sovereignty frameworks.

The company said the S3NS offering in France has been qualified under SecNumCloud 3.2. It also said Clarence and S3NS, together with Mistral, offer services approved by the EU Directorate-General for Digital Services for use by EU institutions with sovereign cloud needs.

Google Cloud also raised concerns about the proposed Union Assurance Levels within the Cloud and AI Development Act. It said harmonising sovereignty criteria across Member States is useful, but argued that the proposed criteria could limit or exclude global providers regardless of the security safeguards they offer.

The company said EU rules should allow technical approaches to sovereign control rather than relying too heavily on geographic criteria. The company cited its Cloud External Key Manager as an example of a technical sovereignty mechanism that allows customers to retain control of encryption keys outside Google’s infrastructure.

Google Cloud also called for the Cloud and AI Development Act to follow a more balanced approach similar to the proposed Industrial Accelerator Act. The company said trusted non-EU partners should be able to operate as EU-origin under clear conditions, backed by trade rules and safeguards.

The company also backed the package’s goal of promoting interoperability and reducing vendor lock-in. It said tech sovereignty should increase user choice and argued for reforms allowing users to move software licences freely, ensuring fair pricing for legacy software, and guaranteeing that software runs equally well on any cloud platform.

Google Cloud said physical compute infrastructure is central to digital tech sovereignty. It welcomed the ambitions of Chips Act 2.0 and the proposed €30 billion investment in European semiconductor research and development, but said Europe also needs regulatory conditions that attract large-scale compute infrastructure investment.

The company said it operates 13 European cloud regions and has recently invested in Germany, Belgium, and Sweden. It welcomed proposed special project status for data infrastructure projects to streamline permitting, grid access, and power purchase agreements.

Google Cloud said fast-track permitting should prioritise highly sustainable infrastructure projects. It also called for national sustainability criteria to align with the upcoming EU-wide rating scheme and said acceleration zones should not artificially restrict where new data centres can be built.

The company said Europe has an opportunity to build a resilient, competitive and open digital future. It said global innovation and European values can be advanced together through open source software, sovereign cloud partnerships and collaboration with European policymakers and regional partners.

Why does it matter?

The debate highlights a central challenge in Europe’s digital policy agenda: how to strengthen technological sovereignty without undermining openness, competition and access to global innovation. As the EU seeks greater control over critical digital infrastructure, cloud services and AI capabilities, policymakers must decide whether sovereignty should be defined primarily by ownership and geography or by technical safeguards and operational control.

The outcome could have significant implications for the future European cloud and AI market. Rules governing sovereign cloud services, data infrastructure and assurance standards will influence investment decisions, public-sector procurement, competition among providers and Europe’s ability to develop advanced AI capabilities. The discussion also reflects broader tensions between strategic autonomy and international technology partnerships that are increasingly shaping digital policy worldwide.

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China expands AI adoption across consumer economy

China’s Ministry of Commerce and seven other government departments have issued guidelines to accelerate the integration of AI into consumer markets.

The implementation document sets out 17 measures in five areas under an ‘AI plus consumption’ strategy. It aims to expand smart product consumption, support AI-enabled services and create new consumer scenarios.

For goods consumption, the guidelines call for a wider supply of AI products, upgrades to consumer electronics, household appliances and home products, and the development of smart wearable devices. They also promote AI-powered robots for elderly care, companionship and daily assistance.

For services, the measures encourage the use of AI in home services, elderly care, tourism, accommodation, catering and education. Examples include smart elderly-care facilities, AI-enabled tourism services and smart canteens in offices, schools and hospitals.

The guidelines also call for faster development of smart retail, deeper integration of AI with e-commerce and improved smart logistics networks at county, township and village levels. Authorities also want to expand delivery coverage in remote areas.

China will support ‘AI plus consumption’ clusters and AI experience centres, while encouraging rental, sharing and trial use of AI products in public venues. Local authorities are also encouraged to introduce subsidies for next-generation smart terminals and other AI-related consumer products under existing consumer goods trade-in policies.

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European Patent Office launches Data Desk innovation platform

The European Patent Office (EPO) has launched the Data Desk, a new platform designed to provide innovators, investors and policymakers with detailed insights into global technology, innovation and patent trends.

The initiative was unveiled at VivaTech 2026 in Paris and forms part of the EPO’s broader efforts to support innovation and technological competitiveness across Europe.

The platform combines patent statistics, technology trend analysis and data visualisation tools into a single publicly accessible resource. Users can explore developments across countries and technology sectors, while specialised technology maps provide deeper insights into strategic fields such as clean energy technologies and quantum computing.

Additional datasets covering AI, semiconductors, cybersecurity and other strategically important technologies are expected to be added in future updates.

A key feature of the Data Desk is a dedicated dashboard tracking the performance of more than 8,000 European deep-tech startups with patent filings. According to EPO data, startups with patent filings significantly outperform non-patenting counterparts in funding intensity, investment activity and job creation, highlighting the economic importance of intellectual property.

The launch comes as Europe seeks to strengthen technological sovereignty and reduce strategic dependencies in key sectors. By providing detailed patent intelligence and innovation data, the EPO aims to help decision makers identify emerging opportunities and support the development of Europe’s next generation of technology leaders.

Why does it matter?

The Data Desk gives policymakers, investors and businesses easier access to strategic innovation intelligence at a time when Europe is prioritising technological sovereignty.

Better visibility into patent activity, startup performance and emerging technologies could improve investment decisions, strengthen competitiveness and support European leadership in areas such as AI, semiconductors, quantum computing and cybersecurity.

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Japan and Australia deepen cybersecurity cooperation through policy dialogue

Japan and Australia held their seventh Cyber Policy Dialogue in Tokyo on 18 June, bringing together senior government officials to discuss cybersecurity strategy, emerging technologies and bilateral cooperation.

The whole-of-government meeting was co-chaired by Miyake Fumito, Japan’s Ambassador in charge of Cyber Policy and Deputy Director-General of the Foreign Policy Bureau at the Ministry of Foreign Affairs, and Jessica Hunter, Australia’s Ambassador for Cyber Affairs and Critical Technology at the Department of Foreign Affairs and Trade.

Officials from Japan’s Ministry of Foreign Affairs, National Cybersecurity Office, National Police Agency, Ministry of Defence, Ministry of Internal Affairs and Communications, and Ministry of Economy, Trade and Industry took part in the dialogue.

Australia was represented by officials from the Department of Foreign Affairs and Trade, the Department of Industry, the Australian Signals Directorate’s Australian Cyber Security Centre and the Department of Home Affairs.

The dialogue followed Japan’s enactment of the Cyber Response Capability Strengthening Act and the adoption of a new national Cybersecurity Strategy, providing an opportunity for both sides to exchange views on evolving cyber policy frameworks. Both sides exchanged views on their respective cybersecurity strategies and policies, as well as cooperation at bilateral and multilateral levels.

The meeting also built on the Japan-Australia Strategic Cyber Partnership, which Japanese Prime Minister Takaichi Sanae and Australian Prime Minister Anthony Albanese agreed to launch during their May summit.

Discussions covered defence and deterrence against cyber threats, capacity-building initiatives, public-private partnerships, AI-related security challenges and broader cybersecurity cooperation. Both governments reaffirmed their commitment to continued cooperation on cyber issues through bilateral mechanisms, including the Japan-Australia Cyber Policy Dialogue.

Why does it matter?

The dialogue reflects the growing strategic importance of cybersecurity in the Indo-Pacific region. As cyber threats increasingly target governments, critical infrastructure and advanced technologies, countries are placing greater emphasis on international cooperation to strengthen resilience, share expertise and coordinate responses to emerging risks.

The inclusion of AI alongside traditional cybersecurity issues also highlights the changing nature of digital security. AI is becoming both a tool for cyber defence and a potential source of new threats, making policy coordination increasingly important. Closer cooperation between Japan and Australia may help strengthen regional cybersecurity governance while supporting broader efforts to address technological and security challenges in multilateral forums.

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Greece and the European Commission strengthen AI cooperation for public services

Greece and the European Commission have reinforced cooperation on AI through a conference held during the BEYOND 2026 exhibition, bringing together policymakers, academics, technology experts and citizens to discuss the future of AI in Europe.

Speaking at the event, Minister of Digital Governance and Artificial Intelligence Dimitris Papastergiou emphasised the importance of responsible and innovative AI adoption to improve public services, drive digital transformation and strengthen Greece’s competitiveness.

European Commission Director-General for Translation Christos Ellinides outlined the EU’s approach to AI, highlighting initiatives that support innovation, multilingualism and digital transformation across member states.

Commission experts presented AI-powered multilingual services and digital tools designed to improve communication, accessibility and collaboration across the European Union. Discussions also explored the opportunities and challenges associated with AI deployment, while emphasising the importance of maintaining a human-centric approach to technological development.

The conference concluded with calls for closer cooperation between European institutions and national authorities to develop reliable, secure and human-centric AI systems. Organisers said the initiative reflects Greece’s commitment to advancing digital transformation and strengthening its role within the emerging European AI ecosystem.

Why does it matter?

The conference highlights how AI policy in Europe is increasingly being shaped through cooperation between EU institutions and national governments. As countries seek to deploy AI across public services, education and digital infrastructure, coordination will be important for ensuring interoperability, trust and compliance with European regulatory frameworks.

The event also reflects Europe’s broader approach to AI governance, which aims to balance innovation with safeguards related to transparency, security and fundamental rights. By promoting multilingual AI tools, citizen-centred services and cross-border collaboration, initiatives such as this support the EU’s wider objectives of digital sovereignty, competitiveness and inclusive digital transformation.

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Asian Development Bank launches digital transformation strategy focused on AI and inclusion

The Asian Development Bank (ADB) has launched a new digital transformation strategy aimed at helping countries across Asia and the Pacific harness AI and digital technologies while protecting vulnerable groups from associated risks.

According to ADB, the strategy will run from 2026 to 2030 and focus on expanding digital connectivity, strengthening digital skills, enhancing cybersecurity and privacy protections, improving data governance and promoting the responsible use of AI.

The bank said it will support the development of digital infrastructure, secure and interoperable systems, and measures to ensure that underserved communities can benefit from digital technologies.

ADB said it will also convene governments, private-sector actors and development partners to mobilise financing, share expertise and accelerate digital technologies initiatives across the regions.

Why does it matter?

The strategy reflects the growing recognition that digital transformation is becoming a key driver of economic development, public-sector modernisation and social inclusion. As AI, digital platforms and data-driven services become more important to competitiveness, countries with stronger digital infrastructure, skills and governance frameworks are likely to be better positioned to capture their benefits.

The initiative also highlights the need to balance innovation with safeguards. Expanding access to AI and digital technologies can create opportunities for growth and service delivery, but it also raises challenges related to cybersecurity, privacy, digital inequality and responsible AI governance. By combining investment in infrastructure with support for digital skills and governance, ADB is positioning digital transformation as both a development priority and a policy challenge for the region.

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OECD publishes AI literacy framework for schools

The Organisation for Economic Co-operation and Development (OECD) has published a new report, ‘Empowering Learners for the Age of AI‘, outlining an AI literacy framework for primary and secondary education.

According to the OECD, AI is becoming increasingly embedded in everyday digital life and is influencing civic, professional and social outcomes. The organisation argues that education systems must equip young people with the knowledge and skills needed to understand, evaluate and use AI responsibly.

The report defines AI literacy as a combination of knowledge, skills and attitudes that enable learners to understand how AI systems function, critically evaluate their outputs and use them ethically, responsibly and creatively.

The OECD said the framework outlines learning outcomes for primary and secondary students and is intended to support policymakers, educators, schools and families in fostering AI literacy both inside and outside the classroom. The report was published on 18 June 2026.

Why does it matter?

As AI becomes increasingly integrated into education, work, public services and everyday life, AI literacy is emerging as a foundational skill alongside traditional digital literacy. Understanding how AI systems operate, where their limitations lie and how their outputs should be evaluated will be important for informed participation in society and the economy.

The OECD framework also reflects a broader policy shift from focusing solely on access to technology toward developing the skills needed to use AI responsibly and critically. By providing a common reference point for educators and policymakers, the framework could help shape future curricula, teacher training programmes and national education strategies aimed at preparing students for an AI-enabled world.

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Research highlights growing use of AI chatbots for news

The growing use of generative AI tools such as ChatGPT and Google Gemini is beginning to reshape how audiences discover, access and engage with news, according to new research. While still representing a minority behaviour, usage is expanding rapidly across global markets, particularly among younger audiences and highly engaged news consumers.

Weekly use of AI chatbots for news has increased in recent years, although only around 1% of users currently identify them as their primary news source. Engagement is highest among news-interested and politically active users, while trust remains low overall but is higher among those already using AI tools.

Survey data suggests that users primarily turn to chatbots to ask follow-up questions, simplify complex stories, summarise information and evaluate the reliability of sources. Motivations include speed, clarity, and deeper contextual understanding, reflecting a shift toward more interactive and personalised news consumption.

The findings also raise concerns for publishers, as AI chatbots can answer user queries directly within their interfaces, potentially reducing referral traffic to news websites. Although search engines and social media remain the dominant sources of referral traffic, AI-powered ‘answer engines’ may push news organisations to invest more heavily in original reporting, verification and distinctive content that is harder to replicate through automated summaries.

Why does it matter?

The findings point to a significant shift in the digital information ecosystem. AI chatbots are changing how people discover and consume news by replacing traditional search and feed-based navigation with conversational interfaces that provide direct answers, summaries and contextual explanations.

This trend has important implications for journalism and platform governance. If users increasingly obtain information through AI intermediaries rather than visiting publisher websites directly, news organisations could face declining traffic, reduced advertising revenues and lower visibility for original reporting. At the same time, AI platforms may gain greater influence over how information is selected, interpreted and presented, raising questions about transparency, attribution, accuracy and media pluralism in the digital age.

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Digital Decade report showcases Spain’s progress in AI and connectivity

Spain has strengthened its position as one of the EU’s leading digital economies, according to the European Commission’s 2026 State of the Digital Decade report.

The assessment highlights Spain’s strong performance in connectivity, digital public services, AI adoption and digital skills, with the country outperforming the EU average across several key indicators.

The report notes that Spain remains a European leader in digital infrastructure. Spain has the highest share of internet connections delivering speeds of 100 Mbps or more and ranks second in fibre-optic coverage across the EU. Fibre networks now reach almost 96% of the population, while 5G coverage exceeds 99% nationwide and nearly 96% in rural areas.

The Commission also highlighted investments in submarine cables and connectivity programmes that have reinforced Spain’s role as a key digital gateway between Europe, Africa and Latin America.

Spain also continues to rank among the EU’s top performers in digital public services. The Commission cited improvements to the ‘Mi Carpeta Ciudadana’ platform, which expanded services and incorporated user feedback during 2025.

Spain also ranks among Europe’s best performers in prefilled administrative forms, helping citizens interact more efficiently with public authorities. Digital services for both citizens and businesses remain significantly above the EU average.

The report also highlights the growing adoption of advanced technologies by Spanish businesses. AI adoption among Spanish businesses increased from 11.3% in 2024 to 20.3% in 2025, slightly above the EU average.

Data analytics adoption reached 47.1%, while digitalisation among small and medium-sized enterprises continued to improve through initiatives such as Kit Digital, Kit Consulting and Acelera Pyme.

The Commission also highlighted Spain’s commitment to quantum technologies, cybersecurity resilience and digital skills development, with 66.5% of the population now possessing at least basic digital skills.

Why does it matter?

Spain’s performance illustrates how sustained investment in digital infrastructure, public services and innovation can translate into broader economic and technological competitiveness. High levels of fibre connectivity, widespread digital public services and growing AI adoption provide a foundation for productivity growth and support the country’s position within Europe’s digital economy.

The findings are also relevant to the EU’s broader ambitions around technological sovereignty. As Europe seeks to reduce strategic dependencies in critical technologies, countries such as Spain are becoming important contributors to the bloc’s digital capacity through investments in connectivity, cybersecurity, quantum technologies and digital skills. Continued progress in these areas will be important for meeting the EU’s 2030 Digital Decade objectives.

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Google AI advances beyond diagnosis into patient care

AMIE, a medical AI system designed for clinical reasoning, is being extended from diagnostic support into long-term disease management, according to new research published in Nature. The system uses advanced long-context AI models to interpret clinical guidelines, drug formularies and patient data across extended treatment periods.

Built on Google’s Gemini models, AMIE combines a conversational interface with a reasoning engine designed to cross-reference large volumes of clinical and medical knowledge. The approach enables continuous patient interaction alongside structured clinical decision support, particularly for chronic condition management.

In a blinded study involving simulated patient interactions, AMIE was evaluated against 21 primary care physicians and achieved performance comparable to clinicians in overall management reasoning. The system also achieved higher scores in treatment precision and adherence to clinical guidelines, suggesting potential for AI-assisted care models that support clinicians in ongoing decision-making.

Researchers plan to further assess AMIE in real-world healthcare environments, including nationwide studies focused on virtual care settings. Early findings suggest that AI tools could reduce administrative burdens and support clinical workflows, potentially allowing physicians to devote more time to direct patient care.

Why does it matter?

The research reflects a significant shift in healthcare AI, from supporting individual diagnostic decisions to assisting with the long-term management of chronic conditions. If such systems prove effective in real-world settings, they could help improve treatment consistency, support evidence-based care and reduce administrative workloads for healthcare professionals.

At the same time, expanding AI into ongoing patient management raises important questions about accountability, safety and oversight. Healthcare providers and regulators will need to determine how AI-generated recommendations are validated, how responsibility is assigned when errors occur and how patient trust can be maintained as AI becomes more deeply integrated into clinical care. The study therefore highlights both the potential and the governance challenges of the next generation of medical AI systems.

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