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Google says AI Mode surpasses one billion monthly users

Google said its AI Mode feature has surpassed one billion monthly active users globally. The figures were published in a company blog post marking one year since the feature’s launch.

According to Google, AI Mode query volumes have more than doubled each quarter since launch. Google described AI Mode as combining traditional search functions with conversational AI interactions.

The company also reported increasing use of voice and image-based search features in the United States. Google said image-based searches and planning-related AI Mode queries have grown significantly in recent months.

The company also highlighted growth in exploratory and idea-oriented search queries. The update was released ahead of Google I/O 2026 and reflects Google’s broader focus on AI-integrated search experiences.

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Taiwan says power supply ready for AI growth

Taiwan’s Ministry of Economic Affairs said the country is prepared to meet increasing electricity demand linked to the AI data centre expansion. The comments followed remarks by Nvidia CEO Jensen Huang regarding the growing energy requirements of AI infrastructure development. Huang stated that sufficient power availability would be important for continued AI-related economic growth.

Construction of Nvidia’s planned Taiwan headquarters at Taipei’s Beitou–Shilin Technology Park is scheduled to begin this week.

According to officials, four gas-fired power plants are expected to gradually enter operation by the end of 2026, adding approximately 5.2 gigawatts of electricity capacity. Additional public and private power generation projects are also planned between 2027 and 2031.

The ministry said Taiwan’s experience supporting energy-intensive semiconductor industries has informed existing infrastructure planning. Officials stated that anticipated energy demand from AI-related industries had already been incorporated into long-term planning processes.

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Vietnam introduces mandatory labels for AI-generated content

Vietnam will require disclosure labels for certain AI-generated and AI-edited content from May under a new government decree aimed at improving online transparency.

Under Decree 142/2026/ND-CP, organisations and individuals using AI systems must disclose when content has been created or altered by AI in ways that could affect perceptions of authenticity.

The rules apply to AI-generated or AI-edited audio, image, and video content, particularly material imitating real people or realistic events. Particularly, it applies to content that imitates the appearance or voice of real people or recreates real-life events in a convincing manner. According to the decree, disclosures must be clear, visible, and recognisable before or during user access to the content.

The decree states that disclosures designed to obscure the AI-generated nature of content will not satisfy the requirements. Anyways, several exemptions are included. Several exemptions are included, such as technical quality improvements that do not materially alter content.

The framework also excludes certain AI-assisted editing functions, including spelling correction, translation, summarisation, and grammar editing, where original meaning is preserved. Additional exemptions apply to internal organisational use and controlled research or testing environments not intended for public release. At the end, content produced during research, development or testing activities in controlled environments and not released to the public is also an exemption.

Authorities said disclosures may take different forms depending on content type, including labels, captions, interface notices, or audio announcements. Labels may appear directly on content, in titles, captions and descriptions, through platform interfaces or even as audio announcements. Films and artistic productions may include disclosures in opening sections, end credits or supporting materials.

Responsibility for compliance will apply both to parties generating AI content and those distributing it publicly. Parties generating or editing AI content must provide the information needed for labelling, while those publishing the material to the public must ensure disclosure rules are followed.

Vietnam’s Ministry of Science and Technology is expected to publish additional technical guidance related to the implementation of the disclosure framework. Officials said the guidance would not create additional administrative procedures or business conditions or obligations beyond those already outlined in the decree.

Why does it matter?

The decree reflects broader international efforts to improve transparency around AI-generated media as synthetic content becomes more realistic and widely accessible. Disclosure requirements are increasingly being explored by governments as a way to address misinformation risks, impersonation concerns, and public trust in digital content.

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Greece launches public AI literacy guide for citizens

Greece’s Ministry of Digital Governance and Artificial Intelligence has launched ‘Artificial Intelligence for All’, a public guide designed to improve understanding and use of AI tools.

The guide was developed through cooperation between leading AI scientists, the Ministry of Digital Governance and Artificial Intelligence, the National Council for Research, Technology and Innovation, and the Special Secretariat for Long-Term Planning. The guide is available free of charge through the digital platform of the Special Secretariat for Artificial Intelligence and Data Governance.

According to the ministry, the initiative aims to support digital education, responsible AI use, and a broader understanding of AI systems.

The material introduces basic concepts related to AI and large language models through practical examples and simplified explanations. The guide explains how AI systems can process different forms of data and generate outputs, including recommendations, summaries, and digital content.

The project forms part of Greece’s broader digital strategy focused on digital skills development and public familiarity with emerging technologies.

Officials also highlighted collaboration with the members of the Greek scientific community in Greece and abroad, with the objective of making advanced technological tools more accessible to the wider population.

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Environmental group raises concerns over AI data centre emissions in Scotland

Environmental charity APRS has criticised the Scottish Government over how greenhouse gas emissions linked to hyperscale AI data centres are assessed within existing planning and climate frameworks.

According to APRS, earlier lifecycle emissions assessments focused primarily on broadband and smaller-scale digital infrastructure before the recent expansion of generative AI-related facilities.

The concerns are linked to a proposed 212MW AI data centre project in Edinburgh, currently involved in a planning appeal process.

APRS argued that the term ‘green data centre’ lacks a clear policy definition in relation to large-scale AI infrastructure projects. The organisation said Scotland does not yet have a dedicated policy framework addressing hyperscale AI data centres.

APRS stated that multiple large-scale data centre proposals are currently under consideration across Scotland. The group warned that growing electricity demand linked to data centre expansion could have implications for energy planning and climate objectives.

APRS also called for updated lifecycle emissions assessments and revised planning guidance for hyperscale AI infrastructure projects.

Why does it matter?

The debate highlights a widening policy gap between the rapid expansion of AI infrastructure and existing environmental planning frameworks. Many national climate assessments were created before the emergence of hyperscale generative AI systems, meaning governments may be underestimating the energy, emissions, and resource demands associated with large-scale AI deployment.

It also demonstrates how AI is no longer only a digital or technological policy challenge, but increasingly an environmental, infrastructure, and energy governance issue.

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Singapore pushes trusted AI governance with KPMG AI centre

Singapore’s Ministry of Digital Development and Information has highlighted trust and accountability as key factors in AI adoption during the launch of KPMG’s new Trusted AI Centre of Excellence. Minister of State Jasmin Lau said governments and businesses should ensure AI adoption benefits workers, citizens, and smaller enterprises alongside larger organisations.

The new centre will focus on AI governance, monitoring systems, and AI-related assurance processes as organisations deploy increasingly advanced AI models. KPMG said it is using AI tools internally across audit, tax, and advisory services before broader deployment to clients.

Singapore also reiterated its goal of strengthening its role in regional AI governance and standards development. Officials highlighted efforts involving ASEAN cooperation, AI testing capabilities, and governance initiatives such as AI Verify. According to officials, transparency, explainability, and accountability will remain important factors influencing public confidence in AI systems.

The discussions also reflected broader concerns about AI-related economic disruption, governance challenges, and public trust. Officials noted that businesses and workers continue to face uncertainty regarding AI governance, compliance, and the economic effects of AI adoption.

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European Patent Office expands AI use in patent examination

The European Patent Office (EPO) has presented new AI-related initiatives aimed at supporting quality and efficiency within the European patent system during the latest meeting of the SACEPO Working Party on Quality.

The online gathering brought together 71 representatives from around the world to discuss examination standards, AI integration and long-term improvements to patent procedures. EPO President António Campinos described quality as a central element of the European patent system during the meeting.

The EPO also provided updates on its Quality Action Plan 2026, including examiner training, access to prior-art information, and examination harmonisation efforts. Officials also discussed insights drawn from quality audits and decisions issued by the Boards of Appeal.

Participants discussed the increasing use of AI-supported tools within the patent-granting process. According to the EPO, AI systems are being developed to assist with tasks including pre-search procedures, drafting support, legal queries, and preparation of oral proceedings documentation.

Participants also highlighted the importance of confidentiality, accountability, and human oversight in AI-supported systems.

The EPO stated that final patent examination decisions remain under human responsibility in line with its human-centric AI policy. The meeting additionally examined broader adoption of AI tools across patent and legal sector workflows, quality assurance and secure handling of sensitive intellectual property information.

Why does it matter?

The integration of AI into patent examination highlights how intellectual property systems are adapting to growing technological complexity and increasing volumes of patent applications worldwide. Faster and more consistent examination processes could strengthen innovation ecosystems across Europe, particularly in AI, semiconductors, biotechnology and digital industries.

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Pope Leo XIV releases first encyclical focused on AI and human dignity

Pope Leo XIV has released his first encyclical, Magnifica humanitas: On Safeguarding the Human Person in the Time of Artificial Intelligence, positioning AI as one of the defining moral, political and social challenges of the modern era.

Published by Vatican on the 135th anniversary of Rerum novarum, the document argues that AI must remain centred on human dignity, social justice and peace instead of becoming a tool for domination, exclusion or concentrated power.

The encyclical states that technological systems reflect the priorities and values of those responsible for their design, financing, and governance. The Pope also warned against forms of technocratic governance and excessive concentration of technological power.

The document highlighted concerns related to surveillance, digital inequality, manipulation of public opinion, and concentration of technological infrastructure.

The encyclical also addressed labour, education, and social justice implications linked to AI-driven automation. According to the document, technological systems should support human well-being and dignity rather than undermine workers’ autonomy and social participation. He also called for stronger protections for vulnerable groups, ethical oversight of AI deployment and fair access to digital opportunities.

The Vatican also stressed the importance of critical thinking, creativity, and moral judgement in education systems increasingly influenced by AI technologies.

The document additionally discussed geopolitical and military dimensions of AI, including concerns surrounding autonomous weapons systems. Pope Leo XIV rejected the growing use of autonomous weapons and criticised efforts to normalise AI-assisted warfare.

The encyclical called for stronger international cooperation and ethical governance frameworks related to AI development and deployment. According to the Pope, humanity faces a decisive choice between technological systems that strengthen human flourishing or systems that weaken freedom, solidarity and peace.

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Kazakhstan launches UNESCO AI readiness assessment initiative

The United Nations Educational, Scientific and Cultural Organization has announced the launch of its AI Readiness Assessment Methodology in Kazakhstan to evaluate the country’s preparedness for AI governance and development.

The framework is intended to help countries align AI governance approaches with UNESCO Recommendation on the Ethics of AI. Representatives from government, academia, business, civil society, and expert organisations participated in the launch discussions.

Participants discussed Kazakhstan’s digital transformation priorities and plans related to AI ecosystem development. According to UNESCO representatives, the assessment process will address issues including human rights, inclusion, gender equality, and transparency in AI governance.

A national stakeholder group involving ministries, universities, business associations, and civil society organisations will support implementation and policy recommendations. The launch event was held at Astana Hub in Kazakhstan.

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Anthropic says AI system identified thousands of critical software flaws

Anthropic has published an update on Project Glasswing, a cybersecurity initiative focused on identifying software vulnerabilities using AI systems.

According to Anthropic, partner organisations used Claude Mythos Preview to identify thousands of high- and critical-severity vulnerabilities across software platforms and infrastructure systems.

The company said the initiative demonstrated how AI systems are increasing the speed and scale of vulnerability discovery processes. Anthropic reported that participating organisations observed substantial increases in software vulnerability detection capabilities during testing.

Evaluations cited by Anthropic suggested the system performed strongly in vulnerability identification and exploit-detection tasks compared with earlier AI cybersecurity models.

Anthropic also said the model analysed more than 1,000 open-source projects and identified vulnerabilities affecting widely used software components. The company highlighted a vulnerability identified in the open-source cryptography library wolfSSL as one example from the project.

According to Anthropic, the vulnerability was patched after disclosure.

Anthropic said AI-assisted vulnerability discovery may increasingly shift cybersecurity challenges toward verification, disclosure, and remediation processes. The company also said similar AI cybersecurity capabilities are likely to become more widely available across the industry.

Why does it matter?

The rapid growth of AI-driven cybersecurity is becoming increasingly important as AI is fundamentally changing the balance between cyber defence and cyber threats. Systems such as Anthropic’s Project Glasswing demonstrate that advanced AI models can identify software vulnerabilities at a speed far beyond traditional human-led security testing, potentially making critical infrastructure, financial systems, cloud platforms, and open-source software both safer and more exposed at the same time.

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