Sustainable development Archives | Page 9 of 294

xAI faces lawsuit over alleged misuse of AI image generation

Legal action has been filed against xAI in a US federal court, with plaintiffs alleging that its AI system Grok was used to generate harmful and explicitly manipulated images of minors.

The lawsuit claims that xAI failed to implement adequate safeguards to prevent the creation of such content, despite similar protections adopted by other AI developers.

According to the filing, the technology enabled the transformation of real images into explicit material without sufficient restrictions.

Plaintiffs seek to establish a class action, arguing that the company should be held accountable for both direct and third-party uses of its models. Legal arguments focus on whether responsibility extends to external applications built using the same underlying AI systems.

The case also highlights broader regulatory challenges surrounding AI-generated content, particularly the difficulty of preventing misuse when systems can modify real images. Questions around platform liability, safety standards, and enforcement are likely to shape future policy discussions.

Growing scrutiny of AI developers reflects increasing concern over how generative systems are deployed, especially in contexts involving sensitive or harmful content.

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New licensing rules for crypto platforms in Australia

Australia is advancing plans to regulate digital asset platforms under its financial services framework. The Senate committee recommended passing the Digital Assets Framework Bill 2025, bringing Australia closer to licensing crypto exchanges and tokenisation platforms.

Industry groups have raised concerns about definitions such as ‘digital token’ and ‘factual control.’ Broad wording could inadvertently cover infrastructure providers, including multi-party wallet systems, potentially classifying them as financial service operators.

Ripple Labs emphasised the need for precise language to avoid unintended regulation.

The committee supported the Treasury’s approach while planning to refine technical details through future regulations. Coinbase welcomed the progress but noted ongoing banking challenges for crypto firms.

The bill now proceeds to the Senate for debate and a final vote, which could reshape digital asset operations in Australia.

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Microsoft Exchange Online outage affects users globally

A service disruption has affected users of Microsoft Exchange Online, and Microsoft has confirmed ongoing investigations into mailbox access issues affecting enterprise customers worldwide.

Reports indicate that Microsoft users encountered difficulties connecting via multiple access points, including the Microsoft Outlook desktop and mobile applications and browser-based email services. The issue affects specific connection methods rather than the entire platform.

Organisations relying on cloud-based communication tools experienced interruptions in email workflows, calendar scheduling, and shared mailbox functionality. Such disruptions can significantly disrupt operational continuity, particularly for businesses that depend on real-time communication systems.

Updates through Microsoft’s service health channels suggest that engineering teams are working to identify the root cause, though no definitive explanation has yet been provided.

Such incidents highlight broader concerns around resilience in cloud infrastructure, as enterprises increasingly depend on centralised platforms for critical communication services.

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Green light for massive UK AI tech park

North Lincolnshire Council has granted outline planning permission for the Elsham Tech Park, a proposed AI data centre campus that would rank among the largest of its kind in the UK.

At full build-out, the site would include up to 15 hyperscale data centre buildings across 176 hectares, delivering more than 1.5 million square metres of floorspace and up to 1GW of computing capacity.

The development is expected to cost between £5.5 billion and £7.5 billion to build and could attract up to £10 billion in private investment over its lifetime.

Developer Greystoke plans to begin construction in 2027, with the first phase due to open in 2029, and the full campus to be delivered in phases over approximately a decade.

The project is also required to source at least 30% of build costs from businesses within a 30-mile radius, injecting an estimated £1.65 billion to £2.25 billion into the local economy.

The scheme received over 380 letters of objection from residents and environmental groups. Critics raised concerns, including loss of privacy for neighbouring properties, around-the-clock noise and light, and the scale of carbon emissions, with one campaign group estimating the equivalent of twice the woodland of Wales would be needed to offset the development’s environmental impact.

Permission was nonetheless granted unanimously by councillors.

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NVIDIA expands physical AI ecosystem to accelerate real world robotics

Partnerships across the robotics sector are positioning NVIDIA at the centre of what is increasingly described as ‘physical AI’, a shift towards intelligent machines capable of perceiving, reasoning and acting in real environments.

A new generation of tools, including NVIDIA Cosmos world models and updated NVIDIA Isaac simulation frameworks, aims to support developers in training and validating robots before deployment.

These systems enable companies to simulate complex environments, reducing the risks and costs of real-world testing.

Industrial robotics leaders such as ABB Robotics, KUKA, and FANUC are integrating NVIDIA technologies into digital twin environments, enabling more accurate modelling of production lines and automation systems.

Advances are also extending into humanoid robotics, where companies are using AI models to develop machines capable of more flexible and adaptive behaviour.

New foundation models, including GR00T systems, are designed to give robots general-purpose capabilities instead of limiting them to specific tasks.

Healthcare and logistics represent additional areas of deployment, with robotics platforms being tested in surgical systems, warehouse automation and manufacturing environments. These applications highlight how physical AI could reshape industries requiring precision, safety and scalability.

Growing collaboration across cloud providers, manufacturers and AI developers suggests that robotics is moving toward a more integrated ecosystem, where simulation, data generation and deployment are increasingly interconnected.

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Britain targets quantum leadership with £1bn investment

UK Secretary of State for Science, Innovation and Technology Liz Kendall has announced a £1bn funding package to boost UK quantum computing and retain domestic talent.

The initiative reflects growing concern over the country’s ability to compete globally, particularly after the US established dominance in AI.

Officials emphasised the need to retain British startups, engineers, and researchers who often relocate abroad in search of better funding and scaling opportunities. The UK produces top talent, but Google and OpenAI own many leading firms.

The investment will support the development of large-scale quantum computers for use across science, industry, and the public sector. Another £1bn will fund real-world use in finance, pharmaceuticals, and energy.

The government aims to build a fully operational domestic quantum system by the early 2030s.

Quantum computing uses qubits that can exist in multiple states simultaneously, enabling far greater computational power than classical systems. Fully fault-tolerant machines are still in development, but the technology could drive advances in drug discovery, materials science, and complex modelling.

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AI tool could help detect domestic violence risk years earlier

Researchers in the United States have developed an AI system designed to help doctors identify patients who may be at risk of intimate partner violence. The tool analyses hospital data to detect patterns associated with abuse, potentially enabling healthcare professionals to intervene earlier.

Intimate partner violence refers to abuse from current or former partners and can lead to serious injuries, chronic pain, and long-term mental health problems. According to the European Commission, 18 percent of women who have had a partner reported experiencing physical or sexual violence from a partner in 2021.

The study, published in the journal Nature, examined hospital records from nearly 850 women who had experienced intimate partner violence and more than 5,200 similar patients in a control group. Researchers used the data to train three different machine learning systems to detect patterns associated with abuse.

One model analysed structured hospital data, such as age and medical history. A second model examined written clinical notes, including doctors’ observations and radiology reports. A third system combined both data types and achieved the strongest results, correctly identifying risk in 88 percent of cases.

Researchers found that the system could flag potential abuse more than three years before some patients later entered hospital-based intervention programmes. By analysing large datasets, the tool can detect patterns of physical trauma linked to abuse and alert clinicians so they can approach the issue carefully and offer support.

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AI network management systems deployed for BTS concert in Seoul

South Korea’s three major telecommunications operators plan to deploy advanced network technologies during the BTS comeback concert scheduled for 21 March at Gwanghwamun Square in central Seoul. The initiative aims to bolster network management, prevent congestion, and ensure stable connectivity as large crowds gather in a confined space.

SK Telecom said it will introduce its proprietary AI-powered network management system, A-One, at the event. The technology can recommend optimal equipment placement, predict traffic demand, and monitor real-time network performance to maintain service stability.

To manage heavy data usage during the concert, the company will operate multiple network systems across the venue’s different zones. The setup is designed to allow attendees inside the square to upload photos and videos quickly while enabling viewers outside the venue to stream the concert without interruptions. Additional equipment will also be installed in areas expected to attract international visitors.

KT will deploy its AI-based autonomous traffic management system, W-SDN, which monitors network usage in real time and automatically adjusts traffic flows if congestion is detected. The company will activate an emergency network control mode during the event and deploy about 80 engineers and portable base stations on site.

LG Uplus will also apply its autonomous network management technology, which predicts traffic changes and distributes network loads across nearby base stations. The South Korea-based operator said the system will help ensure uninterrupted connectivity for concertgoers throughout the event.

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AI and robotics could offset impact of aging populations in Asia

Declining fertility rates have long been considered a major risk to economic growth, but analysts suggest the outlook may not be entirely negative for several advanced Asian economies. Rising investment in AI and robotics is increasingly viewed as a way to offset labour shortages caused by ageing populations.

According to analysts at Bank of America Global Research, technological innovation driven by AI and robotics could support productivity growth even as workforces shrink. Strong ecosystems in semiconductors, technology hardware, and industrial machinery allow some countries in the region to deploy advanced technologies faster and at lower cost than many other parts of the world.

South Korea currently has the highest robot density in the world, with about 1,012 industrial robots per 10,000 manufacturing workers. Chi n a has 470 and Japan 419, both significantly above the global average of 162, according to 2024 figures from the International Federation of Robotics.

Analysts say governments across East Asia are accelerating the adoption of AI and robotics to address demographic pressures. In particular, China, South Korea, and Japan have expanded investments in robotics, AI systems, and advanced manufacturing technologies to maintain economic productivity.

Population projections highlight the scale of the challenge facing these economies. By 2050, about 37 percent of Japan’s population and nearly 40 percent of South Korea’s population are expected to be aged 65 or older, while China’s share could reach around 31 percent.

Despite concerns about slowing growth, economists argue that advances in AI and robotics could weaken the traditional link between economic output and workforce size. Automation technologies not only replace routine tasks but also enhance human productivity in many industries.

A study by the Bank of Korea estimated that demographic pressures could reduce the country’s gross domestic product by 16.5 percent between 2023 and 2050. However, wider adoption of AI and robotics could limit the decline to around 5.9 percent under favourable conditions.

Some analysts caution that the economic benefits of automation may not be evenly distributed. While AI and robotics can improve productivity, technological gains often benefit capital owners and highly skilled workers more than others.

Economists also warn that consumption may slow as the number of households declines, while governments may face greater fiscal pressure from higher pension and healthcare costs. Policymakers may need to invest in workforce retraining and education to help workers adapt to the growing role of AI and robotics in the economy.

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Study warns AI chatbots may reinforce delusional thinking

A new scientific review has raised concerns that AI chatbots could reinforce delusional thinking, particularly among people already vulnerable to psychosis. The review, published in The Lancet Psychiatry, summarises emerging evidence suggesting that chatbot interactions may validate or amplify delusional thinking in certain users.

The study examined reports and research discussing what some have described as ‘AI-associated delusions’. Dr Hamilton Morrin, a psychiatrist and researcher at King’s College London, analysed media reports and existing evidence exploring how chatbot responses might interact with psychotic symptoms.

Psychotic delusions generally fall into three categories: grandiose, romantic, and paranoid. Researchers say chatbots may unintentionally reinforce such beliefs because they often respond in ways that are supportive or affirming. In some reported cases, users received responses suggesting spiritual significance or implying that a higher entity was communicating through the chatbot.

Researchers emphasise that there is currently no clear evidence that AI systems can independently cause psychosis in individuals without prior vulnerability. However, interactions with chatbots could strengthen existing beliefs or accelerate the progression of delusional thinking in people already at risk.

Experts say the interactive nature of chatbots may intensify the effect. Unlike static sources of information such as videos or articles, chatbots can engage users directly and repeatedly, potentially reinforcing problematic beliefs more quickly.

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