The chief executive of Pinterest has voiced support for governments banning access to social media for people under 16. He cited rising concerns about mental health, screen addiction and online harms among young users.
He praised the Australian decision to ban social media for under-16s and urged other nations to adopt similar protections. He argued that existing tech safety measures have fallen short of keeping children secure online.
The executive warned that AI enhancements in social platforms may amplify behavioural influence on teens. He compared the inaction by tech companies to past resistance by harmful industries to public health safeguards.
He also highlighted surveys showing parental worries about explicit content and excessive screen time. Pinterest’s view supports calls for clear age limits, better tools for parents and stronger platform accountability.
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The system, which analyses medical scans and provides treatment recommendations, was associated with better outcomes compared with standard approaches to stroke care. Researchers said the tool offers a more efficient and scalable method for improving treatment, particularly in resource-constrained healthcare systems.
The findings are based on more than 21,000 patients treated across 77 hospitals in China. Patients supported by the AI-driven clinical decision support system experienced fewer new vascular events, including stroke recurrence, heart attack, or related death, over follow-up periods of up to 12 months.
At three months, new vascular events occurred in 2.9% of patients using the system, compared with 3.9% in those receiving usual care, representing a 26% reduction. The benefit persisted at 12 months, with rates of 4% in the intervention group versus 5.5% in the control group.
Patients receiving AI-supported treatment also showed improved performance on key stroke care quality measures, although no significant differences were observed in disability, mortality, or bleeding outcomes between the groups.
Researchers noted limitations, including the study design, which randomised hospitals rather than individual patients, and potential differences in follow-up care. However, they highlighted the system’s ease of integration into hospital workflows and its potential to strengthen stroke caredelivery and long-term prevention strategies.
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In the UK, the St Helens Council has added AI and digital disruption to its strategic risk register as it seeks to strengthen governance and oversight. The change reflects growing concern about how emerging technologies could affect operations and services.
The updated register, now featuring 12 strategic risks, was presented ahead of the audit and governance committee meeting. UK officials said effective risk management is vital to meeting the council’s objectives and mitigating potential challenges.
AI and digital disruption were cited for the first time alongside risks linked to extreme weather and community cohesion. The council noted that ethical, data privacy and workforce confidence issues are among the challenges associated with integrating AI into public services.
Leaders said other risks, including cybersecurity threats and budget pressures, remain under review. The move comes as local authorities across the UK weigh the impacts of new technologies on service delivery and strategic planning.
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The Scottish government has launched a dedicated national agency to drive AI strategy and support local tech companies. Leaders say this effort could help boost the economy and establish the nation as a hub for AI development.
Scotland’s strategy highlights existing tech firms and data projects, including plans for major computing campuses and partnerships with global technology companies. Several research institutions and supercomputing initiatives are contributing to innovation.
Healthcare is a focus for AI adoption, with studies showing that AI tools could improve cancer detection, speed up diagnoses, and reduce workload. Academic projects also aim to develop tools to detect early signs of dementia.
Scottish government officials have acknowledged ethical, workforce and environmental concerns around AI deployment. They say policies will include responsible use, job planning and efforts to maximise renewable energy in support of data infrastructure.
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Efforts to strengthen technological competitiveness in Europe focus on advancing AI capabilities, developing new forms of talent and improving access to investment.
Discussions at the CTx Tech Experience in Seville highlighted a growing consensus that innovation must scale more effectively if the region is to compete globally.
Participants emphasised that Europe continues to face structural challenges, including fragmented markets, regulatory complexity and limited capital for high-growth companies.
These constraints have made it more difficult for startups to expand, prompting calls for stronger coordination between public institutions and private investors.
AI is increasingly viewed as the foundation of the transformation. Industry leaders pointed to the emergence of new business opportunities driven by AI, alongside the need to translate innovation into scalable commercial outcomes.
At the same time, labour market dynamics are shifting towards hybrid skillsets that combine technical expertise with business understanding and critical thinking.
In such a context, strengthening Europe’s innovation capacity is seen as essential to competing with global powers such as the US and China.
The Trump Administration unveiled a national AI framework to boost competitiveness, security, and benefits for Americans. The plan seeks to ensure that AI innovation supports all citizens while maintaining public trust in the technology.
Six key objectives form the foundation of the policy. These include protecting children online, empowering parents with tools to manage digital safety, strengthening communities and small businesses, respecting intellectual property, defending free speech, and fostering innovation.
The framework also prioritises workforce development to prepare Americans for AI-driven job opportunities.
Federal uniformity is considered critical to the plan’s success. The Administration warns that a patchwork of state regulations could stifle innovation and reduce the United States’ ability to lead globally.
Congress is encouraged to collaborate closely to implement the framework nationwide.
The Administration emphasises that the United States must lead the AI race, ensuring the benefits of AI reach all Americans while addressing challenges such as privacy, security, and equitable access to opportunities.
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Elon Musk unveiled his ambitious Terafab project in Austin, describing it as the ‘most epic chip-building exercise in history.’ The initiative, led by Tesla, xAI, and SpaceX, aims to produce 1 trillion watts of compute power annually, much of it intended for space applications.
The project will start with a state-of-the-art semiconductor manufacturing facility in Austin, supporting AI development, humanoid robotics, and space data centres. Musk highlighted current supply chain limitations, stating that building Terafab is essential to secure the chips his companies need.
Musk also shared his vision for a future shaped by ‘amazing abundance.’ Plans include launching satellites from the lunar surface and enabling civilian space travel to destinations such as Saturn, blending cutting-edge technology with long-term space ambitions.
Terafab represents a bold attempt to merge AI, robotics, and space exploration, positioning Musk’s companies at the forefront of next-generation technology and extraterrestrial innovation.
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Members of the European Parliament are calling for more rapid progress in implementing the bloc’s digital competition framework, with particular focus on the Digital Markets Act.
In a recent resolution, lawmakers urged the European Commission to ensure timely and effective enforcement of the rules designed to regulate large online platforms. The legislation aims to address concerns around market dominance and promote fair competition across the digital economy.
The discussions reflect ongoing concerns that delays in enforcement could undermine the framework’s effectiveness, particularly as major technology companies continue to expand their influence. Platforms such as Google, Apple and Meta are among those expected to comply with the new obligations.
At the same time, policymakers are balancing regulatory oversight with the need to maintain innovation and competitiveness. The debate forms part of a broader effort in the EU to strengthen digital governance and reinforce the region’s position in global technology markets.
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A growing number of individuals worldwide are participating in a new digital economy built around supplying data for AI systems.
Through platforms such as Kled AI and Silencio, users upload videos, audio recordings and personal interactions in exchange for payment, contributing to the development of increasingly sophisticated AI models.
Such a trend reflects a broader shift in the AI industry, where demand for high-quality human-generated data is rising as traditional web-based sources become more limited.
Researchers suggest that human data remains essential for improving system performance and modelling behaviour beyond existing datasets. As a result, data marketplaces have emerged as an alternative supply mechanism.
Economic considerations often shape participation. In regions facing limited employment opportunities or currency instability, earning income in global currencies can provide a meaningful financial incentive.
At the same time, similar practices are expanding in higher-income countries, where individuals seek supplementary income streams amid rising living costs.
However, the model introduces complex trade-offs.
Contributors may grant extensive usage rights over their data, sometimes on a long-term or irreversible basis. Experts note that such arrangements can reduce control over how personal information is reused, including in contexts not initially anticipated.
Concerns also extend to issues such as data security, transparency and the potential for misuse in areas including synthetic media and identity replication.
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AI is increasingly taking over the early stages of hiring, with 89% of UK recruiters planning to use it more in the recruitment process this year.
For graduates like Bhuvana Chilukuri, a third-year business student at Queen Mary University London who has applied for over 100 roles without a single offer, this means facing automatic CV screening and AI video interviews, with some rejections arriving in under two minutes.
The scale of the problem is significant on both sides. Denis Machuel, CEO of Adecco, one of the world’s largest recruitment specialists, noted that candidates now need to send an average of 200 applications to receive a single job offer.
Meanwhile, firms like law firm Mishcon de Reya received 5,000 applications for just 35 roles in its last hiring round, a volume driven in part by candidates using AI to write and mass-submit applications, prompting employers to deploy AI to filter them out.
Supporters of AI hiring tools argue they can reduce human bias and deliver more consistent decisions. But critics warn the process strips candidates of their personality and humanity, with applicants describing feeling ‘robotic’ and ‘monotone’ while recording answers into a screen with no human interaction.
Machuel acknowledged the tension, calling for AI and human judgement to be combined at the right moments in the process, arguing that balance is the only way to break what he described as a growing ‘arms race.’
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