Samsung puts AI trust and security at the centre of CES 2026

The South Korean tech giant, Samsung, used CES 2026 to foreground a cross-industry debate about trust, privacy and security in the age of AI.

During its Tech Forum session in Las Vegas, senior figures from AI research and industry argued that people will only fully accept AI when systems behave predictably, and users retain clear control instead of feeling locked inside opaque technologies.

Samsung outlined a trust-by-design philosophy centred on transparency, clarity and accountability. On-device AI was presented as a way to keep personal data local wherever possible, while cloud processing can be used selectively when scale is required.

Speakers said users increasingly want to know when AI is in operation, where their data is processed and how securely it is protected.

Security remained the core theme. Samsung highlighted its Knox platform and Knox Matrix to show how devices can authenticate one another and operate as a shared layer of protection.

Partnerships with companies such as Google and Microsoft were framed as essential for ecosystem-wide resilience. Although misinformation and misuse were recognised as real risks, the panel suggested that technological counter-measures will continue to develop alongside AI systems.

Consumer behaviour formed a final point of discussion. Amy Webb noted that people usually buy products for convenience rather than trust alone, meaning that AI will gain acceptance when it genuinely improves daily life.

The panel concluded that AI systems which embed transparency, robust security and meaningful user choice from the outset are most likely to earn long-term public confidence.

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UAE deploys AI ecosystem to support climate-vulnerable agriculture

The United Arab Emirates has launched an AI-driven ecosystem to help climate-vulnerable agricultural regions adapt to increasingly volatile weather. The initiative reinforces the country’s ambition to position itself as a global hub for applied AI in climate resilience and food security.

Unveiled in Abu Dhabi, the programme builds on a US$200m partnership with the Gates Foundation announced during COP28. It reflects a shift from climate pledges toward deployable technology as droughts, floods and heat stress intensify pressure on agriculture, particularly in the Global South.

At the core is an integrated ecosystem linking scientific research, AI model development and digital advisory tools with large-scale deployment. Rather than isolated pilots, the programmes are designed to translate data into practical tools used directly by governments, NGOs and farmers.

Abu Dhabi is positioning itself as a hub for agricultural AI through the CGIAR AI Hub and a new institute at Mohamed bin Zayed University of Artificial Intelligence. The ecosystem also includes AgriLLM, an open-source model trained on agricultural and climate data.

Delivery is supported by AIM for Scale, a joint UAE–Gates Foundation initiative expanding AI-powered weather forecasting in data-scarce regions. In India, AI-enabled monsoon forecasts reached an estimated 38 million farmers in 2025, with further deployments planned.

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California launches DROP tool to erase data broker records

Residents in California now have a simpler way to force data brokers to delete their personal information.

The state has launched the Delete Requests and Opt-Out Platform, known as DROP, allowing residents to submit one verified deletion request that applies to every registered data broker instead of contacting each company individually.

A system that follows the Delete Act, passed in 2023, and is intended to create a single control point for consumer data removal.

Once a resident submits a request, the data brokers must begin processing it from August 2026 and will have 90 days to act. If data is not deleted, residents may need to provide extra identifying details.

First-party data collected directly by companies can still be retained, while data from public records, such as voter rolls, remains exempt. Highly sensitive data may fall under separate legal protections such as HIPAA.

The California Privacy Protection Agency argues that broader data deletion could reduce identity theft, AI-driven impersonation, fraud risk and unwanted marketing contact.

Penalties for non-compliance include daily fines for brokers who fail to register or ignore deletion orders. The state hopes the tool will make data rights meaningful instead of purely theoretical.

A launch that comes as regulators worldwide examine how personal data is used, traded and exploited.

California is positioning itself as a leader in consumer privacy enforcement, while questions continue about how effectively DROP will operate when the deadline arrives in 2026.

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Cloud and AI growth fuels EU push for greener data centres

Europe’s growing demand for cloud and AI services is driving a rapid expansion of data centres across the EU.

Policymakers now face the difficulty of supporting digital growth instead of undermining climate targets, yet reliable sustainability data remains scarce.

Operators are required to report on energy consumption, water usage, renewable sourcing and heat reuse, but only around one-third have submitted complete data so far.

Brussels plans to introduce a rating scheme from 2026 that grades data centres on environmental performance, potentially rewarding the most sustainable new facilities with faster approvals under the upcoming Cloud and AI Development Act.

Industry groups want the rules adjusted so operators using excess server heat to warm nearby homes are not penalised. Experts also argue that stronger auditing and stricter application of standards are essential so reported data becomes more transparent and credible.

Smaller data centres remain largely untracked even though they are often less efficient, while colocation facilities complicate oversight because customers manage their own servers. Idle machines also waste vast amounts of energy yet remain largely unmeasured.

Meanwhile, replacing old hardware may improve efficiency but comes with its own environmental cost.

Even if future centres run on cleaner power and reuse heat, the manufacturing footprint of the equipment inside them remains a major unanswered sustainability challenge.

Policymakers say better reporting is essential if the EU is to balance digital expansion with climate responsibility rather than allowing environmental blind spots to grow.

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AI tool helps find new treatments for heart disease

A new ΑΙ system developed at Imperial College London could accelerate the discovery of treatments for heart disease by combining detailed heart scans with huge medical databases.

Cardiovascular disease remains the leading cause of death across the EU, accounting for around 1.7 million deaths every year, so researchers believe smarter tools are urgently needed.

The AI model, known as CardioKG, uses imaging data from thousands of UK Biobank participants, including people with heart failure, heart attacks and atrial fibrillation, alongside healthy volunteers.

By linking information about genes, medicines and disease, the system aims to predict which drugs might work best for particular heart conditions instead of relying only on traditional trial-and-error approaches.

Among the medicines highlighted were methotrexate, normally used for rheumatoid arthritis, and diabetes drugs known as gliptins, which the AI suggested could support some heart patients.

The model also pointed to a possible protective effect from caffeine among people with atrial fibrillation, although researchers warned that individuals should not change their caffeine intake based on the findings alone.

Scientists say the same technology could be applied to other health problems, including brain disorders and obesity.

Work is already under way to turn the knowledge graph into a patient-centred system that follows real disease pathways, with the long-term goal of enabling more personalised and better-timed treatment.

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Reddit overtakes TikTok in the UK social media race

In the UK, Reddit has quietly overtaken TikTok to become Britain’s fourth most-visited social media platform, marking a major shift in how people search for information and share opinions online.

Use of the platform among UK internet users has risen sharply over the past two years, driven strongly by younger audiences who are increasingly drawn to open discussion instead of polished influencer content.

Google’s algorithm changes have helped accelerate Reddit’s rise by prioritising forum-based conversations in search results. Partnership deals with major AI companies have reinforced visibility further, as AI tools increasingly cite Reddit threads.

Younger users in the UK appear to value unfiltered and experience-based conversations, creating strong growth across lifestyle, beauty, parenting and relationship communities, alongside major expansion in football-related discussion.

Women now make up more than half of Reddit’s UK audience, signalling a major demographic shift for a platform once associated mainly with male users. Government departments, including ministers, are also using Reddit for direct engagement through public Q&A sessions.

Tension remains part of the platform’s culture, yet company leaders argue that community moderation and voting systems help manage behaviour.

Reddit is now encouraging users to visit directly instead of arriving via search or AI summaries, positioning the platform as a human alternative to automated answers.

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Australia weighs risks and rewards of rapid AI adoption

AI is reshaping Australia’s labour market at a pace that has reignited anxiety about job security and skills. Experts say the speed and visibility of AI adoption have made its impact feel more immediate than previous technological shifts.

Since the public release of ChatGPT in late 2022, AI tools have rapidly moved from novelty to everyday workplace technology. Businesses are increasingly automating routine tasks, including through agentic AI systems that can execute workflows with limited human input.

Research from the HR Institute of Australia suggests the effects are mixed. While some entry-level roles have grown in the short term, analysts warn that clerical and administrative jobs remain highly exposed as automation expands across organisations.

Economic modelling indicates that AI could boost productivity and incomes if adoption is carefully managed, but may also cause short-term job displacement. Sectors with lower automation potential, including construction, care work, and hands-on services, are expected to absorb displaced workers.

Experts and unions say outcomes will depend on skills, policy choices, and governance. Australia’s National AI Plan aims to guide the transition, while researchers urge workers to upskill and use AI as a productivity tool rather than avoiding it.

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Universities in Ireland urged to rethink assessments amid AI concerns

Face-to-face interviews and oral verification could become a routine part of third-level assessments under new recommendations aimed at addressing the improper use of AI. Institutions are being encouraged to redesign assessment methods to ensure student work is authentic.

The proposals are set out in new guidelines published by the Higher Education Authority (HEA) of Ireland, which regulates universities and other third-level institutions. The report argues that assessment systems must evolve to reflect the growing use of generative AI in education.

While encouraging institutions to embrace AI’s potential, the report stresses the need to ensure students are demonstrating genuine learning. Academics have raised concerns that AI-generated assignments are increasingly difficult to distinguish from original student work.

To address this, the report recommends redesigning assessments to prioritise student authorship and human judgement. Suggested measures include oral verification, process-based learning, and, where appropriate, a renewed reliance on written exams conducted without technology.

The authors also caution against relying on AI detection tools, arguing that integrity processes should be based on dialogue and evidence. They call for clearer policies, staff and student training, and safeguards around data use and equitable access to AI tools.

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India outlines plan to widen AI access

India’s government has set out plans to democratise AI infrastructure nationwide. The strategy focuses on expanding access beyond major technology hubs.

Officials aim to increase availability of computing power, datasets and AI models. Startups, researchers and public institutions are key intended beneficiaries.

New initiatives under IndiaAI and national supercomputing programmes will boost domestic capacity. Authorities say local compute access reduces reliance on foreign providers.

Digital public platforms will support data sharing and model development. The approach seeks inclusive innovation across education, healthcare and governance across India.

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Data centre cluster in Tennessee strengthens xAI’s compute ambitions

xAI is expanding its AI infrastructure in the southern United States after acquiring another data centre site near Memphis. The move significantly increases planned computing capacity and supports ambitions for large-scale AI training.

The expansion centres on the purchase of a third facility near Memphis, disclosed by Elon Musk in a post on X. The acquisition brings xAI’s total planned power capacity close to 2 gigawatts, placing the project among the most energy-intensive AI data centre developments currently underway.

xAI has already completed one major US facility in the area, known as Colossus, while a second site, Colossus 2, remains under construction. The newly acquired building, called MACROHARDRR, is located in Southaven and directly adjoins the Colossus 2 site, as previously reported.

By clustering facilities across neighbouring locations, xAI is creating a contiguous computing campus. The approach enables shared power, cooling, and high-speed data infrastructure for large-scale AI workloads.

The Memphis expansion underscores the rising computational demands of frontier AI models. By owning and controlling its infrastructure, xAI aims to secure long-term access to high-end compute as competition intensifies among firms investing heavily in AI data centres.

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