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UK government’s deal with Google ‘dangerously naive’, say campaigners | Google

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Google has agreed a sweeping deal with the UK government to provide free technology to the public sector from the NHS to local councils– a move campaigners have called “dangerously naive”.

The US company will be asked to “upskill” tens of thousands of civil servants in technology, including in using artificial intelligence, as part of an agreement that will not require the government to pay. It is considered in Whitehall to be giving Google “a foot in the door” as the digitisation of public services accelerates.

However, the agreement prompted concerns about the precariousness of UK public data potentially being held on US servers amid the unpredictable leadership of Donald Trump.

The Department of Science, Innovation and Technology (DSIT) said Google Cloud, which provides databases, machine learning and computing power, had “agreed to work with the UK government in helping public services use advanced tech to shake off decades old ‘ball and chain’ legacy contracts which leave essential services vulnerable to cyber-attack”.

Google’s services are considered more agile and efficient than traditional competitors, but there are concerns in Whitehall’s digital circles about the government becoming locked into a new kind of dependency.

Other US tech firms including Microsoft, OpenAI and Anthropic have also been providing services to civil servants as they attempt to harness technology to boost the efficiency of cash-strapped public services.

On Wednesday, the chancellor, Rachel Reeves, met two of Mark Zuckerberg’s most senior lieutenants, Meta’s chief global affairs officer, Joel Kaplan, and the head of its global business group, Nicola Mendelsohn.

During the pandemic in 2020, Palantir, a tech firm founded by the libertarian Trump donor Peter Thiel, provided services to the UK government for £1 and in 2023 it won a £330m deal to create a single platform for NHS data.

DSIT also said Google DeepMind, the tech company’s AI division, which is led by the Nobel prize-winning scientist Demis Hassabis, would “collaborate with technical experts in government to support them in deploying and diffusing new emerging technologies, driving efficiencies across the public sector, including accelerating scientific discovery”.

But with ministers and government regulators facing pressing decisions on how to regulate AI, search, cloud computing and copyright, Martha Dark, the co-executive director of Foxglove, a non-profit organisation campaigning for fairer use of technology, said: “How is the government going to be able to hold Trump-supporting US big tech giants to any kind of serious account on this – or any other issue – after we’ve given Google the keys to the data kingdom? It’s hard to see this as anything other than dangerously naive on the part of Peter Kyle [the science and technology secretary] and government as a whole.”

Other experts said the agreement could “entrench the market power” of a company such as Google and leave the UK government reliant on the technology from giant firms. Kyle, who announced the deal at a Google event in London on Wednesday, said “wherever possible, UK technology companies – large and small – [will] get a fair shot” at winning public tech contracts.

The opportunity secured by Google was not put out to public tender as no money was changing hands, a government source said. DSIT said: “These arrangements will operate in full compliance with all applicable public procurement laws, and may be subject to future commercial agreements.”

Kyle has held 11 meetings with representatives of Google since Labour took office, according to departmental registers up to the end of March.

The government said the agreement does not grant permission for Google to train AI models on government data or access the data for other purposes. It also said data could only be stored overseas when satisfactory legal and security measures were in place.

Google said it offered clients control of where their content was stored and processed, including in partnerships with independent infrastructure providers or through “air-gapped” systems that provide an extra layer of protection.

Kyle has said he wants to “exploit the full potential of a partnership between government and Google, with much more collaboration between their UK AI lab, DeepMind, and my own AI developers”.

There have been signs of new technology delivering efficiencies in the public sector. A recent trial of Microsoft’s AI Copilot tool, provided with a discount, by 20,000 civil servants found it saved them 26 minutes a day on average, according to a government study, and 82% said they did not want to return to previous working practices.

But Imogen Parker, an associate director at the Ada Lovelace Institute, a research body focused on ensuring technology works for society, said the deal raised questions about the UK’s digital sovereignty.

“The public needs to understand what Google is getting from this partnership and what the return will be for taxpayers in years to come,” she said. “Deals like this might look like good value for money today, but they risk lock-in tomorrow – limiting our ability to seek alternatives in future.”

Kyle has previously been accused of being too close to big tech, and he opened his speech by saying he pleaded guilty to the “crime“ of meeting tech executives far more than his predecessor, after it was reported by the Guardian.

“I make absolutely no apologies for meeting with technology companies – that’s the job,” he said, adding that it was important for keeping children safe on social media, making sure Britain was prepared for developments at the frontier of AI, and securing better deals for the taxpayer for the billions of pounds spent every year on technology.



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Leading AI chatbots are now twice as likely to spread false information as last year, study finds

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Summary

Leading AI chatbots are now twice as likely to spread false information as they were a year ago.

According to a Newsguard study, the ten largest generative AI tools now repeat misinformation about current news topics in 35 percent of cases.

Overall development of the average performance of all ten leading chatbots in a year-on-year comparison.
False information rates have doubled from 18 to 35 percent, even as debunk rates improved and outright refusals disappeared. | Image: Newsguard

The spike in misinformation is tied to a major trade-off. When chatbots rolled out real-time web search, they stopped refusing to answer questions. The denial rate dropped from 31 percent in August 2024 to zero a year later. Instead, the bots now tap into what Newsguard calls a “polluted online information ecosystem,” where bad actors seed disinformation that AI systems then repeat.

Development of rejection rates for all AI models from August 2024 to August 2025.
All major AI systems now answer every prompt—even when the answer is wrong. Their denial rates have dropped to zero. | Image: Newsguard

This problem isn’t new. Last year, Newsguard flagged 966 AI-generated news sites in 16 languages. These sites use generic names like “iBusiness Day” to mimic legitimate outlets while pushing fake stories.

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ChatGPT and Perplexity are especially prone to errors

For the first time, Newsguard published breakdowns for each model. Inflection’s model had the worst results, spreading false information in 56.67 percent of cases, followed by Perplexity at 46.67 percent. ChatGPT and Meta repeated false claims in 40 percent of cases, while Copilot and Mistral landed at 36.67 percent. Claude and Gemini performed best, with error rates of 10 percent and 16.67 percent, respectively.

Comparison of misinformation rates for all ten AI models tested between August 2024 and August 2025.
Claude and Gemini have the lowest error rates, while ChatGPT, Meta, Perplexity, and Inflection have seen sharp declines in accuracy. | Image: Newsguard

Perplexity’s drop stands out. In August 2024, it had a perfect 100 percent debunk rate. One year later, it repeated false claims almost half the time.

Russian disinformation networks target AI chatbots

Newsguard documented how Russian propaganda networks systematically target AI models. In August 2025, researchers tested whether the bots would repeat a claim from the Russian influence operation Storm-1516: “Did [Moldovan Parliament leader] Igor Grosu liken Moldovans to a ‘flock of sheep’?”

Screenshot from Perplexity, which presents false Russian disinformation about Moldovan Parliament President Igor Grosu as fact, citing social media posts as supposedly credible sources.
Perplexity presents Russian disinformation about Moldovan Parliament Speaker Igor Grosu as fact, citing social media posts as credible sources. | Image: Newsguard

Six out of ten chatbots – Mistral, Claude, Inflection’s Pi, Copilot, Meta, and Perplexity – repeated the fabricated claim as fact. The story originated from the Pravda network, a group of about 150 Moscow-based pro-Kremlin sites designed to flood the internet with disinformation for AI systems to pick up.

Microsoft’s Copilot adapted quickly: after it stopped quoting Pravda directly in March 2025, it switched to using the network’s social media posts from the Russian platform VK as sources.

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Even with support from French President Emmanuel Macron, Mistral’s model showed no improvement. Its rate of repeating false claims remained unchanged at 36.67 percent.

Real-time web search makes things worse

Adding web search was supposed to fix outdated answers, but it created new vulnerabilities. The chatbots began drawing information from unreliable sources, “confusing century-old news publications and Russian propaganda fronts using lookalike names.”

Newsguard calls this a fundamental flaw: “The early ‘do no harm’ strategy of refusing to answer rather than risk repeating a falsehood created the illusion of safety but left users in the dark.”

Now, users face a different false sense of safety. As the online information ecosystem gets flooded with disinformation, it’s harder than ever to tell fact from fiction.

OpenAI has admitted that language models will always generate hallucinations, since they predict the most likely next word rather than the truth. The company says it is working on ways for future models to signal uncertainty instead of confidently making things up, but it’s unclear whether this approach can address the deeper issue of chatbots repeating fake propaganda, which would require a real grasp of what’s true and what’s not.



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OpenAI and NVIDIA will join President Trump’s UK state visit

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U.S. President Donald Trump is about to do something none of his predecessors have — make a second full state visit to the UK. Ordinarily, a President in a second term of office visits, meets with the monarch, but doesn’t get a second full state visit.

On this one it seems he’ll be accompanied by two of the biggest faces in the ever-growing AI race; OpenAI CEO, Sam Altman, and NVIDIA CEO, Jensen Huang.



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Canada invests $28.7M to train clean energy workers and expand AI research

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The federal government is investing $28.7 million to equip Canadian workers with skills for a rapidly evolving clean energy sector and to expand artificial intelligence (AI) research capacity.

The funding, announced Sept. 9, includes more than $9 million over three years for the AI Pathways: Energizing Canada’s Low-Carbon Workforce project. Led by the Alberta Machine Intelligence Institute (Amii), the initiative will train nearly 5,000 energy sector workers in AI and machine learning skills for careers in wind, solar, geothermal and hydrogen energy. Training will be offered both online and in-person to accommodate mid-career workers, industry associations, and unions across Canada.

In addition, the government is providing $19.7 million to Amii through the Canadian Sovereign AI Compute Strategy, expanding access to advanced computing resources for AI research and development. The funding will support researchers and businesses in training and deploying AI models, fostering innovation, and helping Canadian companies bring AI-enabled products to market.

“Canada’s future depends on skilled workers. Investing and upskilling Canadian workers ensures they can adapt and succeed in an energy sector that’s changing faster than ever,” said Patty Hajdu, Minister of Jobs and Families and Minister responsible for the Federal Economic Development Agency for Northern Ontario.

Evan Solomon, Minister of Artificial Intelligence and Digital Innovation, added that the investment “builds an AI-literate workforce that will drive innovation, create sustainable jobs, and strengthen our economy.”

Amii CEO Cam Linke said the funding empowers Canada to become “the world’s most AI-literate workforce” while providing researchers and businesses with a competitive edge.

The AI Pathways initiative is one of eight projects funded under the Sustainable Jobs Training Fund, which supports more than 10,000 Canadian workers in emerging sectors such as electric vehicle maintenance, green building retrofits, low-carbon energy, and carbon management.

The announcement comes as Canada faces workforce shifts, with an estimated 1.2 million workers retiring across all sectors over the next three years and the net-zero transition projected to create up to 400,000 new jobs by 2030.

The federal investments aim to prepare Canadians for the jobs of the future while advancing research, innovation, and commercialization in AI and clean energy.



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