Artificial intelligence Archives | Page 3 of 677

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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Mavenir and Red Hat launch AI platform for telecom monetisation

Mavenir has announced an integrated AI platform developed with Red Hat that aims to help network operators monetise AI services through token-based consumption plans.

The platform is designed to allow operators to offer AI services in a manner similar to mobile data plans, with token-based usage billed through existing customer billing systems. Mavenir says operators will retain control over pricing, service-level agreements, and the models powering AI interactions.

According to Mavenir, the platform supports three operating models. Operators can use it to deliver their own branded AI services to subscribers, provide an AI infrastructure layer for AI grid deployments, or offer managed AI capabilities to enterprise customers on a token-based consumption basis.

The system uses Red Hat AI and Kubernetes infrastructure powered by Red Hat OpenShift. Mavenir says the architecture is designed to provide operators with a flexible, sovereignty-focused platform capable of running on-premises models and customised small language models for routine workloads.

The platform also supports policy-governed access to external frontier AI models for tasks requiring advanced reasoning or multimodal capabilities. Mavenir says operators can decide which model handles each request, who pays for it, and how it is billed.

Mavenir argues that operators can leverage existing billing and service-management systems to create new AI revenue streams, as token-based AI consumption mirrors familiar data-usage models. It said monthly AI token plans, enterprise quotas, and SLA-backed AI service tiers could create a new monetisation layer on top of connectivity.

The integrated AI platform combines Mavenir’s AI software platform with Red Hat’s enterprise Kubernetes and AI capabilities, delivered on validated hardware from third-party partners. The platform includes intelligent model routing, token optimisation, AI platform-as-a-service and MLOps capabilities, token charging, billing integration, closed-loop service assurance, zero-trust identity controls, and AI-specific security.

For enterprise customers, the platform enables operators to offer metered access to AI models, compute resources and AI tools as value-added services. For AI grid deployments, operators can use it as the compute and AI fabric for network-embedded AI applications and third-party workloads.

Operators can also use the platform to provide AI-powered products directly to subscribers, including AI assistant plans billed by token consumption, AI-enhanced network services, and operator-branded AI applications.

Mavenir says the platform is designed to support new AI revenue streams, predictable AI economics, data sovereignty, contractual SLAs for operator-managed AI services, and enterprise-grade security. The company will showcase the platform at DTW Ignite 2026 from 23 to 25 June.

Why does it matter?

Telecom operators are looking for ways to move beyond connectivity revenue as demand for AI services grows. Token-based billing could let operators package AI services in a familiar commercial model, using existing customer relationships, billing systems, and service-level agreements.

The announcement also points to a broader shift in AI infrastructure. By combining on-premises models, sovereign data controls, and selective access to frontier models, operators could position themselves as AI service providers for consumers, enterprises, and network-embedded applications rather than only as connectivity providers.

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Study raises concerns over AI-generated content on TikTok

New research from Kapwing suggests that AI-generated content now accounts for a significant share of videos shown on TikTok, raising concerns about content quality, authenticity and misinformation. The study suggests that nearly 59% of videos served to new users can be classified as AI-generated ‘slop’, with similarly high levels reported in feeds aimed at children.

Analysis across thousands of videos found that AI-generated material is particularly concentrated in the Kids category, where it accounts for around 57% of content. Science, education and health-related content also showed comparatively high levels of AI-generated production, while categories such as fitness, music and fashion remained largely dominated by human creators.

Researchers warn that the growing volume of AI-generated content could undermine information quality and increase exposure to misleading, repetitive or low-value material, particularly among younger audiences. Concerns focus on how algorithmic recommendation systems amplify such content, shaping early viewing experiences for new users.

In response, TikTok has introduced tools allowing users to adjust the amount of AI content in their feeds and launched initiatives aimed at improving AI literacy. Despite these measures, the findings suggest that AI-generated videos are becoming an increasingly prominent feature of the short-form social media ecosystem.

Why does it matter?

The findings highlight how generative AI is reshaping online content ecosystems by dramatically lowering the cost and effort required to produce large volumes of media. As recommendation algorithms prioritise engagement and scale, AI-generated content can spread rapidly, influencing what users see and how information is consumed.

The trend also raises broader questions about platform governance, content moderation and digital literacy. If synthetic content becomes increasingly difficult to distinguish from human-created material, platforms may face growing pressure to improve labelling, verification and recommendation systems. The issue is particularly significant for younger users and for content categories such as education, science and health, where misinformation can have wider societal consequences.

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AI reshapes capital markets as efficiency gains meet governance challenges

AI is rapidly transforming capital markets, moving beyond experimental pilots and into core financial infrastructure. Trading systems, cloud-native platforms and machine-learning tools are reshaping liquidity formation, price discovery and operational workflows.

International institutions increasingly view AI adoption not only as a driver of productivity but also as a governance challenge affecting market integrity, transparency, and trust.

The European Stability Mechanism reports a sharp rise in electronic trading across sovereign and supranational bond markets, with electronic volumes reaching around 60% and executed trades accounting for up to 80% of activity. The European Securities and Markets Authority (ESMA) highlights AI’s role in enhancing market intelligence through the analysis of unstructured data, including news flows and market sentiment signals.

Meanwhile, the European Central Bank (ECB) estimates that AI could reduce trading execution costs by 20% to 30%. Despite efficiency gains, risks persist, including amplified volatility, reduced explainability of trading decisions, and increased exposure to cybersecurity threats.

The World Bank Group demonstrates how AI can be embedded across treasury functions through in-house systems such as SHASTRA and ASTRA, which automate bond data processing, investor targeting, and validation workflows.

Developed using existing infrastructure, these tools reduce operational costs, improve accuracy and allow staff to focus on higher-value activities. The approach also reflects a broader institutional preference for maintaining human oversight in all high-impact decisions.

Looking ahead, capital markets are expected to become increasingly automated, with AI-driven trading, distributed ledger technologies and advanced compliance systems operating within more stringent regulatory frameworks. Frameworks such as the European Union AI Act are reinforcing expectations around data governance and model transparency.

Why does it matter?

AI is becoming a foundational technology in financial markets, influencing how assets are traded, priced and monitored. By improving data analysis, automating workflows and reducing transaction costs, AI has the potential to increase market efficiency and liquidity while helping institutions process growing volumes of information.

However, the shift also creates new governance challenges. As financial decisions become more dependent on complex AI models, regulators and market participants must address issues related to transparency, explainability, cybersecurity and systemic risk. The evolution of AI in capital markets therefore raises broader questions about how innovation can be balanced with financial stability, accountability and trust in increasingly automated financial systems.

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New task automation tools arrive in ChatGPT

ChatGPT has expanded its Scheduled Tasks functionality with a dedicated management page and improved task creation and editing workflows. Users can now create both one-time and recurring tasks, including requests for notifications when relevant updates or changes occur.

Tasks can be created directly through conversation or via the sidebar’s Scheduled page, offering greater flexibility in how automated reminders are set. Notifications can be delivered through push alerts and email across supported web and mobile platforms, subject to user permissions and device settings.

Some limitations remain, including restricted access to project-stored files and certain workspace environments.

Users can view, edit, pause or delete scheduled tasks either through settings or directly within conversations. The number of active tasks available depends on subscription tier, ranging from three on entry-level plans to fifteen on higher-tier subscriptions.

Feature constraints also apply, with voice chats and GPT-based workflows not supported in task creation, while availability extends across supported models and platforms globally.

Why does it matter?

The expansion of scheduled tasks accelerates the integration of AI chatbots into everyday digital infrastructure, shifting them from on-demand assistants to continuous workflow tools embedded in personal and professional routines.

It also reinforces the broader trend of automation in knowledge work, where AI systems increasingly handle monitoring, reminders, and information tracking at scale, reshaping expectations around productivity and real-time decision support.

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Spain’s data protection authority issues privacy guidance for video game industry

The Spanish Data Protection Agency (AEPD) has published a new guide outlining data protection recommendations for the video game industry, urging companies to embed privacy safeguards throughout the entire game lifecycle.

According to the AEPD, modern video games have evolved into complex digital ecosystems that collect, analyse and process significant volumes of personal data. This may include account information, gameplay activity, behavioural data and other user-generated information, creating potential privacy and security risks.

The guide notes that AI-enabled and online gaming services increasingly rely on data-driven business models, making compliance with the General Data Protection Regulation (GDPR) particularly important. The agency emphasised that privacy protections are especially important for children and other vulnerable groups, given their significant participation in online gaming environments.

The recommendations span the entire development process, from pre-production and design to post-launch operations, covering transparency obligations, data minimisation, profiling controls and cybersecurity measures. Privacy and responsible data practices should be integrated into games from design through to end-of-life in Spain.

Why does it matter?

The guidance reflects the growing importance of data protection in the gaming industry as video games increasingly function as connected digital platforms rather than standalone entertainment products. Online services, in-game economies, AI-powered features and behavioural analytics have expanded the volume and sensitivity of personal data processed by game developers and publishers.

The recommendations also highlight broader regulatory concerns around children’s privacy and responsible data use. As gaming platforms become more immersive and data-driven, regulators are placing greater emphasis on privacy-by-design principles, transparency and user control. The AEPD’s guidance signals that compliance with data protection rules is becoming an integral part of game development, not simply a legal requirement applied after products are launched.

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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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