Artificial intelligence Archives | Page 8 of 668

AI and systemic risk analytics focus of Helsinki conference

The Bank of Finland and the European Systemic Risk Board are holding their 11th joint conference on AI and systemic risk analytics in Helsinki on 3 and 4 June.

The event focuses on how AI methods and new data sources can support financial stability analysis, while also creating new challenges for economies and financial markets.

The conference aims to present research on financial stability and systemic risk analysis using AI methods, novel techniques, and new data sources. Topics include the use of large language models and trustworthy AI, changing interdependencies in financial markets, cybersecurity and operational risks, and AI combined with quantum computing as a possible source of new systemic risks.

The programme also covers more traditional systemic risk analytics and macroprudential policy tools, including early-warning indicators, network and contagion analysis, macro stress-testing, big data analytics, market-based finance, and geopolitical risk modelling.

Speakers include Bank of Finland Governor and ESRB First Vice-Chair Olli Rehn, who will address systemic risk, resilience, and competitiveness in a changing technological landscape. Other sessions will examine systemic cyber risk in financial networks, AI and risk-taking in banking, generative AI in economics and finance research, and AI-related financial system interdependencies.

The hybrid conference will include keynotes, panel discussions, presentations, and poster sessions, with online participation available.

Why does it matter?

The conference shows that AI is becoming a financial stability issue, not only a tool for efficiency or market analysis. Central banks and systemic risk authorities are examining how AI can improve risk detection, stress testing, and data analysis, while also creating new vulnerabilities through cyber risk, operational dependencies, market interconnections, and potential herding behaviour.

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EU proposes Chips Act 2.0 to strengthen semiconductor ecosystem

The European Commission has proposed Chips Act 2.0, a new framework intended to strengthen Europe’s semiconductor ecosystem and build on the original European Chips Act.

The proposal aims to boost the EU’s competitiveness, technological sovereignty, and resilience while improving crisis preparedness in semiconductor supply chains. It forms part of the Commission’s wider European Technological Sovereignty Package, alongside the Cloud and AI Development Act, an Open Source Strategy, and a roadmap for digitalisation and AI in the energy sector.

The Commission says the EU remains structurally dependent on third countries for semiconductor design and manufacturing, including advanced and leading-edge chips needed for AI. It also points to gaps in crisis preparedness, noting that existing mechanisms rely heavily on voluntary information sharing outside crises and do not provide sufficient, timely supply-chain intelligence.

Chips Act 2.0 would support both mainstream and advanced semiconductors, including AI chips. Measures are expected to include stronger research and innovation support, faster permitting, supply-chain information tools, Semiconductor Regions of Excellence, skills investment, strategic projects, and innovation procurement.

The proposal also places greater emphasis on demand-side measures, including support for public procurement and industrial uptake of European semiconductor technologies. The Commission argues that stronger local demand can reinforce local supply, shorten supply chains, and better align European production capacity with the needs of strategic sectors.

The initiative complements the EU’s broader technological sovereignty agenda. The Commission says Chips Act 2.0 should help reduce strategic dependencies, improve security of supply, support industrial scale-up, and strengthen Europe’s role in semiconductor technologies needed for AI, cloud, defence, automotive, energy, and other critical sectors.

Why does it matter?

The Chips Act 2.0 shows how the EU is shifting from an emergency response to the global chip shortage to a broader semiconductor industrial strategy. The proposal links chip policy directly to AI competitiveness, cloud infrastructure, defence, energy, automotive supply chains, and technological sovereignty. Its emphasis on demand-side measures also matters: Europe is not only trying to attract semiconductor production, but also to create stronger domestic markets for European chip technologies.

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India and South Africa deepen cooperation on AI and emerging technologies

India and South Africa have agreed to strengthen bilateral cooperation in emerging technologies, with AI, digital infrastructure and advanced manufacturing identified as key areas for future collaboration.

The agreement was reached during a meeting between India’s Minister of Science and Technology, Dr Jitendra Singh, and South Africa’s Deputy Minister of Science, Technology and Innovation, Dr Nomalungelo Gina. Both sides emphasised the need to expand traditional scientific cooperation into innovation-driven partnerships aimed at delivering economic and societal benefits.

Discussions covered biotechnology, genomics, vaccine development, health technologies, renewable energy, hydrogen, advanced manufacturing and digital innovation. The two countries also explored opportunities to deepen cooperation in quantum technologies, geospatial technologies and digital infrastructure.

The meeting reaffirmed the long-standing scientific relationship between the two countries and concluded with a commitment to strengthen innovation ecosystems through research collaboration, startup partnerships, technology deployment and industry engagement.

Why does it matter?

India and South Africa are among the leading technology and innovation hubs in the Global South. Expanding cooperation in AI, digital infrastructure, healthcare and advanced manufacturing could help accelerate technological development while fostering greater knowledge exchange and investment opportunities.

The partnership also reflects a broader trend of emerging economies seeking to strengthen innovation ecosystems and reduce reliance on technology supply chains and platforms concentrated in a small number of countries.

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UNESCO promotes media literacy as response to online hate speech

UNESCO has announced a new issue brief examining how Media and Information Literacy (MIL) can help address the spread of hate speech, disinformation and other harmful content across digital platforms. The publication will be officially presented on 18 June, the International Day for Countering Hate Speech.

UNESCO argues that addressing online hate speech requires measures that extend beyond content moderation and regulation. According to UNESCO, strengthening critical thinking, ethical awareness and digital skills can help individuals better navigate information environments, assess online content and engage responsibly in digital spaces while respecting human rights and freedom of expression.

The brief presents Media and Information Literacy as a long-term educational approach to strengthening information integrity and building more resilient societies. UNESCO officials emphasise that sustainable solutions depend on combining governance measures with investments in education, digital citizenship and informed engagement with information.

The publication forms part of UNESCO’s wider efforts to promote information integrity and responsible digital governance. A related webinar will examine how digital platforms, AI and generative technologies can amplify harmful narratives and social polarisation, as well as strategies for fostering safer and more inclusive online environments.

Why does it matter?

The spread of hate speech, disinformation and other harmful content remains a major challenge for governments, platforms and civil society. While regulatory and moderation measures often focus on limiting harmful content, UNESCO argues that long-term resilience also depends on strengthening citizens’ ability to critically assess information and engage responsibly online.

The initiative reflects growing international interest in combining platform governance with education, digital literacy and information integrity efforts as societies adapt to the influence of AI-powered content creation and increasingly complex online information environments.

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OpenAI advocates for global action on youth AI safety

OpenAI has called for stronger international action on youth AI safety, including the creation of a dedicated institute to support common evidence, guidance, and safeguards for young users.

Ahead of the G7 Leaders’ Summit in Évian, France, the company said governments, researchers, civil society, and industry should work together to raise standards for safe and age-appropriate AI use by children and teenagers.

OpenAI said a dedicated youth AI safety institute could provide continuity beyond a single summit, helping stakeholders share evidence, develop guidance, and keep standards aligned with fast-moving AI systems. The company said such a body could take the form of a new international institute or an existing or newly created national AI institute with a global mandate.

The principles outlined by OpenAI include privacy-preserving age estimation, default safeguards when a user’s age is uncertain, annual youth safety risk assessments, accessible parental controls, clearer transparency about youth protections, and stronger protocols for serious safety situations involving self-harm, exploitation, grooming, sexually exploitative content, and other high-risk interactions.

The company also called for stronger protection of minors’ personal information, including prohibitions on privacy-invasive targeted advertising to young people and the sale of their personal information. It also said youth safety frameworks should promote AI literacy, learning, creativity, skill development, and future opportunities.

OpenAI said AI tools can help young people understand difficult concepts, practise languages, improve writing, learn to code, organise research, explore creative ideas, and prepare for changing labour markets. However, it argued that safeguards, family and educator guidance, and clear accountability mechanisms such as independent audits should support access.

The proposal builds on existing youth safety initiatives and education partnerships, including work with Common Sense Media, educators, and national education deployments in countries such as Estonia, Greece, and Singapore.

Why does it matter?

Youth AI safety is becoming a central policy issue as children and teenagers increasingly use AI tools for learning, creativity, social interaction, and everyday digital tasks. OpenAI’s proposal adds to pressure for international coordination on age-appropriate design, privacy, parental controls, safety protocols, and independent accountability. The G7 context also shows that youth AI safety is moving from product policy into broader debates over digital governance and education policy.

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UK publishers gain control over Google AI search content

Online publishers in the UK will be able to prevent their content from appearing in Google’s AI-generated search features without losing visibility in traditional search results, following new requirements introduced by the Competition and Markets Authority.

The measures are part of the CMA’s conduct requirements for Google’s search services under the UK’s digital markets competition regime. They are intended to give news organisations and other publishers greater control over how their content is used in AI-powered search products such as AI Overviews and AI Mode.

Publishers have argued that AI-generated summaries can reduce website traffic by providing users with key information directly in search results, limiting the need to visit original articles. Until now, opting out of Google’s AI features could also affect visibility in standard search results, creating a difficult choice for organisations that rely on search traffic to reach readers and generate revenue.

Under the new requirements, Google must give UK website owners more control over how their content and links appear in AI search features. Google will test new tools with selected UK sites before wider rollout, allowing publishers to opt out of AI-generated search features while remaining visible in traditional search results.

Google will also be required to provide clearer attribution and links to the publisher when publisher content appears in AI-generated results. The CMA said the measures are designed to improve transparency, support fairer dealing between publishers and Google, and help users understand where information in AI search results comes from.

The regulator described the measure as a world-first for Google’s search services. Further announcements concerning Google’s search business are expected from the CMA in the coming weeks.

Why does it matter?

The decision addresses one of the central tensions created by AI search: search engines can summarise publishers’ content while reducing users’ incentive to click through to the sources. By separating AI search opt-outs from traditional search visibility, the CMA aims to give publishers greater, more meaningful control without forcing them to sacrifice reach. The case could shape how other regulators approach attribution, content use, traffic diversion, and bargaining power between AI platforms and publishers.

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European Union unveils tech sovereignty plan to boost digital independence

The European Commission has presented a European Technological Sovereignty Package aimed at strengthening Europe’s capacity in semiconductors, AI, cloud infrastructure, and open source technologies.

The package includes two legislative proposals, the Chips Act 2.0 and the Cloud and AI Development Act, alongside an Open Source Strategy and a Strategic Roadmap for Digitalisation and AI in Energy.

The Commission said the measures are designed to support Europe’s ambition to become an AI continent, strengthen digital autonomy, build a more sustainable digital future, and widen choice in core technologies for businesses, citizens, and public administrations.

Rising global demand for computing capacity, driven by the spread of AI, has intensified concerns over Europe’s dependence on non-EU suppliers for core digital technologies. The Commission said the package is intended to reduce structural dependencies and ensure Europe can develop, deploy, and secure the technologies it relies on.

The proposed Chips Act 2.0 aims to strengthen Europe’s semiconductor capabilities, while the Cloud and AI Development Act focuses on expanding cloud and AI infrastructure. The Open Source Strategy is intended to support Europe’s software ecosystem, and the energy roadmap links digitalisation and AI to a more sustainable energy system.

Commission President Ursula von der Leyen said Europe cannot afford to depend on others for technologies that keep hospitals running, energy grids stable, and services secure. She said the package is about protecting citizens, defending European interests, and making independent technological choices.

Why does it matter?

The package brings several major EU technology priorities under one sovereignty agenda. By linking chips, cloud, AI infrastructure, open source, and energy digitalisation, the Commission is trying to reduce structural dependencies while strengthening Europe’s capacity to build, deploy, and secure critical technologies. The key test will be whether legislative proposals and strategies translate into investment, infrastructure, and industrial scale.

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MIT develops ChartNet dataset to improve AI chart understanding

MIT researchers have developed a new dataset, ChartNet, to improve how vision-language models interpret charts and other graphical data.

The dataset is designed to help AI systems better combine visual, numerical, and linguistic information, a task that remains difficult even for advanced models. MIT said chart understanding is important for applications such as business trend analysis, financial reporting, and scientific figure interpretation.

ChartNet contains more than one million synthetic chart images, each paired with supporting code, numerical tables, textual descriptions, and question-and-answer pairs. The dataset was created through an automated pipeline that generates and augments chart examples, supported by quality checks to ensure that the code is executable and the resulting charts are accurate and clean.

The researchers developed ChartNet to address a key limitation in current AI systems: the lack of large, high-quality training data for robust chart interpretation. Many existing datasets rely on limited chart images collected from the internet and lack the supporting information needed for models to understand the underlying data.

MIT researchers used ChartNet to train several open-source vision-language models, including IBM’s Granite Vision series. The dataset improved model accuracy across chart reconstruction, chart data extraction, chart summarisation, and chart question answering.

In MIT’s testing, smaller open-source models trained with ChartNet consistently outperformed much larger commercial models on several chart-interpretation tasks. The researchers said the dataset could help smaller organisations use AI for analytical work without relying only on large proprietary systems.

Why does it matter?

ChartNet shows how better training data can improve AI performance in specialised analytical tasks. If smaller open-source models can interpret charts more accurately after training on high-quality datasets, organisations with limited budgets may gain access to stronger AI tools for business analytics, research, financial reporting, and scientific communication. The work also highlights a broader point in AI development: model capability depends not only on size, but also on the quality and structure of training data.

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EU proposes Cloud and AI Development Act

The European Commission has adopted a proposal for the Cloud and AI Development Act to strengthen the EU’s cloud and AI ecosystem, investment, and infrastructure.

The proposal is intended to support broader deployment and adoption of AI by expanding cloud and data centre capacity across Europe. The Commission said the ongoing deployment of AI factories and AI gigafactories is designed to provide European businesses and researchers with access to high-capacity, next-generation computing resources.

The Cloud and AI Development Act is intended to complement those efforts by supporting the wider diffusion of AI through expanded cloud and data centre infrastructure. It will also complement the Apply AI strategy, which aims to boost AI and cloud adoption across Europe.

The proposal focuses on three objectives. The first is research, development, and innovation, supporting the next generation of cutting-edge and sustainable cloud and AI technologies. The second is capacity, accelerating the deployment of data centres across the EU, with a focus on facilities that enhance essential public sector functions.

The third objective is autonomy. The proposal would introduce a single EU-wide assessment framework for cloud and AI sovereignty, accompanied by a public-sector adoption mechanism.

The Commission said the Cloud and AI Development Act complements other initiatives, including Chips Act 2.0 and the EU Open Source Strategy, as part of efforts to build a more competitive, secure, and resilient European digital economy.

Why does it matter?

The proposal shows how the EU is treating cloud and data centre capacity as core infrastructure for AI competitiveness and digital sovereignty. AI factories and gigafactories may provide high-capacity computing resources, but wider AI adoption also depends on cloud infrastructure, sustainable data centres, and public-sector access to trusted services. The sovereignty assessment framework is especially important because it points to a more structured EU approach to assessing dependence, control, and trust in cloud and AI infrastructure.

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Anthropic offers ENISA access to advanced AI security model

Anthropic has invited the European Commission to facilitate access for ENISA, the EU agency for cybersecurity, to its cybersecurity-focused AI model Mythos, according to Bloomberg. The invitation followed a meeting between Anthropic and the Commission in San Francisco on 29 May. The EU must now establish a mechanism with appropriate security safeguards before access can be implemented; an ENISA official confirmed the agency does not currently have active access.

Anthropic unveiled Mythos in April, describing it as a model capable of identifying and exploiting cybersecurity vulnerabilities at a level that surpasses most human experts. Bloomberg reported on 2 June that ENISA was set to receive access to the model.

European Commission spokesperson Thomas Regnier welcomed the development, saying that access could help authorities build a clearer understanding of potential risks as increasingly capable AI models enter the market. The invitation follows calls from European policymakers and cybersecurity officials for greater access to advanced AI systems and for the development of comparable European capabilities.

Why does it matter?

The emergence of AI models capable of identifying software vulnerabilities at scale is reshaping cybersecurity risk assessments for governments, regulators and critical infrastructure operators. Access to such systems can help authorities better understand their capabilities, evaluate potential threats and develop appropriate safeguards.

For the EU, granting ENISA access to Mythos could support evidence-based policymaking and strengthen preparedness as increasingly powerful cybersecurity-focused AI models become available. The move also highlights a broader challenge: ensuring that public institutions can keep pace with rapidly advancing AI capabilities.

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