Digital standards

Microsoft brings Grok AI to Azure

Microsoft has become one of the first major cloud providers to offer managed access to Grok, the controversial AI model from Elon Musk’s xAI startup.

Now available through the Azure AI Foundry platform, both Grok 3 and Grok 3 mini will be billed by Microsoft and include the same service-level agreements as other Azure-hosted models.

Grok gained attention for its unfiltered and provocative tone, marketed by Musk as a more candid alternative to mainstream AI.

Unlike ChatGPT, it has been known to use vulgar language and provide responses on sensitive topics that other models typically avoid.

However, the AI has stirred criticism, particularly over troubling behaviour such as undressing women in photos and referencing conspiracy theories. Incidents of censorship and offensive content have raised concerns about its deployment on Musk’s platform X.

Instead of replicating that experience, Microsoft is offering a more controlled version of Grok within Azure. These versions include stricter content controls, enhanced data integration, and improved governance tools, distinguishing them from the models directly available through xAI.

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Can AI replace therapists?

With mental health waitlists at record highs and many struggling to access affordable therapy, some are turning to AI chatbots for support.

Kelly, who waited months for NHS therapy, found solace in character.ai bots, describing them as always available, judgment-free companions. ‘It was like a cheerleader,’ she says, noting how bots helped her cope with anxiety and heartbreak.

But despite emotional benefits for some, AI chatbots are not without serious risks. Character.ai is facing a lawsuit from the mother of a 14-year-old who died by suicide after reportedly forming a harmful relationship with an AI character.

Other bots, like one from the National Eating Disorder Association, were shut down after giving dangerous advice.

Even so, demand is high. In April 2024 alone, 426,000 mental health referrals were made in England, and over a million people are still waiting for care. Apps like Wysa, used by 30 NHS services, aim to fill the gap by offering CBT-based self-help tools and crisis support.

Experts warn, however, that chatbots lack context, emotional intuition, and safeguarding. Professor Hamed Haddadi calls them ‘inexperienced therapists’ that may agree too easily or misunderstand users.

Ethicists like Dr Paula Boddington point to bias and cultural gaps in the AI training data. And privacy is a looming concern: ‘You’re not entirely sure how your data is being used,’ says psychologist Ian MacRae.

Still, users like Nicholas, who lives with autism and depression, say AI has helped when no one else was available. ‘It was so empathetic,’ he recalls, describing how Wysa comforted him during a night of crisis.

A Dartmouth study found AI users saw a 51% drop in depressive symptoms, but even its authors stress bots can’t replace human therapists. Most experts agree AI tools may serve as temporary relief or early intervention—but not as long-term substitutes.

As John, another user, puts it: ‘It’s a stopgap. When nothing else is there, you clutch at straws.’

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Met Office and Microsoft debut AI-ready forecasting system

The UK’s Met Office has launched a new supercomputer designed to significantly improve weather and climate forecasting accuracy. Operated via Microsoft’s Azure cloud platform, it is the world’s first cloud-based supercomputer dedicated solely to weather and climate science.

Capable of performing 60 quadrillion calculations per second—more than four times faster than its predecessor—the system is expected to enhance 14-day forecasts, improve rainfall predictions, and offer better data for sectors like aviation and energy.

The infrastructure, split across two data centres in southern England, runs entirely on renewable energy. Originally announced in 2020 with a £1.2 billion UK government investment, the project faced delays due to COVID-19 and global supply chain disruptions.

Despite recent cyberattacks on UK institutions, Met Office officials say the new system has robust security and represents a major technological upgrade.

The Met Office also says the new system will support AI integration and provide better insights into climate change-related events, such as floods and wildfires.

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Lords reject UK AI copyright bill again

The UK government has suffered a second defeat in the House of Lords over its Data (Use and Access) Bill, as peers once again backed a copyright-focused amendment aimed at protecting artists from AI content scraping.

Baroness Kidron, a filmmaker and digital rights advocate, led the charge, accusing ministers of listening to the ‘sweet whisperings of Silicon Valley’ and allowing tech firms to ‘redefine theft’ by exploiting copyrighted material without permission.

Her amendment would force AI companies to disclose their training data sources and obtain consent from rights holders.

The government had previously rejected this amendment, arguing it would lead to ‘piecemeal’ legislation and pre-empt ongoing consultations.

But Kidron’s position was strongly supported across party lines, with peers calling the current AI practices ‘burglary’ and warning of catastrophic damage to the UK’s creative sector.

High-profile artists like Sir Elton John, Paul McCartney, Annie Lennox, and Kate Bush have condemned the government’s stance, with Sir Elton branding ministers ‘losers’ and accusing them of enabling theft.

Peers from Labour, the Lib Dems, the Conservatives, and the crossbenches united to defend UK copyright law, calling the government’s actions a betrayal of the country’s leadership in intellectual property rights.

Labour’s Lord Brennan warned against a ‘double standard’ for AI firms, while Lord Berkeley insisted immediate action was needed to prevent long-term harm.

Technology Minister Baroness Jones countered that no country has resolved the AI-copyright dilemma and warned that the amendment would only create more regulatory confusion.

Nonetheless, peers voted overwhelmingly in favour of Kidron’s proposal—287 to 118—sending the bill back to the Commons with a strengthened demand for transparency and copyright safeguards.

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Uber is ready for driverless taxis in the UK

Uber says it is fully prepared to launch driverless taxis in the UK, but the government has pushed back its timeline for approving fully autonomous vehicles.

The previous 2026 target has been shifted to the second half of 2027, despite rapid developments in self-driving technology already being trialled on British roads.

Currently, limited self-driving systems are legal so long as a human remains behind the wheel and responsible for the car.

Uber, which already runs robotaxis in the US and parts of Asia, is working with 18 tech firms—including UK-based Wayve—to expand the service. Wayve’s AI-driven vehicles were recently tested in central London, managing traffic, pedestrians and roadworks with no driver intervention.

Uber’s Andrew Macdonald said the technology is ready now, but regulatory support is still catching up. The government insists legislation will come in 2027 and is exploring short-term trials in the meantime.

Macdonald acknowledged safety concerns, noting incidents abroad, but argued autonomous vehicles could eventually prove safer than human drivers, based on early US data.

Beyond technology, the shift raises big questions around insurance, liability and jobs. The government sees a £42 billion industry with tens of thousands of new roles, but unions warn of social impacts for professional drivers.

Still, Uber sees a future where fewer people even bother to learn how to drive, because AI will do it for them.

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Why ITU’s legacy still shapes our digital world

On 17 May 1865, 20 European countries came together to create the International Telecommunication Union (ITU), a response to the tedious and inefficient telegraph system that required messages to be rewritten at every border. This practical move—born not from idealism but necessity—paved the way for a global communications framework that continues to underpin today’s digital world.

From the first bilateral agreements to modern platforms like Instagram and AI tools like ChatGPT, the same core principle remains: international cooperation is essential to seamless communication. Despite revolutionary advances in technology, diplomacy has changed slowly.

Yet ITU’s mission—to balance national interests with shared global connectivity—has remained constant. For instance, debates over digital privacy and cybersecurity today echo those from the 19th century over telegraph regulation.

Even as US policies toward multilateralism shift, its consistent support for the ITU showcases how diplomacy can maintain continuity across centuries of change. As Jovan Kurbalija notes in his recent blog post, understanding this long arc of diplomatic history is essential for making sense of today’s tech governance debates.

Crises often trigger breakthroughs in multilateral governance. The Titanic disaster, for example, catalysed swift international regulation of radio communication after years of stagnation. In our interconnected AI-driven era, similar ‘Titanic moments’ could once again force urgent global agreements.

That is especially pressing as technology continues to reshape power structures, favouring innovators and standard-setters, and reviving the age-old race between digital ‘haves’ and ‘have-nots.’

Why does it matter?

ITU’s 160-year legacy is a testament to the endurance of diplomacy amid technological disruption. While tools evolve—from telegraphs to AI—the diplomatic mission to resolve conflicts and foster cooperation remains unchanged. The story of ITU, as Kurbalija reflects, is not just about commemorating the past, but recognising the urgent need for global cooperation in shaping our digital future.

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Researchers believe AI transparency is within reach by 2027

Top AI researchers admit they still do not fully understand how generative AI models work. Unlike traditional software that follows predefined logic, gen AI models learn to generate responses independently, creating a challenge for developers trying to interpret their decision-making processes.

Dario Amodei, co-founder of Anthropic, described this lack of understanding as unprecedented in tech history. Mechanistic interpretability — a growing academic field — aims to reverse engineer how gen AI models arrive at outputs.

Experts compare the challenge to understanding the human brain, but note that, unlike biology, every digital ‘neuron’ in AI is visible.

Companies like Goodfire are developing tools to map AI reasoning steps and correct errors, helping prevent harmful use or deception. Boston University professor Mark Crovella says interest is surging due to the practical and intellectual appeal of interpreting AI’s inner logic.

Researchers believe the ability to reliably detect biases or intentions within AI models could be achieved within a few years.

This transparency could open the door to AI applications in critical fields like security, and give firms a major competitive edge. Understanding how these systems work is increasingly seen as vital for global tech leadership and public safety.

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Elton John threatens legal fight over AI use

Sir Elton John has lashed out at the UK government over plans that could allow AI companies to use copyrighted content without paying artists, calling ministers ‘absolute losers’ and accusing them of ‘thievery on a high scale.’

He warned that younger musicians, without the means to challenge tech giants, would be most at risk if the proposed changes go ahead.

The row centres on a rejected House of Lords amendment to the Data Bill, which would have required AI firms to disclose what material they use.

Despite a strong majority in favour in the Lords, the Commons blocked the move, meaning the bill will keep bouncing between the two chambers until a compromise is reached.

Sir Elton, joined by playwright James Graham, said the government was failing to defend creators and seemed more interested in appeasing powerful tech firms.

More than 400 artists, including Sir Paul McCartney, have signed a letter urging Prime Minister Sir Keir Starmer to strengthen copyright protections instead of allowing AI to mine their work unchecked.

While the government insists no changes will be made unless they benefit creators, critics say the current approach risks sacrificing the UK’s music industry for Silicon Valley’s gain.

Sir Elton has threatened legal action if the plans go ahead, saying, ‘We’ll fight it all the way.’

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JMA to test AI-enhanced weather forecasting

The Japan Meteorological Agency (JMA) is exploring the use of AI to improve the accuracy of weather forecasts, with a particular focus on deep learning technologies, according to a source familiar with the plans.

A dedicated team was launched in April to begin developing the infrastructure and tools needed to integrate AI with JMA’s existing numerical weather prediction models. The goal is to combine traditional simulations with AI-generated forecasts based on historical weather data.

If implemented, AI systems could identify weather patterns more efficiently and enhance forecasts for variables such as rainfall and temperature. The technology may also offer improved accuracy in predicting extreme weather events like typhoons.

Currently, the JMA relies on supercomputers to simulate future atmospheric conditions based on observational data. Human forecasters then review the outputs, applying expert judgment before issuing final forecasts and alerts. Even with AI integration, human oversight will remain a core part of the process.

In addition to forecasting, the agency is also considering AI for processing data from the Himawari-10 satellite, which is expected to launch in fiscal 2029.

An official announcement outlining further AI integration measures is anticipated in June.

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UK workers struggle to keep up with AI

AI is reshaping the UK workplace, but many employees feel unprepared to keep pace, according to a major new study by Henley Business School.

While 56% of full-time professionals expressed optimism about AI’s potential, 61% admitted they were overwhelmed by how quickly the technology is evolving.

The research surveyed over 4,500 people across nearly 30 sectors, offering what experts call a clear snapshot of AI’s uneven integration into British industries.

Professor Keiichi Nakata, director of AI at The World of Work Institute, said workers are willing to embrace AI, but often lack the training and guidance to do so effectively.

Instead of empowering staff through hands-on learning and clear internal policies, many companies are leaving their workforce under-supported.

Nearly a quarter of respondents said their employers were failing to provide sufficient help, while three in five said they would use AI more if proper training were available.

Professor Nakata argued that AI has the power to simplify tasks, remove repetitive duties, and free up time for more meaningful work.

But he warned that without better support, businesses risk missing out on what could be a transformative force for both productivity and employee satisfaction.

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