Sustainable development

New guidelines by Apple curb how apps send user data to external AI systems

Apple has updated its App Review Guidelines to require developers to disclose and obtain permission before sharing personal data with third-party AI systems. The company says the change enhances user control as AI features become more prevalent across apps.

The revision arrives ahead of Apple’s planned 2026 release of an AI-enhanced Siri, expected to take actions across apps and rely partly on Google’s Gemini technology. Apple is also moving to ensure external developers do not pass personal data to AI providers without explicit consent.

Previously, rule 5.1.2(i) already limited the sharing of personal information without permission. The update adds explicit language naming third-party AI as a category that requires disclosure, reflecting growing scrutiny of how apps use machine learning and generative models.

The shift could affect developers who use external AI systems for features such as personalisation or content generation. Enforcement details remain unclear, as the term ‘AI’ encompasses a broad range of technologies beyond large language models.

Apple released several other guideline updates alongside the AI change, including support for its new Mini Apps Programme and amendments involving creator tools, loan products, and regulated services such as crypto exchanges.

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Ohanian predicts AI-driven jobs growth despite economic jitters

Reddit co-founder Alexis Ohanian says AI remains a durable long-term trend despite growing investor concern that the sector has inflated a market bubble. He argues the technology is now too deeply embedded in workflows to be dismissed as hype.

Tech stocks fell sharply on Thursday as uncertainty over US interest rate cuts prompted investors to seek safer assets. The Nasdaq Composite slid more than two percent, and the AI-driven Magnificent Seven posted broad losses, with Nvidia among the hardest-hit names.

Ohanian says valuations are not his focus but insists the underlying innovations are meaningful, pointing to faster software development as an example of measurable progress. He maintains confidence in technology trends even amid short-term market swings.

He also believes AI will create more roles than it eliminates, despite estimates that widespread adoption could disrupt up to seven percent of the US workforce. He argues that major technological shifts consistently open new career paths.

Ohanian notes that jobs once unimaginable, such as full-time online content creation, are now mainstream aspirations. He expects AI-led change to follow a similar pattern, delivering overall gains while acknowledging that the transition may be uneven.

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Firefox expands AI features with full user choice

Mozilla has outlined its vision for integrating AI into Firefox in a way that protects user choice instead of limiting it. The company argues that AI should be built like the open web, allowing people and developers to use tools on their own terms rather than being pushed into a single ecosystem.

Recent features such as the AI sidebar chatbot and Shake to Summarise on iOS reflect that approach.

The next step is an ‘AI Window’, a controlled space inside Firefox that lets users chat with an AI assistant while browsing. The feature is entirely optional, offers full control, and can be switched off at any time. Mozilla has opened a waitlist so users can test the feature early and help shape its development.

Mozilla believes browsers must adapt as AI becomes a more common interface to the web. The company argues that remaining independent allows it to prioritise transparency, accountability and user agency instead of the closed models promoted by competitors.

The goal is an assistant that enhances browsing and guides users outward to the wider internet rather than trapping them in isolated conversations.

Community involvement remains central to Mozilla’s work. The organisation is encouraging developers and users to contribute ideas and support open-source projects as it works to ensure Firefox stays fast, secure and private while embracing helpful forms of AI.

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Purdue and Google collaborate to advance AI research and education

Purdue University and Google are expanding their partnership to integrate AI into education and research, preparing the next generation of leaders while advancing technological innovation.

The collaboration was highlighted at the AI Frontiers summit in Indianapolis on 13 November. The event brought together university, industry, and government leaders to explore AI’s impact across sectors such as health care, manufacturing, agriculture, and national security.

Leaders from both organisations emphasised the importance of placing AI tools in the hands of students, faculty, and staff. Purdue plans a working AI competency requirement for incoming students in fall 2026, ensuring all graduates gain practical experience with AI tools, pending Board approval.

The partnership also builds on projects such as analysing data to improve road safety.

Purdue’s Institute for Physical Artificial Intelligence (IPAI), the nation’s first institute dedicated to AI in the physical world, plays a central role in the collaboration. The initiative focuses on physical AI, quantum science, semiconductors, and computing to equip students for AI-driven industries.

Google and Purdue emphasised responsible innovation and workforce development as critical goals of the partnership.

Industry leaders, including Waymo, Google Public Sector, and US Senator Todd Young, discussed how AI technologies like autonomous drones and smart medical devices are transforming key sectors.

The partnership demonstrates the potential of public-private collaboration to accelerate AI research and prepare students for the future of work.

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Stanford’s new AI model boosts liver transplant efficiency

A new machine learning model has been developed by Stanford Medicine researchers to make liver transplants more efficient. It predicts whether a donor will die within the time frame necessary for organ viability.

Donation after circulatory death requires that the donor pass within 30 to 45 minutes after life support removal; otherwise, surgeons often reject the liver due to increased risks for recipients. The model reduced futile procurements by 60%, outperforming surgeons’ predictions.

The algorithm analyses a wide range of donor data, including vital signs, blood work, neurological reflexes, and ventilator settings. The model was trained on over 2,000 cases from six US transplant centres and can be customised for hospital procedures and surgeon preferences.

The model also features a natural language interface that extracts relevant medical record information, streamlining the transplant workflow.

Donation after circulatory death is becoming increasingly important as it helps narrow the gap between organ demand and availability. Normothermic machine perfusion devices preserve organs during transport, making such donations more feasible.

Researchers hope the model will also be adapted for heart and lung transplants, further expanding its potential to save lives.

Stanford researchers stress that better predictions could help more patients receive life-saving transplants. Ongoing refinements aim to decrease missed opportunities from just over 15% to around 10%, enhancing efficiency and patient outcomes in organ transplantation.

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CERN unveils AI strategy to advance research and operations

CERN has approved a comprehensive AI strategy to guide its use across research, operations, and administration. The strategy unites initiatives under a coherent framework to promote responsible and impactful AI for science and operational excellence.

It focuses on four main goals: accelerating scientific discovery, improving productivity and reliability, attracting and developing talent, and enabling AI at scale through strategic partnerships with industry and member states.

Common tools and shared experiences across sectors will strengthen CERN’s community and ensure effective deployment.

Implementation will involve prioritised plans and collaboration with EU programmes, industry, and member states to build capacity, secure funding, and expand infrastructure. Applications of AI will support high-energy physics experiments, future accelerators, detectors, and data-driven decision-making.

AI is now central to CERN’s mission, transforming research methodologies and operations. From intelligent automation to scalable computational insight, the technology is no longer optional but a strategic imperative for the organisation.

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Agentic AI drives a new identity security crisis

New research from Rubrik Zero Labs warns that agentic AI is reshaping the identity landscape faster than organisations can secure it.

The study reveals a surge in non-human identities created through automation and API driven workflows, with numbers now exceeding human users by a striking margin.

Most firms have already introduced AI agents into their identity systems or plan to do so, yet many struggle to govern the growing volume of machine credentials.

Experts argue that identity has become the primary attack surface as remote work, cloud adoption and AI expansion remove traditional boundaries. Threat actors increasingly rely on valid credentials instead of technical exploits, which makes weaknesses in identity governance far more damaging.

Rubrik’s researchers and external analysts agree that a single compromised key or forgotten agent account can provide broad access to sensitive environments.

Industry specialists highlight that agentic AI disrupts established IAM practices by blurring distinctions between human and machine activity.

Organisations often cannot determine whether a human or an automated agent performed a critical action, which undermines incident investigations and weakens zero-trust strategies. Poor logging, weak lifecycle controls and abandoned machine identities further expand the attack surface.

Rubrik argues that identity resilience is becoming essential, since IAM tools alone cannot restore trust after a breach. Many firms have already switched IAM providers, reflecting widespread dissatisfaction with current safeguards.

Analysts recommend tighter control of agent creation, stronger credential governance and a clearer understanding of how AI-driven identities reshape operational and security risks.

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Microsoft expands AI model Aurora to improve global weather forecasts

Extreme weather displaced over 800,000 people worldwide in 2024, highlighting the importance of accurate forecasts for saving lives, protecting infrastructure, and supporting economies. Farmers, coastal communities, and energy operators rely on timely forecasts to prepare and respond effectively.

Microsoft is reaffirming its commitment to Aurora, an AI model designed to help scientists better understand Earth systems. Trained on vast datasets, Aurora can predict weather, track hurricanes, monitor air quality, and model ocean waves and energy flows.

The platform will remain open-source, enabling researchers worldwide to innovate, collaborate, and apply it to new climate and weather challenges.

Through partnerships with Professor Rich Turner at the University of Cambridge and initiatives like SPARROW, Microsoft is expanding access to high-quality environmental data.

Community-deployable weather stations are improving data coverage and forecast reliability in underrepresented regions. Aurora’s open-source releases, including model weights and training pipelines, will let scientists and developers adapt and build upon the platform.

The AI model has applications beyond research, with energy companies, commodity traders, and national meteorological services exploring its use.

By supporting forecasting systems tailored to local environments, Aurora aims to improve resilience against extreme weather, optimise renewable energy, and drive innovation across multiple industries, from humanitarian aid to financial services.

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Digital ID arrives for Apple users

Apple has introduced Digital ID, a new feature that lets users create an identification card in Apple Wallet using information from a US passport.

The feature launches in beta at Transportation Security Administration checkpoints across more than two hundred and fifty airports for domestic travel, instead of relying solely on physical documentation.

It offers an alternative for users who lack a Real ID-compliant card while not replacing a physical passport for international journeys.

Users set up a Digital ID by scanning the passport’s photo page, reading the chip on the back of the document, and completing facial movements for verification.

Once added, the ID can be presented with an iPhone or Apple Watch by holding the device near an identity reader and confirming the request with Face ID or Touch ID. New verification options for in-person checks at selected businesses, apps and online platforms are planned.

The company highlights privacy protection by storing passport data only on the user’s device, instead of Apple’s servers. Digital ID information is encrypted and cannot be viewed by Apple, and biometric authentication ensures that only the owner can present the identity.

Only the required information is shared during each transaction, and the user must approve it before it is released.

The launch expands Apple Wallet’s existing support for driver’s licences and state IDs, which are already available in twelve states and Puerto Rico. Recent months have added Montana, North Dakota and West Virginia, and Japan adopted the feature with the My Number Card.

Apple expects Digital ID to broaden secure personal identification across more services over time.

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EU investigates Google over potential Digital Markets Act breach

The European Commission has opened an investigation into whether Google may be breaching the Digital Markets Act by unfairly demoting news publishers in search results.

An inquiry that centres on Google’s ‘site reputation abuse policy’, which appears to lower rankings for publishers that host content from commercial partners, even when those partnerships support legitimate ways of monetising online journalism.

The Commission is examining whether Alphabet’s approach restricts publishers from conducting business, innovating, and cooperating with third-party content providers. Officials highlighted concerns that such demotions may undermine revenue at a difficult moment for the media sector.

These proceedings do not imply a final decision; instead, they allow the EU to gather evidence and assess Google’s practices in detail.

If the Commission finds evidence of non-compliance, it will present preliminary findings and request corrective measures. The investigation is expected to conclude within 12 months.

Under the DMA, infringements can lead to fines of up to ten percent of a company’s worldwide turnover, rising to twenty percent for repeated violations, alongside possible structural remedies.

Senior Commissioners stressed that gatekeepers must offer fair and non-discriminatory access to their platforms. They argued that protecting publishers’ ability to reach audiences supports media pluralism, innovation, and democratic resilience.

Google Search, designated as a core platform service under the DMA, has been required to comply fully with the regulation since March 2024.

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