Artificial intelligence Archives | Page 16 of 668

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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New OECD measure compares AI and job capabilities

The OECD has published a new framework designed to assess how closely current AI capabilities align with the requirements of different occupations.

The paper, ‘The OECD AI Exposure Measure‘, maps OECD AI Capability Indicators to occupations and introduces an AI Capability Gap Index. According to the OECD, the framework is intended to support analysis of potential AI impacts on work, skills, education, and labour-market policy.

The framework compares AI capabilities with occupational requirements across nine domains: language, social interaction, problem-solving, creativity, metacognition and critical thinking, knowledge, learning and memory, vision, manipulation, and robotic intelligence. Occupations with smaller capability gaps are considered more exposed to current AI capabilities, while larger gaps indicate a greater distance between AI systems and occupational requirements.

The OECD emphasised that the measure is not intended as a prediction of automation or job loss. It measures potential exposure to current AI capabilities, while actual labour-market effects will also depend on adoption, costs, task structure, regulation, organisational uptake, and social choices.

The report found that occupations involving routine information processing and administrative tasks currently show the highest levels of AI exposure. Office and administrative support occupations record the lowest total gap index, followed by production, food preparation and serving, and sales-related occupations.

Occupations relying more heavily on judgement, social interaction, interpretation, and non-standardised physical activity showed larger capability gaps.

The paper also noted that different forms of AI may affect occupations differently depending on whether work relies more on reasoning, communication, robotics, or physical interaction.

The OECD said the framework could support future task-level analysis, scenario modelling, and country-specific assessments of AI-related labour-market change. Future work may extend the approach to task-level analysis, scenario applications, macroeconomic modelling, and country-level assessments.

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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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Argentina launches AI ‘Digital Twin’ system for social policy simulations

Argentina’s Ministry of Human Capital has launched the ‘Digital Twin’ initiative, an AI-based system intended to simulate potential impacts of social policies before implementation. According to the government, the project is part of broader efforts to use data analysis and predictive tools in public policy planning.

The system is designed to model scenarios related to areas including poverty, subsidies, and human capital development using large-scale datasets. Officials said the initiative could support more anticipatory and data-informed policymaking processes.

The announcement by President Javier Milei was followed by public criticism related to promotional materials associated with the initiative. Opposition representatives have requested additional information concerning the project’s legal basis, data usage, and privacy safeguards.

Privacy specialists and analysts also raised concerns about governance frameworks, data aggregation, and potential profiling risks. The government has not yet publicly detailed oversight mechanisms or specific data protection standards linked to the initiative.

Why does it matter?

Argentina’s Digital Twin project reflects a broader global shift towards using AI to simulate and predict social and economic outcomes, potentially reshaping how governments design and test public policy. If effective, such systems could improve efficiency by allowing policymakers to model interventions before implementation, reducing costly or ineffective decisions.

At the same time, the initiative raises significant governance and civil liberties concerns, particularly around large-scale data aggregation and the potential for algorithmic profiling of citizens.

Without clear transparency, oversight, and privacy safeguards, predictive governance tools risk shifting from policy optimisation instruments into systems that enable expanded state surveillance and reduced accountability.

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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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NSW privacy survey highlights concern over AI and data breaches

Australia’s NSW Privacy Commissioner has published the latest biennial survey on community attitudes towards privacy, highlighting strong public concern over data breaches and the use of AI and automated decision-making by government agencies.

The Information and Privacy Commission’s 2026 Community Attitudes Survey provides an indicative picture of public views in New South Wales on privacy rights, data breaches, access to personal information, and government use of emerging technologies. For the first time, the survey also includes findings on AI and automated decision-making.

The survey found that 70% of respondents were concerned about the NSW government’s use of AI and automated decision-making technologies in public decisions. It also found that 99% of respondents considered the NSW Government’s protection of personal information important, the highest result recorded in the survey. Just under 75% were aware that they could access and amend their personal information, apply for a review, or make a complaint with a NSW Government agency.

Concern about data breaches was also high, with 84% to 91% of respondents worried about deliberate hacking, inappropriate sharing, accidental release, and unauthorised access to personal information. Among respondents affected by a breach, 53% had contact information compromised, while 44% had identification information compromised.

Privacy Commissioner Sonia Minutillo said the findings showed that the public places a high value on privacy and is concerned about the risks posed by data breaches and new technologies. She said NSW public sector agencies could strengthen trust by implementing robust governance frameworks for the use of personal information and maintaining strong privacy practices.

The IPC said it will use the results to identify ways to support agencies and the community, and to inform its forward work under the Privacy Proactive Regulatory Initiatives Program.

Why does it matter?

The findings point to a growing trust challenge for public-sector AI deployment. As governments expand the use of AI and automated decision-making, public confidence will depend not only on technical safeguards but also on privacy governance, transparency, and clear avenues for people to access, amend, or challenge the use of their personal information.

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