Digital cooperation Archives | Page 46 of 220

Microsoft urges systems approach to AI skills in Europe

AI is increasingly reshaping European workplaces, though large-scale job losses have not yet materialised. Studies by labour bodies show that tasks change faster than roles disappear.

Policymakers and employers face pressure to expand AI skills while addressing unequal access to them. Researchers warn that the benefits and risks concentrate among already skilled workers and larger organisations.

Education systems across Europe are beginning to integrate AI literacy, including teacher training and classroom tools. Progress remains uneven between countries and regions.

Microsoft experts say workforce readiness will depend on evidence-based policy and sustained funding. Skills programmes alone may not offset broader economic and social disruption from AI adoption.

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Microsoft launches Elevate for Educators programme

Elevate for Educators, launched by Microsoft, is a global programme designed to help teachers build the skills and confidence to use AI tools in the classroom. The initiative provides free access to training, credentials, and professional learning resources.

The programme connects educators to peer networks, self-paced courses, and AI-powered simulations. The aim is to support responsible AI adoption while improving teaching quality and classroom outcomes.

New educator credentials have been developed in partnership with ISTE and ASCD. Schools and education systems can also gain recognition for supporting professional development and demonstrating impact in classrooms.

AI-powered education tools within Microsoft 365 have been expanded to support lesson planning and personalised instruction. New features help teachers adapt materials to different learning needs and provide students with faster feedback.

College students will also receive free access to Microsoft 365 Premium and LinkedIn Premium Career for 12 months. The offer includes AI tools, productivity apps, and career resources to support future employment.

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Indian companies remain committed to AI spending

Almost all Indian companies plan to sustain AI spending even without near-term financial returns. A BCG survey shows 97 percent will keep investing, higher than the 94 percent global rate.

Corporate AI budgets in India are expected to rise to about 1.7 percent of revenue in 2026. Leaders see AI as a long-term strategic priority rather than a short-term cost.

Around 88 percent of Indian executives express confidence in AI generating positive business outcomes. That is above the global average of 82 percent, reflecting strong optimism among local decision-makers.

Despite enthusiasm, fewer Indian CEOs personally lead AI strategy than their global peers, and workforce AI skills lag international benchmarks. Analysts say talent and leadership alignment remain key as spending grows.

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Cloudflare acquires Human Native to build a fair AI content licensing model

San Francisco-based company Cloudflare has acquired Human Native, an AI data marketplace designed to connect content creators with AI developers seeking high-quality training and inference material.

A move that reflects growing pressure to establish clearer economic rules for how online content is used by AI systems.

The acquisition is intended to help creators and publishers decide whether to block AI access entirely, optimise material for machine use, or license content for payment instead of allowing uncontrolled scraping.

Cloudflare says the tools developed through Human Native will support transparent pricing and fair compensation across the AI supply chain.

Human Native, founded in 2024 and backed by UK-based investors, focuses on structuring original content so it can be discovered, accessed and purchased by AI developers through standardised channels.

The team includes researchers and engineers with experience across AI research, design platforms and financial media.

Cloudflare argues that access to reliable and ethically sourced data will shape long-term competition in AI. By integrating Human Native into its wider platform, the company aims to support a more sustainable internet economy that balances innovation with creator rights.

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EU allocates $356 million for AI and digital technologies

The European Commission has announced €307.3 million ($356 million) in new funding to advance digital technologies across the EU. The initiative aims to strengthen Europe’s innovation, competitiveness, and strategic digital autonomy.

A total of €221.8 million will support projects in AI, robotics, quantum technologies, photonics, and virtual worlds. One focus is the development of trustworthy AI services and innovative data solutions to enhance EU digital leadership.

More than €40 million has been allocated to the Open Internet Stack Initiative, which aims to advance end-user applications and core stack technologies, boosting European digital sovereignty. A second call of €85.5 million will target open strategic autonomy in emerging digital technologies and raw materials.

The funding is open to businesses, academic institutions, public administrations, and other entities from EU member states and partner countries. Priority areas include next-generation AI agents, industrial and service robotics, and new materials with enhanced sensing capabilities.

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Ofcom probes AI companion chatbot over age checks

Ofcom has opened an investigation into Novi Ltd over age checks on its AI companion chatbot. The probe focuses on duties under the Online Safety Act.

Regulators will assess whether children can access pornographic content without effective age assurance. Sanctions could include substantial fines or business disruption measures under the UK’s Online Safety Bill.

In a separate case, Ofcom confirmed enforcement pressure led Snapchat to overhaul its illegal content risk assessment. Revised findings now require stronger protections for UK users.

Ofcom said accurate risk assessments underpin online safety regulation. Platforms must match safeguards to real world risks, particularly when AI and children are concerned.

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Japan and ASEAN agree to boost AI collaboration

Japan and the Association of Southeast Asian Nations (ASEAN) have agreed to collaborate on developing new AI models and preparing related legislation. The cooperation was formalised in a joint statement at a digital ministers’ meeting in Hanoi on Thursday.

Proposed by Minister Hayashi, the initiative aims to boost regional AI capabilities amid US and Chinese competition. Japan emphasised its ongoing commitment to supporting ASEAN’s technological development.

The partnership follows last October’s Japan-ASEAN summit, where Prime Minister Takaichi called for joint research in semiconductors and AI. The agreement aims to foster closer innovation ties and regional collaboration in strategic technology sectors.

The collaboration will engage public and private stakeholders to promote research, knowledge exchange, and capacity-building across ASEAN. Officials expect the partnership to speed AI adoption while maintaining regional regulations and ethical standards.

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Council of Europe highlights legal frameworks for AI fairness

The Council of Europe recently hosted an online event to examine the challenges posed by algorithmic discrimination and explore ways to strengthen governance frameworks for AI and automated decision-making (ADM) systems.

Two new publications were presented, focusing on legal protections against algorithmic bias and policy guidelines for equality bodies and human rights institutions.

Algorithmic bias has been shown to exacerbate existing social inequalities. In employment, AI systems trained on historical data may unfairly favour male candidates or disadvantage minority groups.

Public authorities also use AI in law enforcement, migration, welfare, justice, education, and healthcare, where profiling, facial recognition, and other automated tools can carry discriminatory risks. Private-sector applications in banking, insurance, and personnel services similarly raise concerns.

Legal frameworks such as the EU AI Act (2024/1689) and the Council of Europe’s Framework Convention on AI, human rights, democracy, and the rule of law aim to mitigate these risks. The publications review how regulations protect against algorithmic discrimination and highlight remaining gaps.

National equality bodies and human rights structures play a key role in monitoring AI/ADM systems, ensuring compliance, and promoting human rights-based deployment.

The webinar highlighted practical guidance and examples for applying EU and Council of Europe rules to public sector AI initiatives, fostering more equitable and accountable systems.

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SRB GDPR case withdrawn from EU court

A high-profile EU court case on pseudonymised data has ended without a final ruling. The dispute involved the Single Resolution Board and the European Data Protection Supervisor.

The case focused on whether pseudonymised opinions qualify as personal data under the GDPR. Judges were also asked to assess reidentification risks and notification duties.

After intervention by the Court of Justice of the European Union, the matter returned to the General Court. Both parties later withdrew the case, leaving no binding judgement.

Legal experts say the CJEU’s guidance continues to shape enforcement practice. Regulators are expected to reflect those principles in updated EU pseudonymisation guidelines.

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Wikipedia marks 25 years with new global tech partnerships

Wikipedia marked its 25th anniversary by showcasing the rapid expansion of Wikimedia Enterprise and its growing tech partnerships. The milestone reflects Wikipedia’s evolution into one of the most trusted and widely used knowledge sources in the digital economy.

Amazon, Meta, Microsoft, Mistral AI, and Perplexity have joined the partner roster for the first time, alongside Google, Ecosia, and several other companies already working with Wikimedia Enterprise.

These organisations integrate human-curated Wikipedia content into search engines, AI models, voice assistants, and data platforms, helping deliver verified knowledge to billions of users worldwide.

Wikipedia remains one of the top ten most visited websites globally and the only one in that group operated by a non-profit organisation. With over 65 million articles in 300+ languages, the platform is a key dataset for training large language models.

Wikimedia Enterprise provides structured, high-speed access to this content through on-demand, snapshot, and real-time APIs, allowing companies to use Wikipedia data at scale while supporting its long-term sustainability.

As Wikipedia continues to expand into new languages and subject areas, its value for AI development, search, and specialised knowledge applications is expected to grow further.

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