The US tech company Oracle has introduced a new AI platform to predict safety risks across construction projects.
A system called Advisor for Safety that aims to shift industry practices from reactive incident response to predictive risk prevention.
The AI model was trained using safety information equivalent to more than 10,000 project-years across multiple project types and locations.
By analysing historical patterns, the platform generates weekly forecasts that identify projects statistically most likely to experience safety incidents.
The solution also integrates structured safety observation tools through systems such as Oracle Aconex and Oracle Primavera Unifier, allowing field teams to collect consistent data on mobile devices or web platforms.
These inputs improve predictive accuracy while enabling organisations to track potential hazards earlier in the project lifecycle.
According to Oracle, the system combines data streams ranging from incident reports and payroll records to project schedules and operational metrics.
Early adopters reportedly reduced workplace incidents by up to 50 percent and workers’ compensation costs by as much as 75 percent during the first year of use.
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A new study introduces observed exposure, a measure that combines theoretical AI capability and real-world use to estimate which jobs are most susceptible to automation. Tasks performed by LLMs and actively automated at work receive higher exposure scores.
Computer programmers, customer service representatives, and financial analysts rank among the most exposed occupations.
The analysis finds that AI is far from reaching its full potential, with many tasks still beyond current capabilities. Occupations with higher observed exposure tend to grow more slowly, and workers in these roles are more likely to be older, female, highly educated, and earn higher wages.
Early evidence suggests that the hiring of younger workers aged 22-25 may be slowing in highly exposed occupations. While these effects are small, they may indicate initial labour market adjustments as AI tools become more integrated into workplace tasks.
Researchers emphasise that observed exposure provides a framework for tracking AI’s economic impact over time, helping policymakers and businesses identify potential vulnerabilities.
The study underscores the gap between AI’s theoretical capabilities and actual usage, highlighting the importance of monitoring adoption patterns. The framework uses task automation and job data to track AI’s impact on the workforce.
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Meta is facing a new lawsuit in the US over privacy concerns tied to its AI smart glasses.
The legal complaint follows investigative reporting indicating that contractors working for a Kenya-based subcontractor reviewed footage captured by users’ devices, including sensitive personal scenes.
The lawsuit alleges that some of the reviewed material included nudity and other intimate activities recorded by the glasses’ cameras.
According to the complaint, the footage formed part of a data review process designed to improve the AI system integrated into the wearable device.
Plaintiffs claim Meta marketed the product as prioritising user privacy, citing advertisements suggesting that the glasses were ‘designed for privacy’ and that users remained in control of their personal data.
The complaint argues that such messaging could mislead consumers if the footage were subject to human review without clear disclosure.
A legal action that also names eyewear manufacturer Luxottica, which partnered with Meta to produce the glasses.
Meanwhile, the UK’s Information Commissioner’s Office has begun examining the issue after reports that face-blurring safeguards may not have consistently protected individuals captured in the recordings.
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Experts gathered in London, UK, to examine how the concept of privacy has evolved over centuries. Discussions in London, UK, highlighted that privacy was only widely recognised as a legal and social norm after the Second World War.
Speakers in London noted that earlier societies often viewed privacy with suspicion or did not recognise it at all. Historical examples discussed included practices from Roman society and the French monarchy.
Modern legal protections expanded rapidly in recent decades, with privacy laws now covering about 80 percent of the global population. Scholars said the concept remains relatively new despite its central role in modern democracies.
The debate also explored whether privacy will remain a stable social value as technology evolves. Analysts in London said emerging technologies such as AI are reshaping debates over personal data and surveillance.
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Meta has announced that third-party AI chatbots will again be allowed to operate through WhatsApp in Europe, reversing restrictions introduced earlier this year.
The decision follows pressure from the European Commission, which had warned it could impose interim competition measures.
Earlier in 2026, Meta limited access to rival chatbot services on the messaging platform, prompting regulators to examine whether the move unfairly restricted competition in the rapidly expanding AI market.
WhatsApp remains one of the most widely used messaging applications across European countries, making platform access critical for emerging AI services.
Under the new arrangement, companies will be able to distribute general-purpose AI chatbots via the WhatsApp Business API for 12 months.
The change is intended to give European regulators time to complete their investigation while allowing competing AI services to operate within the platform ecosystem.
Meta has also indicated that businesses offering chatbots through WhatsApp will be required to pay fees to access the system.
The European Commission is now assessing whether these adjustments sufficiently address competition concerns surrounding the integration of AI services inside major digital platforms.
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Pressure is growing in New Zealand to strengthen the Privacy Act following several high-profile data breaches. Debate in New Zealand intensified after a cyberattack exposed medical records from the Manage My Health patient portal.
The breach in New Zealand affected about 120,000 patients and involved threats to release documents on the dark web. Another incident forced the MediMap medication platform offline after unauthorised changes were detected in patient records.
Privacy specialists argue that current enforcement powers are too weak to deter serious failures. The Privacy Act allows only limited financial penalties, with fines generally capped at NZD10,000.
Officials are now considering reforms, including stronger penalties for privacy violations. Policymakers also warn that failure to strengthen the law could threaten the country’s EU data adequacy status.
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The European Commission has convened a new expert panel tasked with examining how children can be better protected across digital platforms, including social media, gaming environments and AI tools.
The initiative reflects growing concern across Europe regarding the psychological and safety risks associated with young users’ online behaviour.
Specialists from health, computer science, child rights and digital literacy will work alongside youth representatives to assess current research and policy responses.
Discussions during the first meeting centred on platform responsibility, including age-appropriate safety-by-design features, algorithmic amplification and addictive product design.
An initiative that also addresses digital literacy for children, parents and educators, while considering how regulatory measures can reduce risks without undermining the benefits of online participation.
The panel’s work complements the enforcement of the Digital Services Act and related European policies designed to strengthen protections for minors online.
Among the tools under development is an EU age-verification application currently tested in several member states, intended to support privacy-preserving checks compatible with the future EU digital identity framework.
The panel is expected to deliver policy recommendations to the Commission by summer 2026.
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AI is beginning to reshape corporate strategy as organisations shift from isolated technology experiments to broader operational transformation.
According to OpenAI, businesses that treat AI as a collection of disconnected pilots risk missing the bigger structural change that the technology enables.
A new framework describes five value models through which AI can gradually reshape companies. The first stage focuses on workforce empowerment, where tools such as ChatGPT spread AI capabilities across teams and improve everyday productivity.
Once employees develop fluency, organisations can introduce AI-native distribution models that transform how customers discover products and interact with digital services.
More advanced stages involve specialised systems. Expert capability integrates AI into research, creative production, and domain-specific analysis, allowing professionals to explore a wider range of ideas and experiments.
Meanwhile, systems and dependency management introduce AI tools capable of safely updating interconnected digital environments, including codebases, documentation, and operational processes.
The final stage involves full process re-engineering through autonomous agents. In such environments, AI systems coordinate complex workflows across departments while maintaining governance, accountability, and auditability.
Organisations that successfully progress through these stages may eventually redesign their business models rather than merely improving efficiency within existing structures.
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The Google Threat Intelligence Group (GTIG) has identified a powerful exploit toolkit, Coruna, that targets Apple iPhones running iOS versions 13.0 to 17.2.1.
The toolkit contains five complete exploit chains and 23 exploits designed to compromise devices using previously unseen techniques and mitigation bypasses.
Parts of the exploit chain were first detected in early 2025, when a client of a commercial surveillance vendor used them. Later investigations revealed the same framework in highly targeted attacks against Ukrainian users linked to a suspected Russian espionage group.
Toward the end of the year, the toolkit resurfaced in large-scale campaigns linked to financially motivated actors operating from China.
Coruna relies on a sophisticated JavaScript framework that identifies iPhone models and their iOS versions before delivering the appropriate WebKit remote code execution exploit and additional bypass techniques.
Several vulnerabilities exploited by the toolkit had previously been treated as zero-day flaws, highlighting the growing circulation of advanced cyber-attack tools among multiple threat actors.
Google warned that the payload can steal sensitive data, including financial and cryptocurrency wallet information, and allows attackers to deploy additional modules remotely.
The company has added related malicious domains to Safe Browsing and urged users to install the latest iOS updates, noting that the exploit kit does not affect the newest version of Apple’s operating system.
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The European Union’s data protection watchdog has urged stronger safeguards as negotiations continue with the US over access to biometric databases. European Data Protection Supervisor Wojciech Wiewiórowski said limits must ensure Europeans’ data is used only for agreed purposes.
Talks between the EU and the US involve potential arrangements that would allow US authorities to query national biometric systems. Databases across the EU contain sensitive information, including fingerprints and facial recognition data.
Past transatlantic data-sharing agreements between the two have faced legal challenges due to insufficient safeguards. European regulators are closely monitoring the Data Privacy Framework amid ongoing concerns about oversight.
Officials also warned that emerging AI technologies could create new surveillance risks linked to US data access. European authorities said they must negotiate as a unified bloc when dealing with the US.
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