Artificial intelligence Archives | Page 25 of 682

EU strengthens AI Act enforcement with new expert bodies

The European Commission has appointed two new expert bodies to support the implementation and enforcement of the EU’s AI Act. The Scientific Panel and Advisory Forum will provide independent expertise to the Commission’s AI Office and national authorities responsible for supervising compliance with the regulation.

The Scientific Panel comprises 60 independent experts from fields including frontier AI research, engineering, technical auditing, industry, and societal impact assessment. The panel will focus on general-purpose AI (GPAI) models and systems, systemic risk assessment, model classification, evaluation methodologies, and cross-border market surveillance.

Alongside the panel, the Commission has established an Advisory Forum bringing together representatives from academia, civil society, industry, startups and SMEs. The forum will provide technical advice on implementation challenges, standardisation efforts, and broader issues related to the enforcement of the AI Act.

Several EU agencies will hold permanent seats in the forum, including the European Union Agency for Fundamental Rights (FRA) and the European Union Agency for Cybersecurity (ENISA). Members of both bodies will serve two-year terms and are expected to contribute to the consistent application of the AI Act across the European Union.

Why does it matter?

The AI Act introduces a comprehensive regulatory framework for AI systems in the EU, including specific obligations for general-purpose AI models.

The new expert bodies are intended to strengthen the Commission’s technical capacity, support coordinated enforcement across Member States, and provide independent expertise on emerging risks, standards, and compliance challenges as AI technologies continue to evolve.

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France secures a €75 billion SoftBank investment for AI data centres

SoftBank Group has announced plans to develop and operate 5 GW of AI data centre capacity in France, representing an investment of up to €75 billion.

The commitment was announced at the 2026 Choose France summit and marks SoftBank Group’s largest AI infrastructure investment in Europe. The company said the project is designed to expand access to high-performance computing capacity and strengthen France’s role as a European hub for AI infrastructure.

The first phase includes an initial €45 billion investment to deliver 3.1 GW of AI data centre capacity in the Hauts-de-France region by 2031. Planned sites include Dunkirk, Bosquel, and Bouchain, with additional projects expected elsewhere in France.

The infrastructure is intended to support demand for high-performance computing from AI companies, cloud providers, enterprises, public institutions, and research organisations.

A major component of the initiative is a strategic industrial partnership with Schneider Electric. The companies will establish a large-scale industrial production cluster at the Port of Dunkirk focused on data centre infrastructure.

The cluster will include two facilities: one operated by SoftBank Group to manufacture enclosures, and one operated by Schneider Electric to integrate data centre power modules. The partnership will combine SoftBank’s robotics and automation capabilities with Schneider Electric’s energy technology expertise and local supply chain network.

SoftBank said the project is expected to create thousands of high-skilled jobs across data centre development, engineering, energy systems, robotics, operations, maintenance, and advanced manufacturing. The company also plans to support regional research and development through partnerships with universities, engineering schools, and training institutions.

Why does it matter?

SoftBank’s project would significantly expand Europe’s AI compute capacity at a time when data centres, energy infrastructure, and advanced manufacturing are becoming central to AI competitiveness. The investment also links digital sovereignty with industrial policy: France is not only seeking more AI computing infrastructure, but also a localised supply chain for data centre equipment, power systems, robotics, and technical skills.

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European Investment Bank backs Allegro for AI expansion

The European Investment Bank has agreed to provide Polish e-commerce platform Allegro with a PLN 1 billion loan to support research, development, and AI initiatives.

The financing marks the largest private-sector research and development programme backed by the EIB in Poland and is intended to support Europe’s digital competitiveness and digital sovereignty.

The funding will cover nearly 40% of Allegro’s planned expenditure on research, development, and innovation in the coming years. The company plans to expand its use of AI, improve customer services, develop next-generation delivery systems, and strengthen its digital marketplace.

The investment forms part of the EIB Group’s TechEU initiative, which aims to support investment in strategic technologies, including AI, clean technology, and quantum computing. Allegro said the financing will support work by software engineers, data scientists, and AI specialists, while helping the company develop new algorithms, models, and system architectures.

Allegro is one of Europe’s largest homegrown online marketplaces and controls about a third of the Polish market. It is also expanding in Czechia, Slovakia, and Hungary, giving small and medium-sized enterprises access to new customers across the region.

The EIB said planned investments in several technical centres in Poland would also support social and territorial cohesion in the EU.

Why does it matter?

The loan shows how EU-backed financing is being used to support AI adoption and digital innovation in European platform companies. For the EIB, the Allegro deal fits into a wider push to strengthen Europe’s digital and industrial competitiveness through investment in strategic technologies. For Central and Eastern Europe, it also supports regional digital infrastructure, technical skills, and marketplace innovation.

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Australia’s CEDA event to examine AI-generated threats and trust

The Committee for Economic Development of Australia (CEDA) will host an event in Brisbane examining the impact of AI-generated scams, synthetic media and the challenge of maintaining trust in digital environments. The discussion will focus on the economic and reputational risks posed by deepfakes, voice cloning, phishing campaigns and fraudulent online services.

The event, titled ‘The scam economy: How to manage AI-generated threats and build trust’, will examine how businesses can maintain trust with stakeholders when visual, audio, and written material can be generated or manipulated using AI. It will bring together communications, cyber, technology, finance, and policy experts.

The discussion comes ahead of the entry into force of Australia’s Scams Prevention Framework Act 2025 on 1 July. Under the new framework, banks, telecommunications providers and digital platforms will be required to take proactive steps to prevent, detect and respond to scam activity.

CEDA says the event will explore how businesses can manage the economic risks of AI-generated fraud as synthetic media becomes more accessible and harder to identify. The programme will be held at Pullman King George Square in Brisbane.

Why does it matter?

Advances in generative AI are making it easier and cheaper to create convincing fake content, including images, videos, voices and websites. These tools are increasingly being used in fraud schemes that target consumers, businesses and public institutions.

As AI-generated deception becomes more sophisticated, organisations face growing challenges in maintaining trust, verifying authenticity and protecting users from scams. The discussion reflects broader efforts by governments and industry to adapt regulatory and security frameworks to emerging AI-related risks.

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Meta turns to subscriptions amid growing AI infrastructure costs

Meta has launched paid subscription plans for Facebook, Instagram and WhatsApp as part of a broader effort to diversify revenue beyond advertising. The new offerings form part of a subscription strategy called ‘Meta One‘.

Meta said the subscriptions include additional features for users, while separate premium offerings for creators, businesses and Meta AI users are currently being tested. The company indicated that these future services will also sit under the Meta One umbrella.

The announcement comes as Meta continues to increase spending on AI infrastructure. The company has projected capital expenditure of between USD 125 billion and USD 145 billion in 2026, much of it linked to AI data centres, increasing investor attention on how those investments will generate returns.

According to Euronews, Meta shares rose following the announcement. The company said subscription products will roll out globally, while some future Meta One offerings are expected to begin testing in selected markets outside the EU.

Why does it matter?

The launch of Meta One marks a further shift in Meta’s business strategy as the company looks to diversify revenue beyond digital advertising. Subscription services could provide new income streams while supporting investments in AI infrastructure and premium digital products.

The move also reflects a broader trend among technology companies seeking alternative business models as competition intensifies and AI development costs continue to rise.

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OECD links AI openness to innovation and economic growth

The Organisation for Economic Co-operation and Development has published a discussion paper for the G7 on the potential economic and strategic benefits of AI openness.

The paper, prepared at the request of France’s 2026 G7 Presidency, is intended to inform discussions in the G7 Digital and Technology Working Group ahead of the G7 Digital and Technology Ministerial Meeting in Paris.

AI openness is defined by the OECD as the broad public availability and ease of access to key artefacts and documentation across the AI stack, including model weights and code, datasets, documentation, safety tooling, and compute resources. The paper examines how openness can affect economic outcomes, innovation dynamics, and national or regional AI ecosystems.

The OECD says open-weight AI models are becoming increasingly competitive with proprietary alternatives. According to the paper, open models achieve approximately 90% of the performance of closed models at launch, while often being available at significantly lower cost, resulting in a higher quality-to-price ratio.

The paper also finds a positive and statistically significant relationship between AI open-source activity and economic growth across the 33 countries analysed. Using GitHub contributions as a proxy for AI openness, the OECD says the evidence suggests the potential economic benefits of open-source AI activity.

Beyond economic performance, the OECD says AI openness can support stronger and more resilient national AI ecosystems by expanding access to models, data, and tools. Open approaches can shift value creation towards downstream layers of the AI stack, where start-ups, small and medium-sized enterprises, public institutions, and other actors can adapt systems to local or sector-specific needs.

The paper also links AI openness to technological sovereignty and strategic autonomy. It says local deployment and adaptation of models can help organisations and governments retain control over sensitive data, reduce dependence on external providers, and support transparency, auditability, and trust.

The OECD notes that the paper focuses on the benefits of AI openness, while potential risks and downsides fall outside its scope and are left for future research.

Why does it matter?

The paper adds economic and strategic arguments to the debate over open AI. For policymakers, openness is not only a technical design choice but a question of innovation diffusion, local value creation, competitiveness, and dependence on foreign providers. However, because the paper focuses mainly on benefits, its conclusions should be read alongside separate work on the safety, misuse, security, and governance risks of more open AI systems.

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Canada pushes digital innovation agenda at G7 Digital Ministers’ Meeting

Canada highlighted AI, quantum technologies, and digital innovation during the 2026 G7 Digital Ministers’ Meeting in Paris, where ministers discussed responsible technology development and economic competitiveness.

Minister Evan Solomon engaged with counterparts and industry leaders on strengthening cooperation in AI and quantum research. Canada and France signed a joint statement to expand cooperation in quantum science through joint research, knowledge sharing and workforce development initiatives.

Discussions at the G7 and related business forums emphasised the importance of aligning public policy and industry innovation to support the adoption of emerging technologies. Priorities included secure AI deployment, digital resilience, and ensuring that technological progress supports inclusive economic growth.

Canada also announced new international partnerships, including projects applying AI to medical diagnostics and surgical support systems. Officials emphasised that trusted global cooperation remains central to ensuring that innovation delivers both economic value and wider societal benefits.

Why does it matter?

International coordination on AI and quantum technologies is becoming increasingly important as these systems move from research settings into core areas of economic activity, healthcare, and industrial production.

Stronger cooperation between governments and industry can help shape common standards, reduce fragmentation in digital policy, and ensure that technological innovation translates into sustainable growth and broadly shared benefits.

The Canada–France partnership and broader G7 discussions reflect growing efforts to shape common approaches to emerging technologies while supporting their adoption across sectors such as healthcare, industry and digital infrastructure.

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G7 agrees on the first common principles on protecting children online

G7 digital ministers have agreed a shared set of principles for protecting children and young people from online harm for the first time, marking the first coordinated approach adopted by the group on the issue. The agreement, reached during talks in Paris, sets shared principles for addressing risks linked to harmful content, exploitation and the use of AI chatbots.

The principles call for stronger digital literacy, robust online safety practices by digital service providers and safety measures built into digital services from the start. The agreement also sets expectations for effective age assurance and closer cooperation between providers, children, parents and guardians.

Ministers also called for improved access to data and research on how digital services affect children’s well-being, including greater cooperation among platforms, researchers and families. UK Science and Technology Secretary Liz Kendall said: ‘The agreements we have reached today are an important step on that journey: outlining a shared approach to protecting our children, backing our small businesses to adopt AI, and ensuring AI is developed safely and responsibly.’

The G7 also reaffirmed its commitment to promoting trustworthy AI while continuing discussions on assessing and managing AI-related risks. Under France’s presidency, members agreed to continue discussions on a mutual understanding of AI risk assessment frameworks, including in relation to cyberattacks and chemical and biological capabilities.

Ministers also backed support for small and medium-sized enterprises to adopt AI through a tool developed with the Organisation for Economic Co-operation and Development (OECD). G7 members also agreed a Vision on AI Openness and committed to further work on AI-generated content detection, secure AI systems, trusted data flows, and resource-efficient digital and AI infrastructure.

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Finland proposes rules for EU Cyber Resilience Act

The Finnish Government has proposed the approval of national provisions supplementing the EU Cyber Resilience Act, which sets cybersecurity requirements for products with digital elements.

The legislation will enter into force on 1 June 2026, with phased application aligned with the Cyber Resilience Act’s transitional periods during 2026 and 2027. The aim is to improve the cybersecurity of connected devices and software placed on the EU market.

The Cyber Resilience Act will be supplemented in Finland by a new national act on the cyber resilience of certain products and cybersecurity certification. The act covers supervision of product-related obligations, notification of conformity assessment bodies under the Cyber Resilience Act, administrative sanctions, and national provisions linked to the EU cybersecurity certification.

Market surveillance under the Cyber Resilience Act, along with the designation and supervision of notified bodies, will be assigned to the Finnish Transport and Communications Agency, Traficom. Market surveillance of high-risk AI systems will be carried out by the authorities responsible for supervising compliance with the AI Act, depending on the sector.

Conformity assessment bodies will be able to apply to Traficom from 11 June 2026 to be notified for assessment tasks under the Cyber Resilience Act. Bodies notified by Finland will be able to carry out conformity assessments across the EU member states within their area of competence.

Finland will also add a new chapter to the Act on Electronic Communications Services concerning the collection and disclosure of domain name registration data under the NIS2 Directive. The obligations will extend beyond .fi and .ax domains where the registrar or top-level domain registry is located in Finland, after a three-month transitional period.

The Government said the domain name provisions will complement Finland’s national implementation of NIS2 and improve the availability of registration data, making it easier to tackle illegal activity online.

Why does it matter?

Finland’s legislation shows how EU cybersecurity rules are being translated into national enforcement structures. The Cyber Resilience Act sets product security obligations at the EU level, but member states still need national provisions for supervision, notified bodies, sanctions, and certification. The added NIS2 domain registration rules also show how cybersecurity implementation is expanding beyond products into online infrastructure and data availability for enforcement.

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Anthropic launches Claude Opus 4.8 with improved reasoning capabilities

Anthropic has introduced Claude Opus 4.8, an upgraded version of its flagship AI model, with improvements across coding, agentic tasks, reasoning, and practical knowledge work.

The company said the model builds on Claude Opus 4.7 and is available at the same regular pricing. Anthropic also said that fast mode for Opus 4.8 can run 2.5 times as fast and is now 3 times cheaper than fast mode for previous models.

A key focus of the release is reliability. Anthropic said early testers found Opus 4.8 sharper in judgement when performing agentic tasks, more likely to flag uncertainty, and less likely to make unsupported claims. The company’s evaluations also found the model to be around four times less likely than its predecessor to leave flaws in its own code unremarked.

New features include dynamic workflows in Claude Code, available in research preview, allowing Claude to plan and run hundreds of parallel subagents in a single session for large-scale tasks. Anthropic said the feature can support codebase-scale migrations across hundreds of thousands of lines of code.

Users on claude.ai and Claude Cowork can also control how much effort Claude applies to a response. Higher effort settings are designed to improve quality for difficult tasks, while lower effort settings allow faster responses and slower use of rate limits.

Anthropic also reported stronger alignment results for Opus 4.8 compared with Opus 4.7. Its alignment assessment found lower rates of misaligned behaviour, such as deception or misuse of cooperation, and stronger support for user autonomy and user interests.

The model is available across Anthropic’s platforms, and developers can access it through the Claude API using the claude-opus-4-8 model name.

Why does it matter?

Claude Opus 4.8 shows how frontier AI competition is moving beyond benchmark performance towards reliability in professional workflows. Features such as effort control, dynamic workflows, cheaper fast mode, and stronger agentic task performance point to a market shift in which AI systems are expected to manage longer, more complex work in coding, research, analysis, and enterprise operations while giving users greater control over cost, speed, and reasoning depth.

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