Kazakhstan positions AI at heart of industrial strategy

Addressing the Digital Qazaqstan 2026 forum on 27 March, Kazakhstan’s Prime Minister Olzhas Bektenov positioned AI as foundational infrastructure comparable to energy and transport networks, with three priorities centring on institutional foundations, digital infrastructure and human capital.

The government plans to develop sector-specific datasets and specialised AI language models for energy, mining, agriculture and logistics industries throughout 2026.

Kazakhstan is establishing a dedicated university focused on AI and rolling out the national AI-Sana programme to build an education ecosystem spanning schools, professional training and tech entrepreneurship.

Prime Minister Bektenov concluded by highlighting Kazakhstan’s competitive advantages, including affordable electricity and low latency for high-performance computing systems.

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Oracle expands AI options for US government agencies

The US government is set to gain expanded AI capabilities through new infrastructure and model deployment options in Oracle Cloud.

These developments aim to improve agencies’ ability to manage critical tasks, from situational awareness to cybersecurity, while maintaining strict security and compliance standards.

High-performance GPUs and AI models will support faster, more reliable inference and training, helping agencies respond more effectively to public needs.

The focus is on enabling secure deployment in environments with sensitive data and complex regulatory requirements, ensuring AI use aligns with public interest and safety.

Such an expansion builds on existing government AI frameworks, offering capabilities for retrieval-augmented generation, secure inference, and operational analytics.

By integrating AI in a controlled, compliant environment, US agencies can improve efficiency, decision-making, and public service delivery without compromising security.

Ultimately, these advancements by Oracle aim to ensure that government AI adoption benefits citizens directly, supporting transparency, accountability, and effective public administration in high-stakes contexts.

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Nova Scotia launches five person AI team to support government operations

Nova Scotia will recruit a five-person team to help integrate AI into provincial government operations, marking a more structured push to introduce AI tools into public service work across Canada. Jennifer LaPlante, deputy minister of cybersecurity and digital solutions, said the group will develop protocols for staff across departments as the province expands its use of AI.

The team is expected to identify tools that could improve productivity and efficiency in government work, including systems such as Microsoft Copilot for tasks like drafting documents and summarising information. The move suggests that Nova Scotia is shifting from limited experimentation towards a more organised approach to AI adoption in public administration.

Officials say existing rules already govern the use of some AI meeting tools and virtual assistants, while a broader responsible-use policy is still being developed. That places the province’s AI push within a wider effort to balance innovation with security, oversight, and system protection.

Funding will come from a C$4.4 million investment to establish AI capabilities during the current fiscal year. Part of that budget will go towards licences and software, with room for the team to grow over time.

The department has also launched an AI chatbot, Scottie, to answer public questions about government services. According to officials, the tool retrieves information from existing government sources rather than generating new content, suggesting an effort to limit risk while expanding AI use in public-facing services.

Taken together, the measures point to a broader effort to embed AI more formally into provincial government operations, not only through tools and staffing but also through internal rules governing its use.

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EU delegation in China calls for sustainable e-commerce and safety standards

Members of the European Parliament (MEPs) completed a visit to Beijing and Shanghai to address pressing e-commerce challenges affecting the European single market.

The delegation studied local business models and market supervision frameworks, engaging with Chinese regulators, e-commerce platforms, and the EU company representatives.

The discussions highlighted the surge of parcels from China, which now account for 91% of small shipments to Europe, and the resulting pressures on fair competition.

MEPs stressed that regulatory compliance must be consistent across all operators, ensuring consumer protection is not compromised by disparities in market practices or enforcement gaps.

The delegation urged representatives of e-commerce platforms to implement preventive measures, reinforcing accountability in areas such as product safety, customs compliance, and the removal of unsafe goods from the market.

MEPs underscored that these standards are essential to maintaining a sustainable and secure e-commerce environment for European citizens.

The visit, the first in eight years, demonstrated the EU’s commitment to safeguarding consumer rights, strengthening international cooperation, and ensuring digital commerce evolves in a manner that is fair, transparent, and safe for all citizens.

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Digital services trade reshapes global economy

Global services trade is expanding rapidly, increasingly driven by digital delivery, but policymakers warn that uneven access could deepen global inequality rather than narrow it. The issue was highlighted during the 14th session of the World Trade Organisation Ministerial Conference held in Yaoundé.

Services now account for more than a quarter of global trade and have grown at more than twice the rate of goods over the past decade. Yet developing economies remain significantly underrepresented in higher-value digitally delivered services exports.

The gap is pronounced. More than 60% of services exports in advanced economies are digitally delivered, compared with just 16% in the poorest countries. Limited data availability and weaker statistical systems further reduce the ability of many states to design effective trade, digital economy, and development policies.

Efforts led by the UN Trade and Development, in cooperation with the World Trade Organisation and the World Bank, are focused on improving data collection, strengthening policy frameworks, and supporting competitiveness in services exports.

The disparity is shaping how the gains from the fastest-growing segment of global trade are distributed. Without greater inclusive access, the expansion of services risks reinforcing existing economic imbalances rather than supporting broader development.

That makes current international efforts more than a technical exercise in data and trade measurement. They are also a test of whether digital trade growth can be translated into more inclusive economic participation for countries that remain at the margins of high-value services exports.

Why does it matter?

Because digitally delivered services are becoming one of the most dynamic parts of the global economy, and the countries that cannot participate fully risk falling even further behind. The issue is no longer only about trade volumes, but about who has the infrastructure, data capacity, skills, and policy tools to benefit from the digital economy. If those gaps persist, the fastest-growing part of global trade could end up concentrating gains in already advanced markets while leaving poorer economies with limited access to the most valuable segments of cross-border services.

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MIT develops AI framework to test ethics in autonomous systems

Researchers at MIT have introduced a new framework designed to evaluate the ethical impact of autonomous systems used in high-stakes environments. The approach aims to identify cases where AI-driven decisions may be technically efficient but fail to meet fairness expectations.

Growing reliance on AI in areas such as energy distribution and traffic management has raised concerns about unintended bias. Cost-optimised systems can still disadvantage communities, especially when ethical factors are hard to measure.

The framework, known as SEED-SET, separates objective performance metrics from subjective human values. A large language model is used to simulate stakeholder preferences, enabling the system to compare scenarios and detect where outcomes diverge from ethical expectations.

Testing shows the method generates more relevant scenarios while reducing manual analysis. Findings highlight its potential to improve transparency and support more balanced decision-making before AI systems are deployed.

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EIB highlights AI as key driver of Croatia’s economic growth

The European Investment Bank and the Croatian National Bank have emphasised the strategic importance of AI in strengthening Croatia’s economic competitiveness. Discussions at a joint conference focused on accelerating AI adoption through coordinated investment, policy development and skills enhancement.

Despite strong investment activity among firms in Croatia, the uptake of advanced technologies remains limited. Only a small share of companies systematically use generative AI, with applications largely confined to internal processes, highlighting significant untapped potential for productivity gains.

Participants identified key structural barriers, including limited access to finance, shortages of skilled workers and regulatory uncertainty.

Addressing these challenges requires a combined approach that mobilises private capital, improves access to funding for smaller firms and supports the development of a more robust innovation ecosystem.

The EIB continues to play a central role in Europe’s digital transformation, with major funding initiatives aimed at scaling AI technologies and strengthening strategic infrastructure.

By aligning financial instruments with policy priorities, the initiative seeks to enhance long-term growth, resilience and integration into global value chains.

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EPO accelerates digital patent shift with paperless system by 2027

The European Patent Office (EPO) is accelerating its transition towards a fully digital patent system, with plans to implement a paperless patent-granting process by 2027.

Discussions at the latest eSACEPO meeting highlighted steady progress and broad stakeholder support for modernising patent workflows.

Electronic filing and communication are set to become the default, with paper-based processes limited to exceptional cases. The shift aims to improve efficiency and accessibility, supported by legal adjustments and the gradual introduction of structured data formats to enhance processing accuracy.

Digital tools continue to evolve, with the MyEPO platform expanding its functionality through interface upgrades, self-service features and new capabilities such as colour drawing submissions.

The rollout of DOCX filing, alongside optional PDF backups, reflects a cautious approach designed to balance innovation with reliability.

AI is increasingly integrated into patent examination processes, supporting tasks such as search and documentation.

However, the EPO maintains a human-centric model, ensuring that decision-making authority remains with patent examiners while AI enhances productivity and consistency.

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New Oracle agentic AI tool streamlines CAD to procurement workflows

Oracle has launched a new agentic AI application designed to connect engineering and procurement into a single workflow. The Design-to-Source Workspace for product lifecycle management aims to reduce delays, improve traceability, and minimise compliance risks across sourcing processes.

Traditional design-to-source models often operate sequentially, with engineering and procurement working in separate stages. Oracle’s approach replaces that structure with a continuous, coordinated loop, where AI evaluates cost, supply, and risk in real time as designs evolve.

The platform translates CAD data directly into sourcing actions, eliminating manual input and reducing errors. Automated workflows handle supplier identification, risk assessment, and request-for-quote execution, while maintaining compliance and auditability throughout the process.

Expected gains include up to 60% less manual work, significantly faster RFQ cycles, and a 20% to 30% reduction in overall sourcing timelines. Greater accuracy and improved decision-making allow teams to focus on higher-value tasks rather than repetitive coordination.

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Experts warn YouTube AI slop harms children and demand action

Fairplay and more than 200 experts have urged YouTube to address the spread of ‘AI slop’ targeting children. The letter was sent to Sundar Pichai and Neal Mohan, along with a petition.

The signatories state that AI-generated videos harm children’s development by distorting reality and overwhelming learning processes. They also warn that such content captures attention and is being recommended to young users, including infants and toddlers.

The letter cites findings that 40% of videos following shows like Cocomelon contained AI-generated content. It also states that 21% of Shorts recommendations included similar material, and misleading science videos were shown to older children.

Fairplay and its partners propose measures, including labelling AI content and banning it from YouTube Kids. They also call for restrictions on recommendations to under-18s and for tools that allow parents to turn off such content.

The initiative was organised by Fairplay and supported by organisations and experts, including Jonathan Haidt. The group says platforms must ensure content is safe and appropriate for children.

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