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China promotes inclusive AI governance at Shanghai conference

China has pushed back against claims that its open-source AI strategy and cooperation with developing countries are intended to expand its geopolitical influence.

Foreign Ministry spokesperson Lin Jian said on 16 July that AI development affects all humanity and should be guided by openness, inclusion and stronger international governance.

He called for efforts to narrow digital and technological divides, strengthen AI safety and give developing countries greater access to the benefits of the technology.

Lin also criticised technological restrictions and attempts to divide AI development along ideological lines, saying China supports sharing experience and expanding global AI innovation.

The comments came ahead of the World AI Conference and High-Level Meeting on Global AI Governance, which opened in Shanghai on 17 July and runs until 20 July.

At the opening ceremony, President Xi Jinping called for a global AI governance system centred on openness, inclusion, safety and shared development.

The conference brings together government representatives, international organisations, researchers and technology companies to discuss AI development and governance.

China is using the event to present international cooperation, open-source development and capacity-building for developing countries as central elements of its approach to global AI governance.

Why does it matter?

China’s position reflects growing competition over who shapes global AI standards, infrastructure and access. Its emphasis on open-source models and capacity-building may appeal to developing countries seeking affordable technology, while also strengthening Beijing’s influence in global AI governance. The debate, therefore, concerns both narrowing the AI divide and the strategic dependencies that may emerge around models, infrastructure and technical standards.

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UN chief warns against concentrated AI power

UN Secretary-General António Guterres has called for AI to be governed through broad international cooperation rather than shaped by a small group of governments and technology companies. Speaking at the opening of the World Artificial Intelligence Conference in Shanghai, he described AI as “humanity’s greatest opportunity in the 21st century”, while warning that it could also become “one of its greatest risks”.

“Technology that will shape the future of humanity must be shaped by all of humanity”, Guterres said. He stressed that AI governance cannot be governed by a handful of countries or companies” and that “every nation needs a seat at the table”. Recent UN efforts include the Global Digital Compact, the Independent International Scientific Panel on AI and the first Global Dialogue on AI Governance, held in Geneva earlier in July.

AI could support medical research, education, food systems, employment and progress towards the sustainable development goals, but unequal access remains a major concern. “One-third of humanity is still offline,” Guterres noted, warning that concentrated computing capacity, expertise and investment could produce “greater inequalities, greater divides in income, in opportunity, in security”. More than 20 countries have nominated centres for a UN-supported capacity-building network, while recommendations for a Global Fund for AI are also expected.

The UN chief identified capacity development, common safety standards and environmental sustainability as central priorities. “Human rights must be protected”, the UN chief said. “Humans must keep control over every life-and-death decision.” He also stressed that “no AI system should be put in a child’s hands before it has been proven safe”.

Guterres called on major AI companies to disclose their environmental impact and use renewable energy by 2030. “The defining question is whether that transformation will reduce inequalities or reinforce them,” he said. “Whether it will concentrate power or expand opportunity.”

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EU adopts AI governance principles for health technology assessments

The EU’s Health Technology Assessment Coordination Group has adopted principles governing the use of AI in health technology assessments, requiring transparency, human oversight and accountability when AI assists in preparing evidence dossiers.

The guidance apply to dossiers submitted by health technology developers for Joint Clinical Assessments under the EU Health Technology Assessment Regulation. AI may be used to identify studies, extract data, assess the risk of bias, analyse evidence and prepare reports.

The group recognises that AI could improve the efficiency of evidence preparation but warns that inadequate oversight may compromise completeness, methodological quality and scientific rigour.

Health technology developers will remain fully responsible for the content, methods and conclusions of submitted dossiers, including decisions on whether AI is used, how it contributes to evidence synthesis and whether its outputs are scientifically valid.

Human oversight must be maintained throughout every AI-assisted stage, and no part of the assessment process should be fully automated without a clearly accountable individual.

Any AI-assisted step must be disclosed in the dossier, including information retrieval, study screening, data extraction, risk-of-bias assessment, evidence analysis and report preparation. Developers must also identify the AI tools used, including their name, version, developer and intended purpose.

Where commercial tools have been adapted, those modifications should be described, while prompts must be retained and made available during assessments on request.

The principles also require AI use to comply with applicable copyright, data protection and EU AI Act requirements, particularly given that submitted dossiers may later be published.

Why does it matter?

AI could accelerate the preparation and review of clinical evidence, but undisclosed automation or inaccurate outputs could influence decisions on which medicines and health technologies reach patients. By requiring human accountability, methodological transparency and disclosure of AI tools and prompts, the EU is seeking to preserve the scientific integrity of health technology assessments.

The principles also represent an early example of sector-specific AI governance under the EU’s broader regulatory framework. Rather than restricting AI use, they establish conditions for trustworthy deployment, illustrating how transparency and human oversight are becoming central requirements for AI-assisted decision-making in highly regulated fields.

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Report urges Hong Kong to strengthen AI adoption strategy

Hong Kong should draw on the experiences of Singapore and the United Kingdom to accelerate AI adoption, according to research published by the Legislative Council Secretariat.

Although Hong Kong has identified AI as a priority industry, it has yet to adopt a standalone economy-wide AI strategy. A 2025 survey found that only around 2% of local organisations were fully prepared for AI, compared with a global average of 13%.

Hong Kong ranked 20th in the International Monetary Fund’s AI Preparedness Index, behind Singapore, Japan, South Korea and the UK. While it scored highly for digital infrastructure and innovation, it ranked considerably lower in human capital, labour policy, regulation and ethics.

The report identifies fragmented governance, limited in-house expertise and insufficient computing capacity as major barriers. Around 44% of Hong Kong businesses reportedly struggled to secure adequate processing power, while many, particularly smaller firms, lacked support for redesigning workflows and integrating legacy data systems.

Singapore has addressed these barriers through coordinated funding, diagnostics and technical assistance. Grants subsidise approved AI tools, while government programmes connect businesses with consultants, engineers and major cloud providers. By October 2025, its Enterprise Compute Initiative had linked around 1,000 companies with cloud partners.

However, the report notes that Singapore also faces challenges in moving from experimentation to widespread organisational transformation. AI adoption reached 62.5% among larger companies and 14.5% among SMEs in 2024, yet only 4% of firms had integrated AI into their core business processes by 2026.

The UK has concentrated support on SMEs and traditionally less digitised sectors through programmes such as BridgeAI and Made Smarter, which combine funding with mentoring, diagnostics, training and technical collaboration. Business use of AI increased from 9.4% in September 2023 to 25.9% in March 2026, with particularly strong growth in construction, transport and manufacturing.

Both Singapore and the UK have also expanded computing infrastructure. Singapore combines cloud credits with technical support, while the UK is investing in public supercomputers and regional AI Growth Zones, which had attracted £28.2 billion in planned investment by January 2026.

The report concludes that accelerating AI adoption will require more than financial incentives. A coordinated approach combining affordable computing, technical support, workforce development and assistance with business transformation could help organisations move from isolated AI pilots to widespread operational use.

Why does it matter?

The report highlights that digital infrastructure alone is not enough to drive AI adoption. Countries that combine funding with technical assistance, workforce development, computing capacity and coordinated governance appear better positioned to translate AI investment into measurable productivity gains.

For Hong Kong, the findings suggest that competitiveness will depend less on access to AI technologies than on the ability of businesses, particularly SMEs, to integrate them into everyday operations. The report therefore reinforces a broader international trend towards AI adoption policies that emphasise implementation alongside innovation.

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ONS reports growing concern about AI in Great Britain

Public concern about AI is growing across Great Britain, with more adults believing its risks outweigh its benefits, according to new data from the Office for National Statistics (ONS).

The survey found that 38% of adults believed AI’s risks outweighed its benefits, up from 25% in August 2024. Only 13% said the benefits outweighed the risks, while 43% considered them broadly balanced.

Despite growing concerns, 36% of respondents said AI would benefit them personally, although 27% disagreed, the highest share recorded since the ONS began asking the question in November 2023. Younger adults remained considerably more optimistic than older respondents.

Misinformation, privacy and security emerged as the public’s main concerns. Around 81% of respondents believed AI would make fake information harder to identify, 77% worried personal data could be used without consent and 63% expected greater exposure to cybercrime.

Nearly half of adults under 50 also believed AI could threaten their jobs, while trust remained very low for high-impact uses such as government decision-making (4%) and caregiving (5%).

Public concern contrasted with more limited expectations of personal benefit. While respondents identified education, workplace assistance and household support as AI’s main advantages, 41% said the technology would have no positive impact on their own lives.

Why does it matter?

The findings suggest that public acceptance of AI is becoming a key governance challenge alongside technological development. Growing concerns about misinformation, privacy, cybersecurity and employment could make citizens less willing to embrace AI unless governments and companies demonstrate that effective safeguards are in place.

The survey also highlights a widening gap between rapid AI deployment and public confidence. As AI becomes more deeply integrated into public services and everyday life, trust, transparency and accountability may prove just as important as technical capability in determining how quickly the technology is adopted.

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Germany expands Social Platform into national digital welfare portal

Germany has decided to expand its existing Social Platform into the country’s central digital portal for social services, creating a single entry point for accessing welfare benefits online. The decision was taken by the expert panel on the digitalisation of welfare state reform and builds on infrastructure already developed between 2021 and 2023.

The platform will gradually evolve into a nationwide one-stop shop supporting fully digital benefit applications, processing and notifications. It already provides benefit searches, online applications and advisory services, while integrating with Germany’s National Once-Only Technical System (NOOTS) to retrieve data from public registers.

Secure identification is currently provided through BundID, with support for the future European Digital Identity Wallet (EUDI Wallet) planned.

The initiative also lays the foundation for common data governance across Germany’s social administration. Future work will define shared data standards, interfaces and governance mechanisms while integrating the platform with the planned Deutschland-App. The expert panel overseeing the reform will continue its work until the end of 2027.

The government said the reform is intended to simplify access to social benefits, improve administrative efficiency and modernise employment and social administration through interoperable digital public services.

Why does it matter?

The initiative represents one of Germany’s most significant digital government reforms, replacing fragmented access to welfare services with a common digital platform. By combining shared infrastructure, interoperable data systems and digital identity, the project aims to simplify how citizens interact with public administration while improving efficiency across government.

The integration of NOOTS, BundID and the future EUDI Wallet also aligns Germany’s welfare modernisation with wider European efforts to build interoperable digital public services. The project illustrates how digital identity, data governance and common technical standards are becoming central components of public-sector transformation.

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Greece adopts national framework to implement EU AI Act

The Greek Parliament has approved the national implementing framework for the EU AI Act, making Greece one of the first member states to establish a comprehensive national system for enforcing the regulation.

The new law in Greece establishes the institutional framework for supervising AI systems, coordinating enforcement, supporting innovation and ensuring compliance with the EU AI Act.

The legislation designates the Hellenic Data Protection Authority (HDPA) as the central market surveillance authority and the Hellenic Telecommunications and Post Commission (EETT) as the notifying authority, while establishing a dedicated AI Coordination and Expertise Centre.

It also introduces complaint procedures, administrative sanctions, a national registry of AI systems used by public authorities, regulatory sandboxes for AI testing and criminal penalties for removing transparency labels from deepfake content.

Alongside the implementing framework, the government presented its broader national AI strategy, highlighting investments in infrastructure, data governance and research. These include the Daedalus supercomputer, the Pharos AI Factory, new high-performance computing infrastructure in Kozani, the data.gov.gr platform and partnerships with companies such as Mistral and ElevenLabs, which the government said will strengthen Greece’s AI capabilities and technological sovereignty.

The government said these initiatives form part of a coordinated strategy to strengthen Greece’s AI capabilities and technological sovereignty.

The minister also highlighted current and planned AI applications across the public sector, including tools to accelerate legal reviews at the Hellenic Cadastre and improve public access to parliamentary work through AI services for the Hellenic Parliament.

Additional provisions include the creation of a digital registry for accessibility infrastructure, which will integrate with the MyStreet application to improve mobility for people with disabilities.

Why does it matter?

The legislation gives Greece the institutional architecture needed to implement the EU AI Act while combining regulatory oversight with investment in AI infrastructure and innovation. By establishing supervisory authorities, regulatory sandboxes and governance mechanisms alongside major computing and data initiatives, Greece is seeking to align AI regulation with industrial and digital development.

The framework also illustrates how implementation of the AI Act is becoming a national governance exercise rather than simply a compliance task. As member states designate authorities and build supporting institutions, national implementation strategies are likely to shape how consistently the Act is applied across the EU.

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UAE highlights AI-driven labour market strategy at BRICS meeting

The United Arab Emirates presented its AI-driven labour-market policies at the 2026 BRICS Labour and Employment Ministers’ Meeting in India.

The country highlighted public-private cooperation, adaptable legislation and investment in AI as part of its approach to workforce development.

UAE Minister of Human Resources and Emiratisation Abdulrahman Al Awar said AI is being used to forecast labour-market needs, identify future skills and support data-based decision-making.

He also said digital platforms are helping strengthen worker protection through wage monitoring, occupational safety systems and labour dispute-resolution tools.

The UAE pointed to growth in its labour market, saying private-sector employment had more than doubled over the past five years, registered companies had increased by 46%, and women’s participation had risen by 109%.

The government said its AI-supported skills initiatives are intended to align education and training with future labour-market needs.

BRICS members concluded the meeting by adopting a joint declaration focused on social protection, skills development, workforce participation and digital transformation.

The UAE said it remains committed to international cooperation on building more resilient and inclusive labour markets.

Why does it matter?

The UAE’s presentation shows how governments are increasingly using AI and digital platforms for labour-market planning, skills forecasting and worker-protection systems. The approach reflects a wider shift in employment policy, where competitiveness depends not only on automation and productivity, but also on whether countries can prepare workers for new skills demand, protect labour rights and adapt regulation as work changes.

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WHO convenes global summit on AI governance in healthcare

The World Health Organization has brought ministers and senior officials from 37 countries to Lisbon to develop a shared approach to AI health governance, patient safety and equitable access to emerging technologies.

The global conference, co-hosted by WHO/Europe and the Portuguese government, brings together representatives from all six WHO regions, alongside leaders from the European Commission, the World Bank, the Wellcome Trust, the Aga Khan University and the Gates Foundation.

WHO said its assessment of AI readiness across the European Region revealed a substantial gap between AI adoption and governance. Nearly two-thirds of countries already use AI in diagnostics, but only 8% have a health-specific AI strategy and only 8% have standards defining liability when AI systems fail.

The Lisbon meeting is organised around three pillars: regulation and accountability, tools and infrastructure for safe deployment, and the people and institutions responsible for implementing AI in practice. Rather than promoting a single model, WHO is exploring how countries at different levels of digital development can adapt common governance principles to their own health systems.

Discussions cover legal accountability, ethics, data governance, interoperability, workforce preparation and responsible investment. Participants also stressed that effective AI governance will be essential to ensure AI narrows rather than widens inequalities between well-resourced and under-resourced health systems.

The conference also includes a meeting involving Angola, Brazil, Cabo Verde, Portugal, São Tomé and Príncipe, and Timor-Leste. The session is intended to lay the foundations for cooperation on AI and health among Portuguese-speaking countries.

WHO Regional Director for Europe, Hans Kluge, said governments need a shared approach to governance, workforce training and equitable access. He warned that people are increasingly consulting generative AI chatbots about medical symptoms before speaking with healthcare professionals, highlighting the urgency of effective governance.

The conference opened with technical discussions on 13 and 14 July involving researchers, clinicians and international organisations. Ministerial sessions on 15 and 16 July are expected to translate those discussions into a practical agenda for international cooperation.

Why does it matter?

The conference reflects a growing recognition that healthcare is becoming one of the most important sectors for AI governance. As hospitals and health systems adopt AI more rapidly, governments are increasingly seeking common approaches to accountability, patient safety and regulatory oversight.

WHO’s findings also expose a widening governance gap: many countries are already deploying AI in clinical settings without dedicated strategies or clear liability frameworks. International cooperation could help countries develop compatible governance approaches while reducing inequalities in access to safe and trustworthy AI-enabled healthcare.

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India approves €13 billion Semicon 2.0 strategy

The Government of India has approved Semicon 2.0, a long-term strategy worth Rs. 1.275 trillion (approximately €13 billion) to accelerate the development of the country’s semiconductor design and manufacturing ecosystem.

Building on Semicon 1.0, the programme aims to strengthen India’s position across the semiconductor value chain through sustained public investment, industrial incentives and workforce development.

The strategy is organised around six pillars, such as semiconductor design, manufacturing equipment and materials, fabrication facilities, advanced packaging technologies, research and development, and talent development.

India plans to expand chip design capabilities, attract additional fabrication plants, encourage investment in ATMP and OSAT facilities, strengthen domestic production of critical materials and manufacturing equipment, and support the development of advanced semiconductor technologies.

The government also highlighted progress under Semicon 1.0. Twelve semiconductor manufacturing facilities have been approved with cumulative investments exceeding Rs. 1.64 trillion, covering silicon fabrication, silicon carbide, gallium nitride display manufacturing and advanced packaging. Three facilities have already entered commercial production, while additional projects are expected to become operational during 2026.

On the design side, 24 semiconductor startups have received financial support and 105 have gained access to advanced chip design tools to develop technologies for AI, IoT, telecommunications, satellite communications and smart devices.

According to the government, Semicon 2.0 is intended to strengthen India’s technological sovereignty, improve semiconductor supply chain resilience and establish the country as a globally competitive hub for semiconductor innovation, manufacturing and intellectual property.

Why does it matter?

Semicon 2.0 reflects the growing use of industrial policy to strengthen domestic semiconductor ecosystems amid global competition for advanced chip manufacturing. By investing across design, production, research and skills, India is seeking to reduce external dependencies while building long-term technological capacity.

The strategy also demonstrates that semiconductor competitiveness increasingly depends on developing the entire value chain rather than attracting fabrication plants alone. If successfully implemented, the programme could strengthen India’s position in global semiconductor supply chains while supporting wider ambitions in AI, telecommunications and advanced manufacturing.

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