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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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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UNESCO and the United Nations Development Programme (UNDP) have launched a joint initiative to support governments in developing rights-based data governance frameworks for AI. The programme reflects growing global efforts to align digital transformation with public interest objectives.
The Data governance for inclusive digital and AI futures initiative provides policymakers with practical tools to design transparent and accountable data systems, with a focus on safeguarding rights and enabling inclusive AI deployment.
It responds to increasing demand for structured governance approaches as countries expand the use of data-driven technologies.
Participants from multiple regions applied governance frameworks to areas including healthcare, digital identity, and social protection. These projects demonstrate how data governance can improve public service delivery while strengthening accountability and citizen trust.
Hosted at ITU Academy and supported by the EU Global Gateway initiative, the programme also promotes cross-country collaboration and knowledge exchange, reinforcing international coordination in data governance.
An initiative by UNESCO that highlights the importance of building institutional capacity to ensure that AI systems operate within clear legal and ethical frameworks.
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AI is becoming a central part of education in Vietnam, changing how schools are managed, how students learn, and how research is carried out. Officials say the shift is part of the country’s wider digital transformation in education.
Nguyễn Sơn Hải of Vietnam’s Ministry of Education and Training said earlier reforms focused on digitising activities, while AI is now reshaping teaching and administration more broadly. The ministry is also preparing legal and policy frameworks to support safe and controlled AI use in education.
Authorities have identified priorities, including AI skills for learners, shared digital platforms, and stronger infrastructure. An AI education programme for junior secondary pupils is being piloted and is expected to begin officially in the 2026–2027 academic year.
Universities are also adapting their strategies as AI changes higher education. Hanoi University of Science and Technology said it is redesigning training, assessment, and digital systems to reflect these changes.
At the same time, institutions, including Thai Nguyen University, are linking research more closely with business and local development needs. Officials say wider access to internet services and devices remains essential to ensure equal access to digital education.
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The European Commission has reported significant progress under its AI Continent Action Plan, marking one year of implementation aimed at strengthening Europe’s position in AI. The strategy focuses on infrastructure, data, talent, adoption and trustworthy AI.
Investment in computational capacity has expanded, with AI factories deployed across European supercomputers and further large-scale facilities in development. These initiatives aim to increase access to advanced computing resources for researchers and emerging companies.
On data governance, the Commission introduced the Data Union Strategy and complementary regulatory measures to improve data sharing and provide legal certainty for businesses.
Efforts to support talent development and mobility, alongside new training initiatives in the EU, form another central component of the plan.
The programme also promotes AI adoption across public and industrial sectors through targeted funding and coordinated initiatives. The overall approach reflects a policy framework designed to balance innovation with regulatory oversight and alignment with European values.
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Universities could play a central role in strengthening AI sovereignty across the European Union, it was said at a Brussels forum organised by Udice. Higher education institutions are positioned as key contributors to research, talent development and technological capability.
Universities already underpin much of Europe’s AI ecosystem through fundamental research and industry collaboration. Their role extends to training skilled workers needed to sustain long-term innovation.
However, challenges remain, including fragmented funding, competition for global talent and limited scaling of research into commercial applications. These barriers may constrain the European Union’s ability to capitalise on its academic strengths fully.
Yet, stronger coordination, investment and policy support could enable universities to act as a backbone for AI development and strategic autonomy in the European Union.
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Reporting by The Korea Herald highlights that AI is increasingly reshaping workplace expectations, with employees adapting how they approach tasks and productivity. The shift reflects broader changes in how work is organised and delivered.
The article indicates that workers are using AI tools to improve efficiency while also reassessing workloads and job design. This is leading to a growing focus on balancing automation with human input.
At the same time, organisations are being pushed to rethink management structures, accountability and skills development. The integration of AI is influencing both individual roles and wider organisational strategies.
The Korea Herald suggests that long-term success will depend on how effectively businesses align AI adoption with workforce needs and sustainable work practices globally.
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Armenpress reports that the Government of the Republic of Armenia plans to acquire an AI-powered road-scanning device to improve infrastructure maintenance. The system is intended to assess road conditions and guide repair decisions.
Minister of Territorial Administration and Infrastructure of the Republic of Armenia, Davit Khudatyan, stated that the AI technology will provide a detailed analysis by passing over road surfaces. The system is expected to improve planning and maintenance efficiency.
The project is estimated to cost between 500 and 600 million drams and forms part of broader efforts to modernise infrastructure management in Armenia.
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A new framework has been introduced by OpenAI to address risks of AI-enabled child abuse and strengthen protection mechanisms across digital systems.
An initiative that reflects growing concern over how emerging technologies can both enable and prevent harm.
The blueprint focuses on modernising legal frameworks to address AI-generated harmful content, improving reporting and coordination among service providers, and embedding safety measures directly into AI systems.
These measures aim to enhance early detection and prevent misuse at scale.
It emphasises coordinated responses and stronger accountability mechanisms.
An approach that combines technical safeguards, human oversight, and legal enforcement, aiming to improve response speed and reduce risks before harm occurs.
Ultimately, the initiative highlights the need for continuous adaptation as AI capabilities evolve and reshape online safety challenges.
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The European Commission has convened the second meeting of the Signatory Taskforce under the General-Purpose AI Code of Practice (GPAI), focusing on copyright protection in AI systems.
Participants examined methods to reduce copyright risks in AI-generated outputs, highlighting measures applied across the model’s lifecycle, including data selection, training, and deployment.
One approach presented involved training models on licensed content alongside attribution systems to identify similarities between generated outputs and source material. Such a method aims to support fair remuneration and strengthen accountability within AI development.
The meeting also addressed mechanisms for handling complaints from rights holders, with participants discussing procedures for accessible and timely responses.
An exchange that forms part of ongoing EU efforts to refine governance standards for AI systems and copyright compliance.
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