Hong Kong launches AI privacy sandbox for schools

Hong Kong’s Office of the Privacy Commissioner for Personal Data and the Digital Policy Office have launched an AI privacy sandbox to support responsible AI adoption in schools.

The Safeguarding Personal Data AI Sandbox will provide a collaborative platform for schools exploring AI solutions while managing the risks to personal data protection.

The first phase will run for six months and select 15 school applicants. It is open to publicly funded primary and secondary schools, with applications accepted until 30 October 2026.

Selected schools will receive guidance from the Privacy Commissioner’s office on compliance with the Personal Data (Privacy) Ordinance.

They will also receive support from the Digital Policy Office on Hong Kong’s Generative Artificial Intelligence Technical and Application Guideline.

Cyberport, Hong Kong, and the Hong Kong Productivity Council will provide technical advice.

A briefing session for interested schools is scheduled for 28 August 2026.

Why does it matter?

Schools are increasingly exploring AI tools, but their use of student data creates specific privacy, safety and governance risks. Hong Kong’s sandbox offers a practical way to test AI adoption in education while giving schools regulatory and technical support. The initiative also shows how governments can move beyond broad AI principles by creating sector-specific support mechanisms for institutions that may lack in-house expertise.

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UNESCO study examines digital platform influence on news in South-East Europe

A new UNESCO-supported study has found that digital platforms are increasingly shaping how news reaches audiences across South-East Europe and Türkiye, creating new opportunities for journalism while increasing publishers’ dependence on platform algorithms.

Published by the South-East European Network for Professionalization of Media (SEENPM), the study examines how social media platforms, search engines and recommendation systems influence news distribution and how governments across the region regulate digital media.

The UNESCO-supported study surveyed 71 media organisations across Albania, Bosnia and Herzegovina, Montenegro, North Macedonia, Serbia and Türkiye. It found that digital platforms have become essential gateways to news for digital-native audiences while helping local and public-interest media reach wider audiences.

At the same time, newsrooms are increasingly adapting headlines, publishing schedules and visual content to satisfy platform algorithms, despite often lacking the technical expertise and financial resources needed to keep pace with constantly changing platform rules.

Researchers also documented numerous cases in which journalistic content was removed, downgraded, demonetised or restricted because automated moderation systems failed to understand local languages, cultural context or the public-interest value of reporting.

Many media organisations also reported limited communication with platform operators and ineffective appeal mechanisms, making it difficult to challenge moderation decisions or changes in algorithmic visibility.

The report recommends stronger transparency and accountability requirements for digital platforms, better appeal mechanisms, greater recognition of verified journalistic content, and increased support for media literacy and self-regulation.

UNESCO said the findings will contribute to the EU-funded project ‘Building Trust in Media in South-East Europe: Support to Journalism as a Public Good’, which seeks to promote rights-based digital platform governance while strengthening independent journalism across the region.

Why does it matter?

The study highlights how platform governance is becoming a defining factor in the future of journalism. While digital platforms enable publishers to reach larger audiences, they also shape news visibility through algorithms and automated moderation systems that can significantly affect traffic, revenue and public access to reliable information.

The findings also reinforce calls for more transparent and accountable platform governance. Better moderation processes, effective appeals and greater recognition of public-interest journalism could help ensure that automated systems support rather than inadvertently undermine media pluralism, local journalism and freedom of expression.

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Germany releases open-source AI platform to accelerate digital public administration

Germany’s Federal Ministry for Digital Affairs and Public Sector Modernization (BMDS) has released the source code of its SPARK API as an open-source project, aiming to accelerate AI adoption across public administration.

The modular platform allows government organisations to integrate AI into existing administrative systems without redesigning their underlying infrastructure, enabling faster and more flexible digital public services.

Built on a modular architecture, the SPARK API enables public authorities in Germany to add AI components to existing administrative processes across different legal and operational contexts. Unlike the broader SPARK Workflow platform, which orchestrates end-to-end administrative procedures, the API focuses on extending existing systems with reusable AI capabilities. The ministry said this approach should simplify integration and encourage wider adoption across government.

To support further development, BMDS organised an open hackathon involving more than 40 participants selected from over 210 applicants from government, industry and academia.

Teams developed AI applications for analysing unstructured documents, linking administrative records with geospatial data and strengthening cybersecurity. Participants also tested large language models against prompt injection attacks and evaluated guardrails designed to protect confidentiality, integrity and system availability.

The ministry described the hackathon as the beginning of a broader collaborative development process. Additional workshops and community initiatives are planned after the summer to improve the platform, expand its AI modules and encourage reuse across Germany’s public sector.

By releasing the SPARK API as open source, BMDS aims to improve transparency, encourage collaboration and accelerate digital transformation across public administration.

Why does it matter?

Germany’s decision reflects a broader shift towards treating AI as shared digital infrastructure for government rather than a collection of isolated projects. Open-source, modular platforms can help public institutions integrate AI more quickly, reduce duplication, improve interoperability and give agencies greater control over how AI systems are deployed and audited.

The initiative also highlights a growing preference among governments for transparent and reusable AI tools instead of relying solely on proprietary platforms. By making the code publicly available, Germany is encouraging collaboration across public institutions, academia and industry while supporting a more open approach to public-sector AI innovation.

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UN-backed panel warns AI is outpacing global governance

A United Nations-backed scientific panel has warned that AI capabilities are advancing faster than governments’ ability to evaluate and govern them, raising concerns that oversight is failing to keep pace with increasingly powerful systems.

The Independent International Scientific Panel on AI, comprising 40 experts, found that AI systems are making rapid progress across key benchmarks. However, it warned that existing evaluation methods are becoming less reliable as models approach near-perfect performance or adapt to testing conditions.

Despite these advances, the report stresses that benefits in areas such as education and scientific research are not guaranteed. Outcomes depend heavily on institutional safeguards, teacher preparedness and whether AI systems are designed to support learning rather than replace critical thinking.

The panel also warns of structural risks, including the concentration of AI development among a small number of companies and countries, uneven language coverage and limited independent evaluation capacity across much of the world. According to the report, these imbalances could shape both access to AI and the ability to manage its risks.

Why does it matter? 

The report highlights a growing mismatch between the pace of AI development and governments’ ability to evaluate, regulate and oversee increasingly capable systems. As AI evolves more quickly than existing governance mechanisms, policymakers risk responding to problems only after technologies have been widely deployed.

It also underscores that AI governance is becoming a question of global capacity as much as regulation. Countries with limited technical expertise, evaluation infrastructure or access to advanced AI systems may struggle to assess risks, enforce safeguards or influence international standards, potentially widening existing technological and economic divides.

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ITU showcases AI tools to strengthen digital trust

The International Telecommunication Union (ITU) has highlighted a new generation of AI researchers developing practical tools to strengthen digital trust, improve content authenticity and combat misinformation.

Ahead of the AI for Good Global Summit in Geneva, the Young Researcher Associate Programme is showcasing projects designed to improve multimedia authenticity, helping people identify manipulated content while supporting creativity and innovation in the age of generative AI.

The initiative operates under the AI and Multimedia Authenticity Standards Collaboration, established in 2024 by the World Standards Cooperation, which brings together the International Electrotechnical Commission (IEC), the International Organization for Standardization (ISO) and the ITU.

The programme brings together early-career researchers from universities around the world to develop solutions addressing content authenticity, provenance and digital rights as AI-generated media becomes increasingly common online.

Three flagship projects illustrate the programme’s multidisciplinary approach. STOP&SCAN promotes critical thinking through a five-step framework that encourages people to assess the source, content and context of digital information before sharing it.

AMITO provides an AI-powered multimedia integrity toolkit through Telegram and WhatsApp, analysing suspicious images and videos while explaining its findings in plain language rather than simply labelling content as authentic or fake.

Meanwhile, the Policy-as-Code project maps AI-related regulations across jurisdictions, helping creators, businesses and policymakers understand how AI-generated content is regulated while laying the foundations for machine-readable compliance mechanisms.

The researchers will present their work at the AI for Good Global Summit on 9 July, demonstrating how technical innovation, behavioural science and regulatory frameworks can work together to build more trustworthy digital ecosystems. According to the ITU, strengthening digital trust requires collaboration across generations, disciplines and countries.

According to ITU, designing digital trust requires collaboration across generations, disciplines and countries to ensure AI strengthens rather than undermines confidence in online information.

Why does it matter?

As generative AI makes it easier to create convincing synthetic media, verifying the authenticity and provenance of digital content is becoming increasingly important for governments, businesses and the public. Technical tools alone are unlikely to solve the problem, making user education, common standards and transparent governance equally important.

The initiative also highlights the growing role of international standards organisations in shaping AI governance. By combining authenticity technologies, regulatory mapping and practical educational tools, the ITU and its partners are helping develop a shared foundation for trusted digital ecosystems that can operate across platforms and national borders.

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China adopts national standards for AI agents

China’s State Administration for Market Regulation has released seven national standards for AI agent interconnection, establishing a common framework for how autonomous AI systems identify themselves, communicate and operate across platforms and industries.

The standards define AI agents as intelligent systems capable of autonomous perception, memory, decision-making, interaction and execution. The administration described them as a key application of next-generation AI and an important mechanism for deploying AI capabilities across industries.

By standardising architecture and interaction rules, the framework aims to help companies reuse common components, reduce customised development and shorten the time needed to bring AI-powered products to market.

The standards also introduce unified identity authentication and end-to-end traceability mechanisms, addressing what the regulator described as a significant gap in existing governance of AI agent systems.

Why does it matter?

AI agents will increasingly need to interact with other systems, services and organisations rather than operate in isolation. Common technical standards can improve interoperability, reduce development costs and make it easier for businesses to deploy AI applications across different sectors and platforms.

The standards also illustrate China’s strategy of shaping emerging AI technologies through nationally coordinated technical frameworks. By establishing common rules for identity, interaction and traceability at an early stage of the technology’s development, China is positioning itself to influence how agentic AI ecosystems evolve domestically and potentially internationally.

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EU examines harmful design features in online platforms

The second annual report on systemic risks under the Digital Services Act has highlighted online risks faced by children and young people on very large online platforms and search engines.

The report was published by the Board for Digital Services and developed in cooperation with the European Commission. It provides an overview of recurrent systemic risks in the EU for very large online platforms and search engines.

Risks identified in the report include the spread of illegal content, cyberbullying, grooming and exposure to harmful material such as dangerous viral challenges and adult content.

The report also points to the role of platform design. Interface features and recommender systems can contribute to addiction-like behaviour, increase exposure to harmful content and intensify harmful interactions between users.

Platforms have introduced mitigation measures, including targeted protection tools, content moderation systems and user empowerment features.

The Commission said the report reinforces the role of the DSA as a transparency and accountability tool for understanding how online platforms function and shape risks in society.

The findings will support regulators, civil society, and platforms as the EU continues to monitor DSA implementation and efforts to create a safer online environment for minors.

Why does it matter?

The report shows that the EU platform regulation is moving beyond illegal-content takedown towards a broader assessment of systemic risks created by platform design. For children and young people, recommender systems, interface choices and engagement-driven features can shape exposure to harmful content and unsafe interactions at scale. The DSA reporting process, therefore, provides regulators and civil society with a clearer evidence base for assessing whether very large platforms are doing enough to protect minors.

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Altman proposes US-led international forum for AI safety standards

OpenAI CEO Sam Altman has called for the creation of a US-led international forum to establish global safety standards for AI, arguing that no single country or company should dominate the governance of increasingly capable AI systems.

Writing in an opinion article published in the Financial Times, Altman proposed an international body bringing together governments, independent technical experts, and other stakeholders to develop accepted AI safety standards, provide impartial assessments of AI capabilities and risks, and make advanced AI technologies available to countries and organisations that participate in and comply with agreed rules.

According to Altman, such a forum could also serve as a governance mechanism for frontier AI developers, helping to reduce commercial pressures that may encourage companies to prioritise rapid deployment over safety. He argued that international cooperation has previously enabled countries to manage other strategically important technologies despite geopolitical competition.

To illustrate his proposal, Altman pointed to existing international governance mechanisms such as the International Atomic Energy Agency (IAEA), which oversees the peaceful use of nuclear technology, as well as global aviation safety frameworks and international financial standards. In his view, these models demonstrate that countries can establish common rules for technologies with significant cross-border implications while maintaining national interests.

Altman also argued that the benefits of AI should be shared more broadly, writing that ‘everyone on Earth should benefit from this technology and determine for themselves how best to use it.’ His proposal follows discussions at the recent Group of Seven (G7) summit in France, where executives from OpenAI, Anthropic, and Google DeepMind met with political leaders to discuss international approaches to governing advanced AI models.

A key challenge for any international oversight mechanism, however, remains enforcement. Unlike nuclear facilities or aircraft, frontier AI models are developed within highly secured data centres, making independent verification considerably more difficult. The limited visibility into model training, testing, and deployment has led many experts to question how compliance with international AI standards could be monitored in practice.

Altman’s proposal is not the first call for stronger international oversight of advanced AI. OpenAI and Anthropic have previously supported the idea of international governance mechanisms for frontier AI systems. Anthropic CEO Dario Amodei has argued for a more prescriptive regulatory approach, drawing comparisons with the US Federal Aviation Administration and advocating stronger regulatory oversight for highly capable AI models.

The proposal also comes as governments continue to expand their involvement in AI governance. Alongside national regulatory initiatives, international discussions have accelerated through forums such as the G7, the Global Partnership on AI (GPAI), and the UN.

Earlier this week, the UN’s Independent International Scientific Panel on Artificial Intelligence published its first preliminary assessment of AI opportunities, risks, and governance challenges ahead of the inaugural Global Dialogue on AI Governance in Geneva, reflecting growing international efforts to establish evidence-based approaches to AI governance.

Whether Altman’s proposal develops into a formal international initiative will ultimately depend on governments rather than AI companies. Commenting on broader discussions around AI governance, analysts at the Brookings Institution argued that cooperation between governments and leading AI developers could help establish common standards, but stressed that any future international framework would need effective implementation and enforcement mechanisms rather than relying solely on voluntary commitments.

As governments, international organisations, and AI developers continue debating how to govern increasingly capable AI systems, Altman’s proposal adds to a growing conversation about whether existing institutions are sufficient or whether new international mechanisms will be needed to manage the opportunities and risks associated with frontier AI.

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Switzerland sets framework for responsible AI use in development co-operation

An OECD case study has highlighted Switzerland’s efforts to govern the responsible use of AI in international cooperate and humanitarian assistance, focusing on a framework adopted by the Swiss Agency for Development and Cooperation in 2025.

The case study says SDC’s AI initiatives had previously been scattered, especially at the country level, while many staff had limited experience with AI. The agency also lacked unified guidance for using AI tools, funding AI-related projects and engaging in policy dialogue.

Approved in 2025, SDC’s Working Aid on AI is grounded in Switzerland’s International Cooperation Strategy 2025–2028. It provides practical guidance for responsible AI adoption across the agency’s portfolio and institutional roles.

The framework draws on earlier risk and opportunity mapping, the Council of Europe’s Framework Convention on AI and the OECD AI principles.

Its guiding principles include doing no harm, human oversight, participation of affected communities, localisation, dataset debiasing, ethical data sourcing, decent work in AI supply chains, reduced climate impact, transparency and internal oversight.

The Working Aid also defines four roles for SDC: funding operational AI projects, influencing global AI policy and partnerships, providing sectoral advice to SDC units and Swiss representations, and embedding AI into knowledge management.

SDC has created an AI Task Force, now becoming an AI Network, to coordinate work on operations, staff skills, data and IT infrastructure, governance and partnerships.

The framework is already being applied to areas including climate forecasting, child health diagnostics, media development, disinformation and internal project-cycle management.

Why does it matter?

Switzerland’s approach shows how development agencies are beginning to institutionalise AI governance rather than treating AI as a series of isolated experiments. A framework for responsible use can help agencies manage risks around bias, dependency, data sourcing, climate impact and human oversight while still using AI for development and humanitarian goals. The case also highlights the importance of internal capacity, staff guidance and whole-of-government coordination as AI becomes part of international cooperate.

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Ericsson report says global 5G subscriptions pass 3 billion

Global 5G subscriptions passed 3 billion in the first quarter of 2026, according to Ericsson’s latest Mobility Report.

The report says 162 million 5G subscriptions were added during the quarter, bringing the global total to 3.1 billion. Ericsson expects 5G subscriptions to more than double to 6.4 billion by the end of 2031.

5G will also carry around half of global mobile data traffic by the end of 2025. Ericsson projects that 5G networks will account for 85% of mobile data traffic by 2031.

The report highlights the continued deployment of 5G Standalone networks and the growth of commercial network slicing services, which allow operators to offer differentiated connectivity for specific use cases.

Ericsson also points to changing traffic patterns. For many service providers, uplink traffic is already growing faster than downlink traffic, driven by collaboration tools, cloud storage and emerging services that require more data to be sent from devices to networks.

The company says AI-powered devices, augmented reality applications and connected technologies are likely to increase demand for real-time data processing and uplink capacity.

Ericsson said existing 5G networks can support early AI and extended reality services, while 6G is expected to enable larger-scale AI-native applications, with the first commercial services expected around 2030.

Why does it matter?

The report shows that 5G is becoming a core layer of digital infrastructure for AI-enabled services, cloud applications and connected devices. As AI moves from centralised data centres into devices, vehicles, workplaces and industrial systems, mobile networks will need to support higher uplink capacity, lower latency and more differentiated connectivity. Growth in 5G Standalone and network slicing also matters because these technologies give operators more tools to support specialised services, from enterprise automation to future AI and XR applications.

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