Concerns are growing as European countries expand the use of AI in healthcare without establishing sufficient protections for patients or healthcare workers.
A new World Health Organisation report found significant disparities in how nations develop, regulate and fund AI tools.
Some countries are rapidly deploying chatbots, imaging systems and data-analysis tools, while others have barely started integrating AI into their health services. Only four nations across Europe and Central Asia currently have a national strategy dedicated to AI in health care.
WHO officials warn that weak safeguards could lead to biassed algorithms, medical errors and increased inequality in access to care.
The report urges governments to strengthen legal frameworks, train health workers in AI literacy and ensure these technologies are rigorously tested before reaching patients.
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Google CEO Sundar Pichai advises people not to unquestioningly trust AI tools, warning that current models remain prone to errors. He told the BBC that users should rely on a broader information ecosystem rather than treat AI as a single source of truth.
Pichai said generative systems can produce inaccuracies and stressed that people must learn what the tools are good at. The remarks follow criticism of Google’s own AI Overviews feature, which attracted attention for erratic and misleading responses during its rollout.
Experts say the risk grows when users depend on chatbots for health, science, or news. BBC research found major AI assistants misrepresented news stories in nearly half of the tests this year, underscoring concerns about factual reliability and the limits of current models.
Google is launching Gemini 3.0, which it claims offers stronger multimodal understanding and reasoning. The company says its new AI Mode in search marks a shift in how users interact with online information, as it seeks to defend market share against ChatGPT and other rivals.
Pichai says Google is increasing its investment in AI security and releasing tools to detect AI-generated images. He maintains that no single company should control such powerful technology and argues that the industry remains far from a scenario in which one firm dominates AI development.
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SAP has announced new partnerships with Bleu, Capgemini, and Mistral AI to advance Europe’s digital sovereignty. The collaboration combines SAP’s expertise in enterprise software with France’s AI ecosystem to develop secure, scalable, and sovereign cloud solutions for governments and regulated sectors.
Bleu and Delos Cloud have established a Franco-German alliance focused on crisis resilience, creating joint capabilities for early detection, analysis, and remediation of cyber incidents. Their cooperation supports rapid response in extreme scenarios and reinforces control over critical infrastructure.
SAP and Capgemini are expanding their partnership to advance sovereign agentic AI and strengthen cybersecurity across Europe. Their new Sovereign Technology Partnership will deliver data management, cloud services, and automation tools for public and regulated sectors.
SAP and Mistral AI are also deepening their collaboration to create Europe’s first full sovereign AI stack. SAP will offer Mistral’s frontier models through its sovereign AI foundation on SAP BTP, while both companies co-develop industry-specific AI applications designed for engineering and R&D workloads.
These partnerships form part of SAP’s broader sovereign cloud strategy, backed by more than €20bn in investment. SAP states that its aim is to provide a secure, compliant, and locally controlled infrastructure that enables innovation while safeguarding European data, assets, and long-term technological independence.
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A new WHO Europe report warns that AI is advancing faster than health policies can keep up, risking wider inequalities without stronger safeguards. AI already helps doctors with diagnostics, reduces paperwork and improves patient communication, yet significant structural safeguards remain incomplete.
The assessment, covering 50 participating countries across the region, shows that governments acknowledge AI’s transformative potential in personalised medicine, disease surveillance and clinical efficiency. Only a small number, however, have established national strategies.
Estonia, Finland and Spain stand out for early adoption- whether through integrated digital records, AI training programmes or pilots in primary care- but most nations face mounting regulatory gaps.
Legal uncertainty remains the most common obstacle, with 86 percent of countries citing unclear rules as the primary barrier to adoption, followed by financial constraints. Fewer than 10 percent have liability standards defining responsibility when AI-driven decisions cause harm.
WHO urged governments to align AI policy with public health goals, strengthen legal and ethical frameworks, improve cross-border data governance and invest in an AI-literate workforce to ensure patients stay at the centre of the transformation.
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Alphabet CEO Sundar Pichai recently warned people against having total confidence in artificial intelligence tools. Speaking to the BBC, the head of Google’s parent company stressed that current state-of-the-art AI technology remains ‘prone to errors’ and must be used judiciously alongside other resources.
The executive also addressed wider concerns about a potential ‘AI bubble’ following increased tech valuations and spending across the sector. Pichai stated he believes no corporation, including Google, would be completely safe if such an investment surge were to collapse. He compared the current environment to the early internet boom, suggesting the profound impact of AI will nonetheless remain.
Simultaneously, the largest bank in the US, JPMorgan Chase, is sounding an alarm over market instability. Jamie Dimon, the bank’s chair and chief executive, expressed significant worry over a severe US stock market correction, predicting it could materialise within the next six months to two years. Concerns over the geopolitical climate, expansive fiscal spending, and worldwide remilitarisation are adding to this atmosphere of economic uncertainty.
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A growing debate over AI dominated COP30 in Brazil, as delegates weighed its capacity to support climate solutions against its rapidly rising environmental costs.
Technology leaders argued that AI can strengthen energy management, refine climate research and enhance conservation programmes.
Participants highlighted an expanding number of AI-driven tools showcased at the summit, reflecting both enthusiasm and caution about their long-term influence.
Several countries noted that AI systems could help smaller delegations review complex negotiation documents and take part more effectively.
Environmental advocates warned that ballooning electricity use and water demand from data centres risk undermining climate targets.
Campaigners pressed for tighter rules, including mandatory public-interest testing for new facilities and reliance on on-site renewable energy.
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SAP and UNESCO have agreed to deploy the AI-supported disaster management system EDiSON in the Solomon Islands.
The platform, created by SAP Japan and the start-up INSPIRATION PLUS, utilises the SAP Business Technology Platform with machine learning to merge real-time meteorological information with historical records, rather than relying on isolated datasets.
A system that delivers predictive insights that help authorities act before severe weather strikes. It anticipates terrain damage, guides emergency services towards threatened areas and supports decisions on evacuation orders.
The initiative aims to serve as a model for other small island states facing similar climate-related pressures.
UNESCO officials say the project strengthens early warning capacity and encourages long-term resilience. EDiSON will become operational in 2026 and aims to offer a scalable approach for nations with limited technical resources.
Its performance in Japan has already demonstrated how integrated data management can overcome fragmented information flows and restricted analytical tools.
The design of EDiSON enables governments to adopt advanced disaster preparedness systems instead of relying on costly, bespoke infrastructure. A partnership that seeks to improve national readiness in the Solomon Islands, where earthquakes, tsunamis, cyclones and floods regularly threaten communities.
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Meta has defeated a major antitrust challenge after a US federal judge ruled it does not currently hold monopoly power in social networking. The decision spares the company from being forced to separate Instagram and WhatsApp, which regulators had argued were acquired to suppress competition.
The judge found the Federal Trade Commission failed to prove Meta maintains present-day dominance, noting that the market has been reshaped by rivals such as TikTok. Meta argued it now faces intense competition across mobile platforms as user behaviour shifts rapidly.
FTC lawyers revisited internal emails linked to Meta’s past acquisitions, but the ruling emphasised that the case required proof of ongoing violations.
Analysts say the outcome contrasts sharply with recent decisions against Google in search and advertising, signalling mixed fortunes for large tech firms.
Industry observers note that Meta still faces substantial regulatory pressure, including upcoming US trials regarding children’s mental health and questions about its heavyinvestment in AI.
The company welcomed the ruling and stated that it intends to continue developing products within a competitive market framework.
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UK scientists are launching a three-year initiative to use AI in the fight against drug-resistant infections, a growing threat to public health.
The project, backed by £45 million from GSK and coordinated with the Fleming Initiative, aims to develop new tools against pathogens that currently evade treatment.
Researchers will focus on priority bacteria and fungi identified by the World Health Organisation, including E. coli, Klebsiella pneumoniae, MRSA and Aspergillus.
These AI models will be utilised to design antibiotics and enhance the understanding of immune responses, with data shared globally to expedite drug development.
Experts warn that antimicrobial resistance could claim millions of lives by 2050 if new solutions are not found. The initiative reflects an urgent need to pool scientific expertise and technology to create next-generation treatments and vaccines for resistant infections.
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A University of Arizona astronomer, Peter Behroozi, has developed a novel technique to make AI systems more trustworthy by enabling them to quantify when they might be wrong.
Behroozi’s method adapts ray tracing, traditionally used in computer graphics, to explore the high-dimensional spaces in which AI models operate, thereby allowing the system to gauge uncertainty more effectively.
He uses a Bayesian-sampling approach: rather than relying on a single model, the system effectively consults a ‘whole range of experts’ by training many models in parallel and observing the diversity of their outputs.
This advance addresses a critical problem in modern AI: ‘wrong-but-confident’ outputs, situations where a model gives a single, confident answer that may be incorrect. According to Behroozi, his technique is orders of magnitude faster than traditional uncertainty-quantification methods, making it practical even for extensive neural networks.
The implications are broad, extending from healthcare to finance to autonomous systems: AI that knows its own limits could reduce risk and increase reliability. Behroozi hopes his code, now publicly available, will be adopted by other researchers working under high-stakes conditions.
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