Hong Kong and China cyberspace authority sign AI and blockchain cooperation deal

The Chief Executive of Hong Kong, John Lee, met the Director of the Cyberspace Administration of China (CAC), Zhuang Rongwen, in Hong Kong to discuss cooperation in innovation and technology.

During the meeting, officials from the Innovation, Technology and Industry Bureau and the CAC signed a Memorandum of Understanding (MOU) on innovation and technology development. The agreement covers areas including AI, cross-border data flow and blockchain.

The MOU aims to support the development of Hong Kong as an international innovation and technology centre. It also focuses on strengthening cybersecurity cooperation and promoting the digital economy through technological development.

Officials said the agreement aligns with China’s national development plans and supports Hong Kong’s integration into broader economic strategies. It also highlights plans to enhance international exchanges and technology-driven economic growth.

The Chief Executive said Hong Kong will continue to expand its role as a technology and investment hub under the ‘one country, two systems’ framework. The CAC said the partnership will support long-term innovation and development goals.

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Canada launches hybrid AI weather model

Environment and Climate Change Canada has announced the launch of a hybrid AI weather forecasting model aimed at improving predictions of severe weather. The system combines AI with traditional physics-based forecasting methods.

According to Environment and Climate Change Canada, the model uses AI to analyse large datasets while relying on established models to account for local weather factors such as temperature, wind and precipitation. This combination is expected to improve forecast accuracy.

The department states the system will enhance performance across all forecast timeframes and provide earlier warnings of major weather events. In some cases, forecasts could identify large systems more than 24 hours earlier than current capabilities.

Environment and Climate Change Canada said the model has been extensively tested alongside existing systems and will support better preparedness and public safety as extreme weather events increase in Canada.

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US expands AI focus in schools

The US Department of Education has introduced a new supplemental priority focused on advancing AI in education, published in the Federal Register. The measure is intended for use in discretionary grant programmes.

According to the US Department of Education, the priority and related definitions may be applied across current and future funding competitions. The Secretary can adopt all or part of the priority depending on programme needs.

The initiative builds on earlier supplemental priorities covering areas such as literacy, educational choice, meaningful learning and workforce readiness. It forms part of a broader framework guiding federal education funding in the US.

Why does it matter?

The new priority will take effect in May 2026, expanding the role of AI in US education policy and grant allocation. This is a global shift in which AI is playing a more prominent role in education.

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Microsoft launches MPowerHer programme to upskill women in AI and tech in Singapore

Microsoft has launched the MPowerHer initiative in Singapore to support women in building AI and digital skills through training, mentorship, and career pathways. The programme is delivered with partners including SG Women in Tech, Mums@Work, and Code; Without Barriers.

The initiative was officially launched by Minister of State for the Ministry of Digital Development and Information, Rahayu Mahzam, at Microsoft Public Sector Solutions Day. It aims to support women across different life and career stages, including those returning to work after a career break.

MPowerHer combines foundational AI training with practical, team-based projects and career support. It also provides access to mentorship networks and community programmes designed to help participants move into employment or entrepreneurship.

The programme includes training in AI fundamentals, Microsoft Copilot, AI agents, and low-code and no-code tools. It is open to members of national communities such as SG Women in Tech, Mums@Work, and Code; Without Barriers, as well as other women across Singapore.

Microsoft Singapore Managing Director Wee Luen Chia said the initiative focuses on ensuring women are included in the AI-driven workforce. He added that it supports inclusive skills development and prepares participants for opportunities in the digital economy.

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World Internet Conference Asia-Pacific Summit opens in Hong Kong

The 2026 World Internet Conference Asia-Pacific Summit has opened in Hong Kong, hosted by the World Internet Conference, organised by the Hong Kong Special Administrative Region Government, and co-organised by the Innovation, Technology and Industry Bureau.

The Hong Kong government says the two-day summit is expected to bring together around 1,000 participants from more than 50 countries and regions, including government and business leaders, representatives of international organisations, and experts and scholars.

The programme includes remarks by Hong Kong Chief Executive John Lee and World Internet Conference Chairman and Director of the Cyberspace Administration of China Zhuang Rongwen, alongside other invited speakers from government, industry, and international organisations.

A ministerial meeting was convened during the summit, with officials and representatives of international organisations discussing topics including how AI can support high-quality economic growth. The programme also includes a government-enterprise dialogue and a main forum focused on the digital economy, innovation, and technology development.

Six sub-forums are scheduled as part of the summit, covering innovation and application of AI agents, digital finance, AI security and governance, AI for a better life, digital and intelligent health, and digital transformation and dissemination of classical texts.

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Belgian DPA releases new AI harms information brochure

The Belgian Data Protection Authority has outlined the impact of AI on privacy in a new publication, highlighting growing concerns around data use and protection. The analysis forms part of its ongoing work on emerging technologies.

According to the Belgian Data Protection Authority, AI systems rely on large volumes of data, which can increase risks related to the processing of personal data and compliance with existing regulations. This raises questions about transparency and accountability.

The authority notes that AI can make it more difficult for individuals to understand how their data is used, particularly in complex or automated decision-making systems. This may challenge established data protection principles.

The Authority emphasises the need to adapt regulatory approaches and safeguards to ensure privacy rights remain protected as AI adoption expands in Belgium.

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UNESCO to unveil AI in education observatory for Latin America and the Caribbean

UNESCO will launch the Observatory on AI in Education for Latin America and the Caribbean at a high-level event during the 2026 Forum of the Countries of Latin America and the Caribbean on Sustainable Development, organised by the Economic Commission for Latin America and the Caribbean.

The observatory is intended to support states in integrating AI into education systems across the region. UNESCO says the initiative is being developed with regional and international partners, including the Development Bank of Latin America and the Caribbean, the National Centre for AI of Chile, the Regional Center for Studies on the Development of the Information Society of Brazil, and the Economic Commission for Latin America and the Caribbean.

UNESCO describes the observatory as a regional cooperation platform bringing together knowledge production, institutional strengthening, and technical assistance in response to the growing use of AI in teaching, learning, and educational management. Its work covers research and policy, capacity development, innovation, and regional collaboration.

The organisation says the observatory will support comparative analysis, identify opportunities and risks, and assist in the design of regulatory frameworks, national strategies, and pilot initiatives. It also presents the launch as a coordination space for ministries of education, universities, research centres, the technology sector, civil society, and multilateral organisations.

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South Korea warns on AI fake news risks

Reporting by The Korea Herald states that South Korean Prime Minister Kim Min-seok has warned of the risks of AI-generated fake news ahead of an upcoming election. Authorities are urging greater vigilance as digital content becomes harder to verify.

According to the report, AI technologies are increasingly capable of producing realistic false information, including manipulated images and videos. This raises concerns about their potential impact on public opinion and trust.

The government has called for precautionary measures to limit the spread of misinformation and protect the integrity of democratic processes. This includes encouraging awareness and responsible use of AI tools.

The warning reflects broader concerns about the influence of AI driven disinformation during election cycles in South Korea.

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Corporate AI governance gaps highlighted in UNESCO report

UNESCO and the Thomson Reuters Foundation have published ‘Responsible AI in practice: 2025 global insights from the AI Company Data Initiative‘, presenting findings from what the report describes as the largest global dataset of corporate responsible AI disclosures.

The report analyses 2,972 companies across 11 sectors and multiple regions using publicly available disclosures and company survey responses collected through the AI Company Data Initiative.

The report says AI is being embedded across companies’ products, services, and internal operations faster than governance and disclosure are developing. It states that 43.7% of companies publicly communicate having an AI strategy or guidelines, but only 13% publicly claim adherence to a formal AI governance framework.

Among those that do cite a framework, 53% refer to the EU AI Act, while the report says 43.6% cite ‘other’ frameworks, which it presents as weakening comparability across the wider AI governance ecosystem.

The publication also says many companies describe AI governance in conceptual terms while providing less evidence on operational controls, accountability pathways, monitoring, and remediation. It states that 40% report board- or committee-level oversight on AI, and 12.4% report having a policy to ensure a human oversees AI systems.

At the same time, the publication says 72% of companies do not report conducting any AI-related impact assessment. Of those that do, 11% report environmental impact assessments and 7% report human rights impact assessments. The key statistics on page 10 visually present these findings.

Regarding labour impacts, the report says companies do not provide adequate protection for workers as AI reshapes jobs. It states that while 31% of companies claim to have AI training programmes, only 12% offered structured training with comprehensive coverage. It also argues that effective worker protection requires stronger evidence of reskilling, retraining, redeployment, transition support, and access to remedy where AI affects workers’ rights.

Why does it matter?

The report further states that ethical issues, including human rights and environmental impacts, are being sidelined in AI governance and risk management, while transparency regarding training data, third-party systems, and user rights remains uneven. It presents the AI Company Data Initiative as a tool to help companies assess their governance practices against UNESCO’s Recommendation on the Ethics of AI and to give investors more comparable information on how AI is governed in practice.

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UK government applies AI to improve efficiency in transport policy consultations

The UK Department for Transport (DfT) has introduced generative AI tools to speed up the analysis of public consultations, significantly reducing time and operational costs. Managing 55 consultations yearly, the department often handles over 100,000 responses per process, previously requiring months of manual review.

A new Consultation Analysis Tool, built with Google Cloud and the Alan Turing Institute, processes large datasets within hours using advanced AI. The system identifies key themes with up to 90% accuracy, enabling faster policy responses while delivering estimated annual savings of £4 million.

Beyond consultation analysis, the department has expanded its use of AI across infrastructure planning and public communication. Cloud-based tools support sustainable transport decisions and help draft public inquiry responses by retrieving policy data and generating structured replies.

Human oversight remains central to the framework. AI-generated outputs are reviewed for accuracy, fairness, and bias, ensuring that final decisions stay with policy experts while maintaining transparency and public trust in government processes.

At a wider level, this reflects how AI can strengthen evidence-based policymaking, improve administrative efficiency, and free up expert capacity for higher-value decision-making, provided that transparency, accountability, and human oversight remain embedded in the process.

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