Development

New ETSI standard defines cybersecurity rules for AI systems

ETSI has released ETSI EN 304 223, a new European Standard establishing baseline cybersecurity requirements for AI systems.

Approved by national standards bodies, the framework becomes the first globally applicable EN focused specifically on securing AI, extending its relevance beyond European markets.

The standard recognises that AI introduces security risks not found in traditional software. Threats such as data poisoning, indirect prompt injection and vulnerabilities linked to complex data management demand tailored defences instead of conventional approaches alone.

ETSI EN 304 223 combines established cybersecurity practices with targeted measures designed for the distinctive characteristics of AI models and systems.

Adopting a full lifecycle perspective, the ETSI framework defines thirteen principles across secure design, development, deployment, maintenance and end of life.

Alignment with internationally recognised AI lifecycle models supports interoperability and consistent implementation across existing regulatory and technical ecosystems.

ETSI EN 304 223 is intended for organisations across the AI supply chain, including vendors, integrators and operators, and covers systems based on deep neural networks, including generative AI.

Further guidance is expected through ETSI TR 104 159, which will focus on generative AI risks such as deepfakes, misinformation, confidentiality concerns and intellectual property protection.

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AI-generated song removed from Swedish rankings

Sweden has removed a chart-topping song from its official rankings after ruling it was mainly created using AI. The track had attracted millions of streams on Spotify within weeks.

Industry investigators found no public profile for the artist, later linking the song to executives at a music firm using AI tools. Producers insisted that technology merely assisted a human-led creative process.

Music organisations say AI-generated tracks threaten existing industry rules and creator revenues. The decision intensifies debate over how to regulate AI in cultural markets.

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AI technology aim to detect emotional distress and depression sooner

A University of Auckland researcher is developing AI tools to identify early signs of depression in young men. The work focuses on using physiological and behavioural data to offer personalised, early-stage mental health support.

Led by bioengineering researcher Kunal Gupta, the research uses data from devices such as smart watches to detect stress or low mood early. The approach aims to complement existing mental health services rather than replace professional care.

One project, Tōku Hoa, uses an AI-powered virtual companion that responds to biological signals and daily behaviour to encourage small, practical actions. The system is designed to help users recognise patterns in mood and stress over time.

With clinical and community testing planned, the research highlights the potential of adaptive AI systems to provide earlier, more personalised mental health support for young men who are often reluctant to seek help.

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How autonomous vehicles shape physical AI trust

Physical AI is increasingly embedded in public and domestic environments, from self-driving vehicles to delivery robots and household automation. As intelligent machines begin to operate alongside people in shared spaces, trust emerges as a central condition for adoption instead of technological novelty alone.

Autonomous vehicles provide the clearest illustration of how trust must be earned through openness, accountability, and continuous engagement.

Self-driving systems address long-standing challenges such as road safety, congestion, and unequal access to mobility by relying on constant perception, rule-based behaviour, and fatigue-free operation.

Trials and early deployments suggest meaningful improvements in safety and efficiency, yet public confidence remains uneven. Social acceptance depends not only on performance outcomes but also on whether communities understand how systems behave and why specific decisions occur.

Dialogue plays a critical role at two levels. Ongoing communication among policymakers, developers, emergency services, and civil society helps align technical deployment with social priorities such as safety, accessibility, and environmental impact.

At the same time, advances in explainable AI allow machines to communicate intent and reasoning directly to users, replacing opacity with interpretability and predictability.

The experience of autonomous vehicles suggests a broader framework for physical AI governance centred on demonstrable public value, transparent performance data, and systems capable of explaining behaviour in human terms.

As physical AI expands into infrastructure, healthcare, and domestic care, trust will depend on sustained dialogue and responsible design rather than the speed of deployment alone.

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Verizon responds to major network outage

A large-scale network disruption has been confirmed by Verizon, affecting wireless voice, messaging, and mobile data services and leaving many customer devices operating in SOS mode across several regions.

The company acknowledged service interruptions during Wednesday afternoon and evening, while emergency calling capabilities remained available.

Additionally, the telecom provider issued multiple statements apologising for the disruption and pledged to provide account credits to impacted customers. Engineering teams were deployed throughout the incident, with service gradually restored later in the day.

Verizon advised users still experiencing connectivity problems to restart their devices once normal operations resumed.

Despite repeated updates, the company has not disclosed the underlying cause of the outage. Independent outage-tracking platforms described the incident as a severe breakdown in cellular connectivity, with most reports citing complete signal loss and mobile phone failures.

Verizon stated that further updates would be shared following internal reviews, while rival mobile networks reported no comparable disruptions during the same period.

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TikTok faces perilous legal challenge over child safety concerns

British parents suing TikTok over the deaths of their children have called for greater accountability from the platform, as the case begins hearings in the United States. One of the claimants said social media companies must be held accountable for the content shown to young users.

Ellen Roome, whose son died in 2022, said the lawsuit is about understanding what children were exposed to online.

The legal filing claims the deaths were a foreseeable result of TikTok’s design choices, which allegedly prioritised engagement over safety. TikTok has said it prohibits content that encourages dangerous behaviour.

Roome is also campaigning for proposed legislation that would allow parents to access their children’s social media accounts after a death. She said the aim is to gain clarity and prevent similar tragedies.

TikTok said it removes most harmful content before it is reported and expressed sympathy for the families. The company is seeking to dismiss the case, arguing that the US court lacks jurisdiction.

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Samsara turns operational data into real-world impact

Samsara has built a platform that helps companies with physical operations run more safely and efficiently. Founded in 2015 by MIT alumni John Bicket and Sanjit Biswas, the company connects workers, vehicles, and equipment through cloud-based analytics.

The platform combines sensors, AI cameras, GPS tracking, and real-time alerts to cut accidents, fuel use, and maintenance costs. Large companies across logistics, construction, manufacturing, and energy report cost savings and improved safety after adopting the system.

Samsara turns large volumes of operational data into actionable insights for frontline workers and managers. Tools like driver coaching, predictive maintenance, and route optimisation reduce risk at scale while recognising high-performing field workers.

The company is expanding its use of AI to manage weather risk, support sustainability, and enable the adoption of electric fleets. They position data-driven decision-making as central to modernising critical infrastructure worldwide.

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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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Sadiq Khan voices strong concerns over AI job impact

London Mayor Sir Sadiq Khan has warned that AI could become a ‘weapon of mass destruction of jobs‘ if its impact is not managed correctly. He said urgent action is needed to prevent large-scale unemployment.

Speaking at Mansion House in the UK capital, Khan said London is particularly exposed due to the concentration of finance, professional services, and creative industries. He described the potential impact on jobs as ‘colossal’.

Khan said AI could improve public services and help tackle challenges such as cancer care and climate change. At the same time, he warned that reckless use could increase inequality and concentrate wealth and power.

Polling by City Hall suggests more than half of London workers expect AI to affect their jobs within a year. Sadiq Khan said entry-level roles may disappear fastest, limiting opportunities for young people.

The mayor announced a new task force to assess how Londoners can be supported through the transition. His office will also commission free AI training for residents.

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AI becomes the starting point for everyday online tasks

Consumers across the US are increasingly starting everyday digital tasks with AI, rather than search engines or individual apps, according to new research tracking changes in online behaviour.

Dedicated AI platforms are becoming the first place where intent is expressed, whether users are planning travel, comparing products, seeking advice on purchases and managing budgets.

Research shows more than 60% of US adults used a standalone AI platform last year, with younger generations especially likely to begin personal tasks through conversational tools rather than traditional search.

Businesses face growing pressure to adapt as AI reshapes how decisions begin, encouraging companies to rethink marketing, commerce and customer journeys around dialogue rather than clicks.

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