EU supports Germany’s semiconductor expansion

The European Commission has approved €623 million in German support for two first-of-a-kind semiconductor factories in Dresden and Erfurt.

A funding that will help GlobalFoundries expand its site to create new wafer capacity and will assist X-FAB in building an open foundry designed for advanced micro-electromechanical systems.

Both projects aim to increase Europe’s strategic autonomy in chip production, rather than allowing dependence on non-European suppliers to deepen.

The facility planned by GlobalFoundries will adapt technologies developed under the IPCEI Microelectronics and Communication Technologies framework for dual-use needs in aerospace, defence and critical infrastructure.

The manufacturing process will take place entirely within the EU to meet strict security and reliability demands. X-FAB’s project will offer services that European firms, including start-ups and small companies, currently source from abroad.

A new plant that is expected to begin commercial operation by 2029 and will introduce manufacturing capabilities not yet available in Europe.

In return for public support, both companies will pursue innovation programmes, strengthen cross-border cooperation, and apply priority-rated orders during supply shortages, in line with the European Chips Act.

They will also develop training schemes to expand the pool of skilled workers, rather than relying on the limited existing capacity. Each company has committed to seeking recognition for its facilities as Open EU Foundries.

The Commission concluded that the aid packages comply with the EU State aid rules because they encourage essential economic activity, show apparent incentive effects and remain proportionate to funding gaps identified during assessment.

These measures form part of Europe’s broader shift toward a more resilient semiconductor ecosystem and follow earlier decisions supporting similar investments across member states.

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RightsX Summit 2025: Governing technology through human rights

Human Rights Day takes place on 10 December each year to commemorate the Universal Declaration of Human Rights (UDHR), adopted by the UN in 1948. It functions as a reminder of shared international commitments to dignity, equality and freedom, and seeks to reaffirm the relevance of these principles to contemporary challenges.

In 2025, the theme ‘Human Rights: Our Everyday Essentials’ aimed to reconnect people with how rights shape daily life, emphasising that rights remain both positive and practical foundations for individual and collective well-being.

 Text, Newspaper, Adult, Male, Man, Person, Accessories, Jewelry, Necklace, Eleanor Roosevelt

Human Rights Day also serves as a moment for reflection and action. In a world shaped by rapid technological change, geopolitical instability and social inequalities, the day encourages institutions, governments and civil society to coordinate on priorities that respond to contemporary threats and opportunities.

In this context, the RightsX Summit was strategically scheduled. By centring discussions on human rights, technology, data and innovation around Human Rights Day, the event reinforced that digital governance issues are central to rights protection in the twenty-first century. The alignment elevated technology from a technical topic to a political and ethical concern within human rights debates.

The RightsX Summit 2025

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The summit brought together governments, the UN system, civil society, private sector partners and innovators to explore how technology can advance human rights in the digital age. Its aim was to produce practical insights, solution-focused dialogues and discussions that could inform a future human rights toolbox shaped by technology, data, foresight and partnerships.

Central themes included AI, data governance, predictive analytics, digital security, privacy and other emerging technologies. Discussions analysed how these tools can be responsibly used to anticipate risks, improve monitoring, and support evidence-based decision-making in complex rights contexts.

The summit also examined the challenge of aligning technological deployment with internationally recognised human rights norms, exploring the mechanisms by which innovation can reinforce equity, justice and accountability in digital governance.

The summit emphasised that technological innovation is inseparable from global leadership in human rights. Aligning emerging tools with established norms was highlighted as critical to ensure that digital systems do not exacerbate existing inequalities or create new risks.

Stakeholders were encouraged to consider not only technical capabilities but also the broader social, legal and ethical frameworks within which technology operates.

The 30x30x30 Campaign

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The 30x30x30 initiative represents an ambitious attempt to operationalise human rights through innovation. Its objective is to deliver 30 human rights innovations for 30 communities by 2030, aligned with the 30 articles of the UDHR.

The campaign emphasises multistakeholder collaboration by uniting countries, companies and communities as co-creators of solutions that are both technologically robust and socially sensitive. A distinctive feature of 30x30x30 is its focus on scalable, real-world tools that address complex rights challenges.

Examples include AI-based platforms for real-time monitoring, disaster tracking systems, digital storytelling tools and technologies for cyber peace. These tools are intended to serve both institutional responders and local communities, demonstrating how technology can amplify human agency in rights contexts.

The campaign also highlights the interdependence of innovation and human rights. Traditional approaches alone cannot address multidimensional crises such as climate displacement, conflict, or systemic inequality, and innovation without human-rights grounding risks reinforcing existing disparities.

‘Innovation is Political’

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Volker Türk, UN High Commissioner for Human Rights, emphasised that ‘innovation is political’. He noted that the development and deployment of technology shape who benefits and how, and that decisions regarding access, governance and application of technological tools carry significant implications for equity, justice and human dignity.

This framing highlights the importance of integrating human rights considerations into innovation policy. By situating human rights at the centre of technological development, the summit promoted governance approaches that ensure innovation contributes positively to societal outcomes.

It encouraged multistakeholder responsibility, including governments, companies and civil society, to guide technology in ways that respect and advance human rights.

Human Rights Data Exchange (HRDx)

HRDx is a proposed global platform intended to improve the ethical management of human rights data. It focuses on creating systems where information is governed responsibly, ensuring that privacy, security and protection of personal data are central to its operation.

The platform underlines that managing data is not only a technical issue but also a matter of governance and ethics. By prioritising transparency, accountability and data protection, it aims to provide a framework that supports the responsible use of information without compromising human rights.

Through these principles, HRDx highlights the importance of embedding ethical oversight into technological tools. Its success relies on maintaining the balance between utilising data to inform decision-making and upholding the rights and dignity of individuals. That approach ensures that technology can contribute to human rights protection while adhering to rigorous ethical standards.

Trustworthy AI in human rights

The government has withdrawn the mandate for Sanchar Saathi, responding to public backlash and industry resistance.

AI offers significant opportunities to enhance human rights monitoring and protection. For example, AI can help to analyse large datasets to detect trends, anticipate crises, and identify violations of fundamental freedoms. Predictive analytics can support human rights foresight, enabling early interventions to prevent conflicts, trafficking, or discrimination.

At the same time, trust in AI for decision-making remains a significant challenge. AI systems trained on biassed or unrepresentative data can produce discriminatory outcomes, undermine privacy and erode public trust.

These risks are especially acute in applications where algorithmic decisions affect access to services or determine individual liberties. That requires governance frameworks that ensure transparency, accountability and ethical oversight.

In the human rights context, trustworthy AI means designing systems that are explainable, auditable and accountable. Human oversight remains essential, particularly in decisions with serious implications for individuals’ rights.

The Summit highlighted the importance of integrating human rights principles such as non-discrimination, equality and procedural fairness into AI development and deployment processes.

Ethics, Accountability and Governance

AI, justice, law,

Aligning technology with human rights necessitates robust ethical frameworks, effective governance, and transparent accountability. Digital systems must uphold fairness, transparency, inclusivity, and human dignity throughout their lifecycle, from design to deployment and ongoing operation.

Human rights impact assessments at the design stage help identify potential risks and guide responsible development. Engaging users and affected communities ensures technologies meet real needs.

Continuous monitoring and audits maintain compliance with ethical standards and highlight areas for improvement.

Effective governance ensures responsibilities are clearly defined, decisions are transparent, and corrective actions can be taken when rights are compromised. By combining ethical principles with robust governance and accountability, technology can actively protect and support human rights.

Future pathways for rights-centred innovation

Image of UN Human Rights Council

The integration of human rights into technology represents a long-term project. Establishing frameworks that embed accountability, transparency and ethical oversight ensures that emerging tools enhance freedom, equality and justice.

Digital transformation, when guided by human rights, creates opportunities to address complex challenges. RightsX 2025 demonstrated that innovation, governance and ethical foresight can converge to shape a digital ecosystem that safeguards human dignity while fostering progress.

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India moves toward mandatory AI royalty regime

India is weighing a sweeping copyright framework that would require AI companies to pay royalties for training on copyrighted works under a mandatory blanket licence branded as the hybrid ‘One Nation, One Licence, One Payment’ model.

A new Copyright Royalties Collective for AI Training, or CRCAT, would collect payments from developers and distribute money to creators. AI firms would have to rely only on lawfully accessed material and file detailed summaries of training datasets, including data types and sources.

The panel is expected to favour flat, revenue-linked percentages on global earnings from commercial AI systems, reviewed roughly every three years and open to legal challenge in court.

Obligations would apply retroactively to AI developers that have already trained profitable models on copyright-protected material, framed by Indian policymakers as a corrective measure for the creative ecosystem.

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India expands job access with AI-powered worker platforms

India is reshaping support for its vast informal workforce through e-Shram, a national database built to connect millions of people to social security and better job prospects.

The database works together with the National Career Service portal, and both systems run on Microsoft Azure.

AI tools are now improving access to stable employment by offering skills analysis, resume generation and personalised career pathways.

The original aim of e-Shram was to create a reliable record of informal workers after the pandemic exposed major gaps in welfare coverage. Engineers had to build a platform capable of registering hundreds of millions of people while safeguarding sensitive data.

Azure’s scalable infrastructure allowed the system to process high transaction volumes and maintain strong security protocols. Support reached remote areas through a network of service centres, helped further by Bhashini, an AI language service offering real-time translation in 22 Indian languages.

More than 310 million workers are now registered and linked to programmes providing accident insurance, medical subsidies and housing assistance. The integration with NCS has opened paths to regulated work, often with health insurance or retirement savings.

Workers receive guidance on improving employability, while new features such as AI chatbots and location-focused job searches aim to help those in smaller cities gain equal access to opportunities.

India is using the combined platforms to plan future labour policies, manage skill development and support international mobility for trained workers.

Officials also hope the digital systems will reduce reliance on job brokers and strengthen safe recruitment, including abroad through links with the eMigrate portal.

The government has already presented the platforms to international partners and is preparing to offer them as digital public infrastructure for other countries seeking similar reforms.

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AI teachers and deepfakes tested to ease UK teacher shortages

Amid a worsening recruitment and retention crisis in UK education, some schools are trialling AI-based teaching solutions, including remote teachers delivered via video links and even proposals for deepfake avatars to give lessons.

These pilots are part of efforts to maintain educational provision where qualified staff are scarce, with proponents arguing that technology can help reduce teacher workload and address gaps in core subjects, such as mathematics.

However, many teachers and unions remain sceptical or critical. Some educators argue that remote or AI-led instruction cannot replace the human presence, interpersonal support and contextual knowledge provided by in-room teachers.

Union activity and petitions opposing virtual teaching arrangements reflect broader concerns about the implications for job security, education quality and the potential de-professionalisation of teaching.

The BBC’s reporting highlighted specific examples, such as a Lancashire secondary school bringing in a remote maths teacher based hundreds of miles away, a move that sparked debate among local teachers who emphasise the irreplaceable role of in-person interaction in effective teaching.

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Seven teams advance in XPRIZE contest backed by Google

XPRIZE has named seven finalist teams in its three-year, $5 million Quantum Applications competition, a global challenge backed by Google Quantum AI, Google.org, and GESDA to accelerate real-world quantum computing use cases.

Selected from 133 submissions, the finalists are developing quantum algorithms that could outperform classical systems on practical tasks linked to sustainability, science, and industry. They will share a $1 million prize at this stage, ahead of a $4 million award pool in 2027.

Google says the competition supports its goal of finding concrete problems where quantum systems can beat leading classical methods. The finalists span materials science, chemistry, optimisation, and biomedical modelling, showing growing momentum behind application-driven research.

The teams include Calbee Quantum, Gibbs Samplers, Phasecraft’s materials group, QuMIT, Xanadu, Q4Proteins, and QuantumForGraphproblem, each proposing algorithms with potential impact ranging from clean-energy materials and advanced semiconductors to drug discovery and molecular analysis.

Finalists now proceed to Phase II, which focuses on benchmarking against classical tools, assessing feasibility, and demonstrating pathways to real-world advantage. A wildcard round in 2026 will offer re-entry for other teams.

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Pinterest’s generative tools showcased in AWS report

AWS has released a new case study showing how Pinterest scaled into an AI-powered discovery platform, emphasising the cloud provider’s role in supporting rapid growth and responsible use of generative tools across the service.

AWS says Pinterest now serves around 600 million users and relies on cloud infrastructure to process large visual datasets. Its systems analyse terabytes of content each day and generate high volumes of personalised suggestions across search, shopping, and inspiration features.

The case study details Pinterest’s move from early machine-learning models to multimodal and generative systems built on AWS. It highlights Canvas for image enhancement, improved visual search, and the conversational Pinterest Assistant.

AWS also points to Pinterest’s use of Amazon EKS, EC2 GPU instances, and Bedrock-powered moderation tools as a full-stack approach to responsible AI. Pinterest states that these systems help maintain a safe and positive environment while supporting new commercial and creative features.

AWS cites recent performance metrics as evidence of effective scaling, noting gains in revenue, user activity, and search quality. The company presents the case study as evidence that cloud-based AI infrastructure can support innovation on a global scale.

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Big Tech boosts India’s AI ambitions amid concerns over talent flight and limited infrastructure

Major announcements from Microsoft ($17.5bn) and Amazon (over $35bn by 2030) have placed India at the centre of global AI investment trends, offering momentum at a time when analysts frame Indian markets as a ‘hedge’ against a potential global AI bubble.

While India has rapidly adopted AI and attracted substantial funding for data centres and chip manufacturing, including a new collaboration between Intel and Tata Electronics, the country remains a follower rather than a frontrunner in sovereign AI capabilities.

India’s government is preparing to launch its first sovereign AI model, which will support more than 22 languages. Yet its $1.25 billion investment is dwarfed by France’s €117 billion and Saudi Arabia’s $100 billion AI programmes, leaving India far behind in compute availability, R&D depth, and semiconductor infrastructure.

Despite having 2.5 times the global average concentration of AI-skilled professionals, the country faces persistent talent flight due to limited high-end domestic opportunities and a lack of competitive policy incentives.

According to EY and UNCTAD, India’ punches above its weight’ relative to its economic stage, ranking among the top nations in AI talent, startup activity, and scientific publications. Still, funding gaps remain stark: Indian AI startups raised just $1.16 billion, compared to more than $100 billion in the US and nearly $10 billion in China.

India’s emerging strength lies less in foundation-model development and more in downstream AI applications, where cost-efficient tools can drive entrepreneurship and solve local challenges such as agriculture, education, and public service delivery. Apps like MahaVISTAAR, reaching over 15 million farmers, illustrate this direction.

Yet AI also poses a threat to India’s economic backbone. Analysts warn that the country’s IT services sector, which has long been a pillar of growth, is becoming increasingly vulnerable as AI automates core business functions. Underperformance in IT stocks, reduced hiring, and stagnant wages signal early disruption.

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Swiss city deepens crypto adoption as 350 businesses now accept Bitcoin

The Swiss city of Lugano has advanced one of Europe’s most ambitious crypto-adoption programmes, with more than 350 shops and restaurants now accepting Bitcoin for everyday purchases, alongside municipal services such as pre-school childcare.

The city has distributed crypto-payment terminals free to local merchants, part of its Plan B initiative, launched in partnership with Tether to position Lugano as a European bitcoin hub.

Merchants cite lower transaction fees compared to credit cards, though adoption remains limited in practice. City officials and advocates envision a future ‘circular economy,’ where residents earn and spend bitcoin locally.

Early real-world tests suggest residents can conduct most daily purchases in Bitcoin, though gaps remain in public transport, fuel and utilities.

Lugano’s strategy comes as other national or city-level cryptocurrency initiatives have struggled. El Salvador’s experiment with making Bitcoin legal tender has seen minimal uptake, while cities such as Ljubljana and Zurich have been more successful in encouraging crypto-friendly ecosystems.

Analysts and academics warn that Lugano faces significant risks, including bitcoin’s volatility, reputational exposure linked to illicit use, and vulnerabilities tied to custodial digital wallets.

Switzerland’s deposit-guarantee protections do not extend to crypto assets, which raises concerns about consumer protection. The mayor, however, dismisses fears of criminal finance, arguing that cash remains far more attractive for illicit transactions.

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UK partners with DeepMind to boost AI innovation

The UK Department for Science, Innovation and Technology (DSIT) has entered a strategic partnership with Google DeepMind to advance AI across public services, research, and security.

The non-legally binding memorandum of understanding outlines a shared commitment to responsible AI development, while enhancing national readiness for transformative technologies.

The collaboration will explore AI solutions for public services, including education, government departments, and the Incubator for AI (i.AI). Google DeepMind may provide engineering support and develop AI tools, including a government-focused version of Gemini aligned with the national curriculum.

Researchers will gain priority access to DeepMind’s AI models, including AlphaEvolve, AlphaGenome, and WeatherNext, with joint initiatives supporting automated R&D and lab facilities in the UK. The partnership seeks to accelerate innovation in strategically important areas such as fusion energy.

AI security will be strengthened through the UK AI Security Institute, which will share model insights, address emerging risks, and enhance national cyber preparedness. The MoU is voluntary, spans 36 months, and ensures compliance with data privacy laws, including UK GDPR.

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