Artificial intelligence Archives | Page 16 of 677

ILO calls for stronger EU action on mental health, AI and climate risks at work

The International Labour Organization has called for occupational disease prevention, mental health risks, AI, and climate change to become central elements of the European Union’s future workplace health and safety agenda.

The intervention was delivered during a European Parliament hearing on the EU strategic framework on occupational safety and health after 2027.

The ILO stressed that while Europe has reduced fatal workplace accidents, occupational diseases now account for more than 98% of work-related deaths in the EU. Cancer, respiratory diseases, and circulatory diseases remain the leading causes, underscoring the need for stronger prevention, better labour inspection, and improved recognition of work-related illness.

The organisation also highlighted emerging risks linked to digitalisation and environmental change. AI-driven systems are reshaping working conditions through algorithmic management, surveillance, and automated decision-making, while psychosocial pressures and mental health risks are becoming a growing concern for workers.

Climate change was also identified as a major occupational safety and health challenge, with rising temperatures and extreme weather events increasing risks across European workplaces.

The ILO urged the EU policymakers to integrate these evolving risks into a renewed strategic framework, alongside stronger international cooperation and prevention-based approaches. It said Europe can help shape global workplace safety standards through coordinated regulation, effective prevention, and sustainable working conditions.

Why does it matter?

The ILO’s intervention shows how workplace safety policy is expanding beyond traditional accident prevention. AI systems, algorithmic management, psychosocial risks, occupational disease, and climate-related hazards are becoming part of the same strategic debate. For the EU, the post-2027 framework will be a test of whether workplace regulation can adapt to technology-driven work organisation, demographic pressures, and climate volatility.

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European Central Bank warns banks to strengthen resilience as AI reshapes cyber threats

Europe’s banking sector must strengthen its operational resilience as AI transforms the cyber threat landscape and increases systemic risks, according to the European Central Bank (ECB). Speaking at a financial conference, Executive Board member Frank Elderson warned that technological disruption and geopolitical fragmentation are increasing pressure on financial infrastructure.

The ECB said Europe’s reliance on external providers for technology, energy and financial services creates vulnerabilities that could expose critical functions to operational disruptions. While banks remain financially stable, their ability to maintain critical services during cyberattacks or system failures has become key to long-term competitiveness and stability.

According to the ECB, AI is accelerating cyber risks by lowering barriers to sophisticated attacks, enabling faster identification of vulnerabilities and expanding the range of actors capable of conducting cyber operations. While supervisors have strengthened oversight through measures such as stress testing and the implementation of the Digital Operational Resilience Act (DORA), the ECB warned that cyber and operational risks continue to evolve rapidly.

Authorities are now urging banks to invest more heavily in systems, governance, and third-party risk management to ensure continuity of services under stress. The ECB emphasised that operational resilience should be viewed not only as a technical challenge but as a strategic priority for maintaining trust in financial services and supporting Europe’s wider economic transformation.

Why does it matter?

Financial stability increasingly depends not only on the financial health of banks but also on their ability to maintain critical services during cyber incidents, technology failures and operational disruptions.

As AI enables more sophisticated cyberattacks and financial institutions become more dependent on complex digital infrastructure and third-party providers, regulators are placing greater emphasis on operational resilience as a core component of financial stability, economic competitiveness and public trust.

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US SEC outlines roadmap for market growth, digital assets and investor protection

The US Securities and Exchange Commission (SEC) has released a draft strategic plan outlining its priorities for the coming years, with a focus on investor protection, market efficiency and capital formation.

The agency is seeking public feedback on the proposal, which also highlights the growing importance of digital assets and emerging technologies within the financial system.

Under the plan, the SEC aims to modernise its regulatory framework by supporting innovation while maintaining market integrity. Among its objectives is the development of a clearer and more consistent regulatory approach to digital assets and distributed ledger technologies, with the aim of providing businesses and investors with greater certainty.

The regulator also intends to strengthen engagement with market participants and review existing rules to improve compliance and effectiveness. The draft plan states that enforcement should focus on fraud, market manipulation and violations of existing laws, rather than relying on expansive interpretations of regulatory authority.

Technology modernisation is also a key component of the strategy, including plans to upgrade legacy systems and expand the use of technologies such as AI and blockchain. According to the SEC, these improvements could enhance oversight capabilities, reduce operational costs, and improve efficiency across the agency.

Why does it matter?

The SEC plays a central role in regulating the world’s largest capital market, making its approach to digital assets and emerging technologies influential beyond the United States. Greater regulatory clarity could affect how businesses develop blockchain-based services, how investors engage with digital assets and how other jurisdictions shape their own regulatory frameworks.

The proposal also signals a broader shift towards integrating AI and advanced technologies into financial supervision, reflecting growing efforts by regulators to adapt to increasingly digital and technology-driven markets.

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New Washington initiative targets legal frameworks for collective cyber defence

A new policy coalition has been launched in Washington to develop frameworks governing collaboration between government agencies and private companies on cyber operations, amid growing concerns that unresolved legal questions are limiting deeper cooperation.

Venable’s Center for Cybersecurity Policy and Law established the Cyber Operations Policy Coalition this week. The coalition aims to bring together industry representatives, government officials, legal experts, academics and civil society organisations to develop policy frameworks for collective cyber defence.

Corporate members include Microsoft, Lumen, Halcyon, Autonomous Cyber, and Voreas Labs. Non-corporate members span think tanks and academic institutions, including the Foundation for Defense of Democracies, the Cyber Threat Alliance, the Institute for Security and Technology, McCrary Institute for Cyber and Critical Infrastructure Security, and American University’s Tech, Law, and Security Program. The International Committee of the Red Cross and the Stimson Center participate as observers.

The coalition is coordinated by Stacy O’Mara and advised by a panel that includes former NSA Cybersecurity Director Rob Joyce, former CISA official Bryan Ware, and former Representative Jim Langevin.

During the launch event, current and former officials identified legal authorities, liability arrangements and operational rules as key areas requiring clarification before public-private cyber collaboration can expand at scale. Katie Sutton, assistant secretary of defence for cyber policy, noted that legal expertise would be central to closer integration, pointing to existing authority frameworks on both the government and industry sides.

Tonya Ugoretz, head of PwC’s Cyber & Risk Innovation Institute, highlighted the need for clearer liability frameworks to enable cyber operations without requiring case-by-case authorisation.

The initiative reflects the structure of the cyber domain, where much of the internet and critical infrastructure is privately owned, making companies both potential targets of cyberattacks and key partners in cyber defence efforts.

Several parallel developments add context to the coalition’s launch. The Joint Cyber Defense Collaborative, the CISA-led body for public-private cyber coordination, is mapping both defensive and potential offensive options for use in geopolitical crisis scenarios involving major infrastructure providers, according to JCDC deputy assistant director Matt Springer.

The US military has also more openly discussed offensive cyber operations in recent months, while Congress is considering a proposal for a dedicated cyber service branch.

The emergence of increasingly capable AI systems with cybersecurity applications has further expanded the range of technical, operational and legal questions facing policymakers.

Why does it matter?

Cybersecurity increasingly depends on cooperation between governments and private companies because much of the infrastructure targeted by cyberattacks is privately owned and operated. However, legal questions surrounding authority, liability and operational responsibilities remain unresolved in many jurisdictions.

The coalition reflects growing recognition that existing frameworks may not be fully suited to large-scale cyber defence efforts, particularly as geopolitical tensions, critical infrastructure threats and AI-enabled cyber capabilities increase. Its work could help shape future approaches to collective cyber defence and public-private cybersecurity cooperation.

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Australia issues guidance for government use of agentic AI

Australia’s Digital Transformation Agency (DTA) has issued an agentic AI addendum to its AI Technical Standard, providing guidance for government agencies exploring, developing or deploying agentic AI systems. The document provides best-practice guidance for agencies exploring, developing, or using agentic AI and states that existing requirements in the AI technical standard remain applicable.

The addendum says agentic AI systems may autonomously plan tasks, coordinate work, and trigger actions in real-world contexts. The addendum notes that agentic AI could improve the responsiveness, efficiency and consistency of public services, particularly in high-volume administrative environments, while also introducing new risks related to oversight, control and system behaviour.

The guidance defines agentic AI as systems capable of perceiving and interpreting their environment, maintaining an internal state, reasoning about objectives and autonomously executing actions within defined permissions and constraints. Agencies are advised to implement human oversight, operational safeguards, continuous evaluation processes and mechanisms that allow systems to be rolled back when necessary.

The addendum sets out guidance across the AI lifecycle, including governance and safeguards, memory management, workflow design, secure data exchange, technology selection, evaluation, tool integration, monitoring, and decommissioning. It also calls for clear human accountability, human-in-the-loop or human-on-the-loop oversight, auditable decision records, and orchestration layers.

The guidance recommends ongoing monitoring of agent behaviour, tool usage, memory functions, operational costs, latency, authorisations and changes in the operating environment. The addendum also recommends centralised oversight mechanisms, referred to as ‘control towers’, and calls for the secure decommissioning of agentic AI resources, including agents, associated data, memory stores, tools and system logs.

Why does it matter?

Agentic AI represents a shift from AI systems that generate outputs in response to prompts to systems capable of planning, coordinating tasks and taking actions with limited human intervention. While these capabilities could improve efficiency and service delivery, they also create new governance, accountability and security challenges.

Australia’s guidance reflects growing international efforts to establish safeguards for increasingly autonomous AI systems. The emphasis on human oversight, auditability and lifecycle governance highlights concerns that public-sector AI deployments must remain transparent, controllable and accountable as the technology evolves.

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New Zealand’s NCSC warns frontier AI could amplify cybersecurity risks

New Zealand’s National Cyber Security Centre (NCSC) has issued guidance to help government agencies prepare for the cybersecurity implications of frontier AI systems. The advisory notes that frontier AI models may enable more advanced automation, reasoning and decision-making capabilities than previous generations of AI systems.

The guidance describes frontier AI as a dual-use technology, noting that the same capabilities that enhance cyber defence could also enable malicious actors to conduct cyber operations more quickly, at lower cost and on a larger scale. The NCSC warns that frontier AI could amplify risks associated with known vulnerabilities, legacy systems and poor cyber hygiene, creating what it describes as a ‘vulnerability storm’ for organisations.

According to the NCSC, organisations do not need access to the most advanced frontier AI models to strengthen their cyber resilience. Instead, it says effective readiness depends on existing cybersecurity mitigations and practices, including the New Zealand Information Security Manual, the NCSC Cyber Security Framework, Minimum Cyber Security Standards, and Protective Security Requirements.

The advisory urges government entities to treat several actions as immediate priorities, including reviewing compliance with existing standards, confirming executive accountability for frontier AI cyber risk, reviewing NCSC guidance, and identifying material gaps that AI-enabled threat actors could exploit.

The guidance also restates the NCSC Cyber Security Framework’s five functions: guide and govern, identify and understand, prevent and protect, detect and contain, and respond and recover. The advisory highlights a range of baseline cybersecurity measures, including risk management, security awareness, secure configuration, patch management, multi-factor authentication, least-privilege access controls, anomaly detection, data recovery and incident response planning.

Why does it matter?

Frontier AI is expected to increase the speed, scale and sophistication of cyber operations, potentially allowing attackers to identify vulnerabilities, automate exploitation and conduct campaigns more efficiently than before.

Rather than relying solely on new AI-specific defences, New Zealand’s guidance emphasises that strong cybersecurity fundamentals, including patching, access controls, monitoring and incident response, remain the most effective way to reduce risk. The advisory reflects a growing international view that AI is amplifying existing cyber challenges rather than replacing them with entirely new ones.

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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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