Artificial intelligence Archives | Page 16 of 678

Dutch study explores how to scale AI across government organisations

Dutch research organisation TNO has conducted an exploratory study examining how AI applications can be scaled across government organisations in the Netherlands. The study was commissioned by the Ministry of the Interior and Kingdom Relations because AI offers opportunities for public sector services and operations.

The study supports the Netherlands’ Digitalisation Strategy, which calls for a more proactive government role in the development and adoption of AI. One option under consideration is an AI scaling facility that would support the reuse and further development of successful AI applications, helping deploy them more quickly and across a wider range of organisations.

According to the study, scaling AI is not a linear or one-size-fits-all process. Depending on their goals, context, and partnerships, organisations may follow different approaches, including scaling within one organisation, replicating solutions across similar organisations, adapting them to new sectors or tailoring broad solutions to local needs.

TNO identifies seven approaches to AI scaling: scaling in, scaling out, scaling beyond, scaling together, scaling down, scaling up and scaling deep. The strategies cover internal adoption, cross-organisational reuse, sectoral adaptation, collaborative development, localisation, policy and standards work, and cultural or behavioural change inside organisations.

A related ‘Conversation starter’ has also been developed to help organisations assess AI scaling initiatives at the outset. The recommendations include treating scaling as a strategic decision, selecting an approach aligned with intended outcomes, addressing governance and organisational culture, reusing existing solutions where possible, investing in AI literacy and documentation, clarifying ownership and funding arrangements, and regularly assessing whether scaling remains desirable, feasible and legally appropriate.

Why does it matter?

Many governments are moving beyond AI experimentation and focusing on how successful projects can be deployed at scale. However, expanding AI use across public institutions often involves organisational, governance and cultural challenges that extend beyond technology itself.

The Dutch study highlights the need for structured approaches to AI adoption, emphasising reuse, collaboration and institutional capacity. Its findings could help governments accelerate AI deployment while maintaining accountability, effectiveness and compliance with legal requirements.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

UK regulator launches AI-assisted review of gambling advertising

The UK Gambling Commission has announced a new compliance initiative targeting gambling advertising, following an enforcement notice issued by the Committee of Advertising Practice (CAP). The measure aims to prevent gambling advertisements from having a strong appeal to people under 18.

From 11 June, CAP will conduct a monitoring exercise using its AI-powered Active Ad Monitoring System in collaboration with social media platforms. The review will assess whether gambling advertisements comply with rules intended to protect children and other vulnerable audiences.

Under the enforcement notice, businesses found to be in breach of the rules may be required to amend or remove advertisements without delay. Failure to comply could lead to sanctions, including referrals to hosting platforms or the Gambling Commission.

The Gambling Commission said operators must ensure that all advertising, including content published on social media, remains socially responsible and complies with CAP and Broadcast Committee of Advertising Practice (BCAP) requirements.

Why does it matter?

Regulators are increasingly using AI tools to monitor online advertising at scale, particularly in areas where consumer protection concerns are significant. Gambling advertising remains a sensitive issue because of its potential impact on children and other vulnerable groups.

The initiative signals a more proactive approach to enforcement, combining automated monitoring with platform cooperation to identify problematic content more quickly and strengthen compliance with advertising standards.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Cambridge researchers test AI-designed vaccine in human trial

Researchers at the University of Cambridge have developed an experimental vaccine using AI, marking what they describe as the first human test of a vaccine component designed entirely by AI. The experimental approach aims to provide broad protection against entire families of viruses, including coronaviruses with pandemic potential.

The AI system analysed genetic data from multiple coronaviruses and designed a ‘super-antigen’ intended to help the immune system recognise and respond to a broad range of viral variants, including those that may emerge through future mutations. An initial trial involving 39 volunteers focused primarily on safety, while a larger follow-up study is planned to evaluate immune responses and effectiveness in greater detail.

Researchers say the approach could help vaccine development keep pace with rapidly evolving threats, including influenza, emerging COVID-19 variants and viruses with the potential to spread from animals to humans. The team is also exploring similar AI-designed vaccines for influenza, bird flu, and Ebola-like viral haemorrhagic fevers, where current protection options remain limited.

Researchers describe the findings as an early but significant step towards using AI to accelerate vaccine design and strengthen preparedness for future disease outbreaks. The study highlights growing expectations that AI may become a central tool in global pandemic prevention strategies.

Why does it matter?

Traditional vaccine development often focuses on responding to specific pathogens after they emerge. By contrast, AI-assisted design could help researchers develop vaccines that provide protection against entire families of viruses before outbreaks occur.

If successful, the approach could shorten development timelines, improve preparedness for future pandemics and support efforts to address rapidly evolving infectious diseases. The research also highlights the growing role of AI in scientific discovery and biomedical innovation.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our chatbot!

UN warns of AI’s growing environmental footprint

As AI continues to reshape economies, industries and daily life, a new report from the United Nations University (UNU) highlights the environmental challenges associated with its rapid adoption. While discussions often focus on greenhouse gas emissions linked to AI systems, researchers argue that the technology’s impact on water resources, land use and electronic waste deserves equal attention.

According to the report, data centres supporting AI applications could consume up to 945 terawatt-hours of electricity annually by 2030. Beyond electricity demand, AI-related water consumption could reach levels equivalent to the annual household needs of 1.3 billion people, while the land footprint associated with AI infrastructure may exceed 14,500 square kilometres.

Researchers note that environmental pressures vary significantly depending on the technologies and energy sources used to power AI systems.

The UN report also finds that routine AI use, rather than model training alone, accounts for a significant share of resource consumption. Everyday activities such as generating images, videos and text require substantial computing power, with image generation demanding significantly more energy than basic text-based tasks. Growing adoption may further increase total resource consumption despite improvements in efficiency.

Researchers note that the environmental costs of AI infrastructure are often concentrated in specific regions, while the benefits of AI are distributed more broadly across the global economy. Expanding data centres, rising electricity demand, increasing water consumption and growing volumes of electronic waste could place additional pressure on communities and countries already facing resource constraints.

The report calls for responsible AI development supported by greater transparency, sustainable infrastructure planning, international cooperation and governance measures aimed at keeping technological progress within environmental limits.

Why does it matter?

Debates about AI sustainability often focus on carbon emissions, but the report argues that water consumption, land use and electronic waste are becoming equally important considerations as AI infrastructure expands. These impacts could become increasingly significant as governments and companies invest in larger data centres and more powerful AI systems.

The findings also highlight the need for environmental considerations to be integrated into AI governance and infrastructure planning. As AI adoption accelerates worldwide, policymakers face growing pressure to balance technological innovation with sustainability and resource management goals.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Canada launches AI for All national strategy to accelerate adoption and digital sovereignty

Canada has launched AI for All, a new national AI strategy aimed at accelerating AI adoption, strengthening digital sovereignty, and positioning the country as a leading AI economy.

Announced by Prime Minister Mark Carney, the strategy combines proposed legislation, investments, and programmes intended to ensure AI is adopted responsibly and benefits businesses, workers, students, and communities across Canada.

The strategy targets an additional C$200 billion in economic growth, 250,000 new AI-related jobs over the next five years, and an increase in AI adoption from just over 12% today to 60% by 2034. The government also plans to provide up to 90,000 AI-related jobs and work placement opportunities for young Canadians.

The strategy is built around three principles: building trust, creating opportunities, and reinforcing Canadian sovereignty. To build trust, the government plans to modernise digital legislation, strengthen protections for personal information, address harms such as deepfakes and surveillance pricing, introduce an online safety regime, and expand the capabilities of the Canadian AI Safety Institute.

To create opportunities, the government will establish a National AI Literacy Initiative, provide access to trusted AI agents for post-secondary students, help small and medium-sized businesses adopt AI, support worker training, and launch an AI Missions Program with a flagship health mission focused on diagnostics, patient care, and system efficiency.

To reinforce sovereignty, Canada plans to build domestic AI foundations, including compute, cloud, connectivity, data, and talent. Measures include a world-leading public AI supercomputer, investments in sovereign compute and cloud infrastructure, better access to growth capital for Canadian AI companies, strategic public procurement, and expanded support for AI talent.

The government said the strategy is intended to ensure more AI value is created in Canada while strengthening privacy, data protection, public services, productivity, and economic security.

Why does it matter?

Canada’s AI for All strategy links AI adoption directly to economic growth, workforce development, public trust, and technological sovereignty. The strategy reflects a wider shift among governments: AI policy is no longer focused only on research excellence, but also on compute infrastructure, cloud sovereignty, data governance, safety institutions, business adoption, public procurement, and skills. Its success will depend on whether Canada can turn ambitious targets into measurable adoption across businesses, public services, and workers.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

OECD launches AI Policy Toolkit for governments

The Organisation for Economic Co-operation and Development (OECD) has launched the AI Policy Toolkit, a practical guide intended to help governments translate AI principles into policy action. Released by the OECD under the Global Partnership on Artificial Intelligence, the first version is designed as a non-prescriptive resource for policymakers working across the AI policy cycle.

Building on the OECD AI Principles, the toolkit is intended to help governments identify policy priorities, compare international approaches and adapt guidance to national circumstances. The platform incorporates AI-powered semantic search to help users identify relevant policy examples and practical approaches drawn from real-world experience.

The OECD developed the AI Policy Toolkit through co-creation with end-users across regions, including targeted interviews and workshops in Southeast Asia, Latin America, and Africa. Policymakers, industry representatives and experts helped shape the platform around implementation challenges, including balancing innovation and regulation, addressing infrastructure gaps and supporting AI adoption in sectors such as agriculture, education and healthcare.

According to the OECD, the development process highlighted two key lessons: AI policy is heavily influenced by national context, institutional capacity and levels of digital maturity, while challenges such as advanced AI risks and linguistic and cultural representation often require international cooperation. Contributors included governments and organisations from Costa Rica, Italy, France, South Korea, Japan, the United Kingdom, the European Union, the French Development Agency, and the Inter-American Development Bank.

The OECD says the toolkit will continue to evolve through feedback, additional policy examples, and expanded coverage of emerging issues, including sector-specific guidance, infrastructure, and regulatory approaches. The OECD said the toolkit’s broader objective is to help governments move from high-level AI principles to practical implementation while managing risks and promoting trustworthy AI.

Why does it matter?

Many governments have adopted AI principles and strategies, but translating these commitments into practical policies remains a challenge. The OECD’s toolkit seeks to bridge that gap by providing policymakers with implementation guidance, real-world examples and policy options tailored to different national contexts.

The initiative also reflects growing recognition that effective AI governance requires both domestic policymaking capacity and international cooperation, particularly as countries confront shared challenges related to advanced AI systems, infrastructure needs and regulatory approaches.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Brazil’s telecom regulator adopts AI governance framework

Brazil’s telecommunications regulator, Anatel, has approved a new AI governance policy aimed at ensuring the ethical, secure, and transparent use of AI across its regulatory and administrative activities. The framework positions the agency among public institutions in Brazil, proactively addressing the challenges and opportunities of AI-driven transformation.

Developed by the agency’s IA.lab research group, the policy establishes principles including human oversight, transparency, data security and the protection of fundamental rights. It also creates a permanent forum to monitor AI use, assess risks, and support decision-making, ensuring AI complements rather than replaces human judgment in regulation.

A key objective of the policy is to strengthen technological sovereignty by encouraging the development and adoption of AI solutions built in Brazil and, where appropriate, trained on local data and optimised for Portuguese-language use cases.

The policy also lays the groundwork for a broader national AI strategy within the agency, designed to expand responsible innovation across telecommunications regulation and public service delivery.

Anatel said the governance model is intended to balance innovation and accountability, enabling the use of AI to improve efficiency while maintaining security, trust and regulatory integrity.

Why does it matter?

The policy places Anatel among a growing number of public-sector regulators establishing formal governance frameworks for AI. As regulatory agencies increasingly adopt AI tools, questions around transparency, accountability, human oversight and risk management are becoming central to public trust.

The framework also reflects broader efforts by governments to promote technological sovereignty by supporting domestic AI capabilities while ensuring that innovation aligns with legal, ethical and public-interest objectives.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our chatbot!

UK Ofcom sets out AI safety and innovation strategy

Ofcom has outlined its approach to enabling safe and secure AI adoption across the UK communications sectors it regulates and within its own work.

The regulator said its approach is technology-neutral and outcomes-based, aligning AI oversight with its wider mission of making communications work for everyone while supporting innovation and growth.

Ofcom’s report uses case studies to show how AI is already shaping regulatory work and the sectors it oversees. Planned and recent initiatives include building a pilot data lake to make spectrum licensing and online safety data more accessible, engaging with innovators to identify regulatory uncertainty, and assessing public trust in AI chatbots.

The regulator is also examining the impact of AI on telecoms customer experience, exploring AI deployment in broadcasting, assessing AI use in cybersecurity for telecommunications networks, and considering how AI could support network management and optimisation.

Alongside innovation support, Ofcom said it is monitoring AI-related risks and emerging harms. Its work includes guidance on technology-led mitigation against deepfakes, research into chatbot-related harms, and action to address risks posed by AI systems to users.

Ofcom said it coordinated with the AI Security Institute and the National Cyber Security Centre to brief stakeholders on the frontier AI cybersecurity implications following Anthropic’s preview of Claude Mythos, which caused concern. It also said it launched a formal investigation into X’s Grok chatbot.

The regulator is also piloting responsible AI use internally, including tools to support policy development, research, consultation processes, tracking of technical standards, and operational efficiency. Ofcom said it will take a safety-first approach and roll out internal AI tools only once it is confident they are safe and secure.

Why does it matter?

Ofcom’s approach shows how AI governance is becoming operational inside sector regulators, not only debated at the government level. The strategy links innovation support with risk monitoring across online safety, telecoms, broadcasting, cybersecurity, spectrum management, and consumer protection. It also shows regulators experimenting with AI in their own workflows while trying to maintain safety, accountability, and public trust.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our chatbot!

EU and India deepen digital cooperation through Tech Business Forum

The European Union and India have concluded the first EU-India Tech Business Forum in New Delhi, advancing digital and trade cooperation under the framework of the EU-India Trade and Technology Council (TTC). The forum brought together businesses, policymakers, researchers, think tanks, and civil society to strengthen private-sector collaboration and identify opportunities for joint innovation.

The forum was organised by the EU Delegation to I n dia and Bhutan and India’s Ministry of Electronics and Information Technology, with support from industry organisations including the Federation of European Business in India and the National Association of Software and Service Companies (NASSCOM).

More than 100 European and Indian technology companies participated in discussions covering semiconductors, AI, cybersecurity, data governance and digital public infrastructure.

Participants explored opportunities to strengthen interoperability, advance cooperation on technical standards and improve market access for companies operating in both markets. The forum also aimed to operationalise wider EU-India cooperation, including the recently concluded Free Trade Agreement and the Administrative Arrangement on Advanced Electronic Signatures and Seals signed under the Trade and Technology Council in January 2026.

Speaking at the forum, EU Ambassador to India Hervé Delphin said:

‘In today’s fragmented world, working with trusted partners like India is essential to diversify supply chains and reduce over-reliance on certain sources and geographies.‘

He said Europe brings strengths in advanced technology, innovation, and regulation, while India offers scale, talent, and technological applications.

The forum’s outcomes are expected to shape the next steps in EU-India digital and trade cooperation. The Trade and Technology Council remains the primary framework for EU-India cooperation on strategic technologies, digital governance and connectivity, covering areas such as digital public infrastructure, semiconductors, data governance and emerging technologies.

Why does it matter?

The EU and India are seeking to deepen cooperation on strategic technologies at a time when governments are prioritising supply chain resilience, digital sovereignty and secure technology partnerships. Closer collaboration in areas such as AI, semiconductors and cybersecurity could help both sides reduce dependencies and strengthen innovation ecosystems.

The forum also demonstrates the growing role of technology diplomacy in trade relations, with policymakers and businesses working together to address standards, interoperability and market access challenges that increasingly shape the global digital economy.

Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!

Mayo Clinic and Microsoft partner to build frontier AI model for healthcare

Mayo Clinic and Microsoft have announced a strategic collaboration to develop and deploy a frontier AI model designed specifically for healthcare.

The initiative combines Mayo Clinic’s clinical expertise, de-identified health data, and longitudinal medical insights with Microsoft’s AI, cloud, engineering, and superintelligence capabilities.

The model is intended to support a broad range of clinical reasoning and healthcare use cases by synthesising diverse clinical information. Mayo Clinic said it could support earlier diagnoses, more personalised treatment decisions, and improved patient outcomes.

Unlike general-purpose AI systems, the model is being developed for healthcare environments that require deep clinical context, longitudinal understanding, rigorous governance, and real-world validation.

Mayo Clinic will own the model, which it said reflects its commitment to patient trust, clinical rigour, safety, and responsible stewardship of clinical data and AI.

The system will initially be deployed within Mayo Clinic’s clinical environment, where physicians and researchers can test, refine, and improve it through real-world use.

Microsoft plans to make the model available through Azure Foundry APIs, enabling healthcare organisations worldwide to access advanced medical AI capabilities designed to support patients, clinicians, and consumers.

Why does it matter?

The partnership shows how major health institutions and technology companies are moving towards domain-specific frontier AI models rather than relying only on general-purpose systems. Healthcare AI requires specialised data governance, clinical validation, longitudinal patient understanding, and robust safeguards, as errors can directly affect diagnosis, treatment, and patient trust. Mayo Clinic’s ownership of the model is also important because it signals an attempt to keep clinical accountability and data stewardship closer to the healthcare institution.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!