Consumer protection

Google and Flo Health settle health data privacy suit for $56 million

Google has agreed to pay $48 million, and Flo Health, a menstrual tracking app, has agreed to pay $8 million to resolve claims that the app shared users’ health data without their consent.

The lawsuit alleged that Flo used third-party tools to transmit personal information, including menstruation and pregnancy details, to companies like Google, Meta, and analytics firm Flurry.

The class-action case, filed in 2021 by plaintiff Erica Frasko and later consolidated with similar complaints, accused Flo of violating privacy laws by allowing user data to be intercepted via embedded software development kits (SDKs).

Google’s settlement, disclosed this week, covers users who inputted reproductive health data between November 2016 and February 2019.

While neither Flo nor Google admitted wrongdoing, the settlement avoids the uncertainty of a trial. A notice to claimants stated the resolution helps sidestep the costs and risks of prolonged litigation.

Meta, a co-defendant, opted to go to trial and was found liable in August for violating California’s Invasion of Privacy Act. A judge recently rejected Meta’s attempt to overturn that verdict.

According to The Record, the case has drawn significant attention from privacy advocates and the tech industry, highlighting the potential legal risks of data-sharing practices tied to ad-tracking technology.

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Brazil to host massive AI-ready data centre by RT-One

RT-One plans to build Latin America’s largest AI data centre after securing land in Uberlândia, Minas Gerais, Brazil. The US$1.2bn project will span over one million square metres, with 300,000 m² reserved as protected green space.

The site will support high-performance computing, sovereign cloud services, and AI workloads, launching with 100MW capacity and scaling to 400MW. It will run on 100% renewable energy and utilise advanced cooling systems to minimise its environmental impact.

RT-One states that the project will prepare Brazil to compete globally, generate skilled jobs, and train new talent for the digital economy. A wide network of partners, including Hitachi, Siemens, WEG, and Schneider Electric, is collaborating on the development, aiming to ensure resilience and sustainability at scale.

The project is expected to stimulate regional growth, with jobs, training programmes, and opportunities for collaboration between academia and industry. Local officials, including the mayor of Uberlândia, attended the launch event to underline government support for the initiative.

Once complete, the Uberlândia facility will provide sovereign cloud capacity, high-density compute, and AI-ready infrastructure for Brazil and beyond. RT-One says the development will position the city as a hub for digital innovation and strengthen Latin America’s role in the global AI economy.

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Meta expands global rollout of teen accounts for Facebook and Messenger

US tech giant Meta is expanding its dedicated teen accounts to Facebook and Messenger users worldwide, extending a safety system on Instagram. The move introduces more parental controls and restrictions to protect younger users on Meta’s platforms.

The accounts, now mandatory for teens, include stricter privacy settings that limit contact with unknown adults. Parents can supervise how their children use the apps, monitor screen time, and view who their teens are messaging.

For younger users aged 13 to 15, parental permission is required before adjusting safety-related settings. Meta is also deploying AI tools to detect teens lying about their age.

Alongside the global rollout, Instagram is expanding a school partnership programme in the US, allowing middle and high schools to report bullying and problematic behaviour directly.

The company says early feedback from participating schools has been positive, and the scheme is now open to all schools nationwide.

An expansion that comes as Meta faces lawsuits and investigations over its record on child safety. By strengthening parental controls and school-based reporting, the company aims to address growing criticism while tightening protections for its youngest users.

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UK to introduce mandatory digital ID for work

The UK government has announced plans to make digital ID mandatory for proving the right to work by the end of the current Parliament, expected no later than 2029. Prime Minister Sir Keir Starmer said the scheme would tighten controls on illegal employment while offering wider benefits for citizens.

The digital ID will be stored on smartphones in a format similar to contactless payment cards or the NHS app. It is expected to include core details such as name, date of birth, nationality or residency status, and a photo.

The system aims to provide a more consistent and secure alternative to paper-based checks, reducing the risk of forged documents and streamlining verification for employers.

Officials believe the scheme could extend beyond employment, potentially simplifying access to driving licences, welfare, childcare, and tax records.

A consultation later in the year will decide whether additional data, such as residential addresses, should be integrated. The government has also pledged accessibility for citizens unable to use smartphones.

The proposal has faced political opposition, with critics warning of privacy risks, administrative burdens, and fears of creating a de facto compulsory ID card system.

Despite these objections, the government argues that digital ID will strengthen border controls, counter the shadow economy, and modernise public service access.

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LinkedIn expands AI training with default data use

LinkedIn will use member profile data to train its AI systems by default from 3 November 2025. The policy, already in place in the US and select markets, will now extend to more regions, mainly for 18+ users who prefer not to share their information and must opt out manually via account settings.

According to LinkedIn, the types of data that may be used include account details, email addresses, payment and subscription information, and service-related data such as IP addresses, device IDs, and location information.

Once disabled, profiles will no longer be added to AI training, although information collected earlier may remain in the system. Users can request the removal of past data through a Data Processing Objection Form.

Meta and X have already adopted similar practices in the US, allowing their platforms to use user-generated posts for AI training. LinkedIn insists its approach complies with privacy rules but leaves the choice in members’ hands.

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Content Signals Policy by Cloudflare lets websites signal data use preferences

Cloudflare has announced the launch of its Content Signals Policy, a new extension to robots.txt that allows websites to express their preferences for how their data is used after access. The policy is designed to help creators maintain open content while preventing misuse by data scrapers and AI trainers.

The new tool enables website owners to specify, in a machine-readable format, whether they permit search indexing, AI input, or AI model training. Operators can set each signal to ‘yes,’ ‘no,’ or leave it blank to indicate no stated preference, providing them with fine-grained control over their responses.

Cloudflare says the policy tackles the free-rider problem, where scraped content is reused without credit. With bot traffic set to surpass human traffic by 2029, it calls for clear, standard rules to protect creators and keep the web open.

Customers already using Cloudflare’s managed robots.txt will have the policy automatically applied, with a default setting that allows search but blocks AI training. Sites without a robots.txt file can opt in to publish the human-readable policy text and add their own preferences when ready.

Cloudflare emphasises that content signals are not enforcement mechanisms but a means of communicating expectations. It is releasing the policy under a CC0 licence to encourage broad adoption and is working with standards bodies to ensure the rules are recognised across the industry.

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UK sets up expert commission to speed up NHS adoption of AI

Doctors, researchers and technology leaders will work together to accelerate the safe adoption of AI in the NHS, under a new commission launched by the Medicines and Healthcare products Regulatory Agency (MHRA).

The body will draft recommendations to modernise healthcare regulation, ensuring patients gain faster access to innovations while maintaining safety and public trust.

MHRA stressed that clear rules are vital as AI spreads across healthcare, already helping to diagnose conditions such as lung cancer and strokes in hospitals across the UK.

Backed by ministers, the initiative aims to position Britain as a global hub for health tech investment. Companies including Google and Microsoft will join clinicians, academics, and patient advocates to advise on the framework, expected to be published next year.

A commission that will also review the regulatory barriers slowing adoption of tools such as AI-driven note-taking systems, which early trials suggest can significantly boost efficiency in clinical care.

Officials say the framework will provide much-needed clarity for AI in radiology, pathology, and virtual care, supporting the digital transformation of NHS.

MHRA chief executive Lawrence Tallon called the commission a ‘cultural shift’ in regulation. At the same time, Technology Secretary Liz Kendall said it will ensure patients benefit from life-saving technologies ‘quickly and safely’.

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Expanded AI model support arrives in Microsoft 365 Copilot

Microsoft is expanding the AI models powering Microsoft 365 Copilot by adding Anthropic’s Claude Sonnet 4 and Claude Opus 4.1. Customers can now choose between OpenAI and Anthropic models for research, deep reasoning, and agent building across Microsoft 365 tools.

The Researcher agent can now run on Anthropic’s Claude Opus 4.1, giving users a choice of models for in-depth analysis. The Researcher draws on web sources, trusted third-party data, and internal work content—encompassing emails, chats, meetings, and files—to deliver tailored, multistep reasoning.

Claude Sonnet 4 and Opus 4.1 are also available in Copilot Studio, enabling the creation of enterprise-grade agents with flexible model selection. Users can mix Anthropic, OpenAI, and Azure Model Catalogue models to power multi-agent workflows, automate tasks, and manage agents efficiently.

Claude in Researcher is rolling out today to Microsoft 365 Copilot-licensed customers through the Frontier Program. Customers can also use Claude models in Copilot Studio to build and orchestrate agents.

Microsoft says this launch is part of its strategy to bring the best AI innovation across the industry to Copilot. More Anthropic-powered features will roll out soon, strengthening Copilot’s role as a hub for enterprise AI and workflow transformation.

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Quantum-classical hybrid outperforms, according to HSBC and IBM study

HSBC and IBM have reported the first empirical evidence of the value of quantum computers in solving real-world problems in bond trading. Their joint trial showed a 34% improvement in predicting the likelihood of a trade being filled at a quoted price compared to classical-only techniques.

The trial used a hybrid approach that combined quantum and classical computing to optimise quote requests in over-the-counter bond markets. Production-scale trading data from the European corporate bond market was run on IBM quantum computers to predict winning probabilities.

The results demonstrate how quantum techniques can outperform standard methods in addressing the complex and dynamic factors in algorithmic bond trading. HSBC said the findings offer a competitive edge and could redefine how the financial industry prices customer inquiries.

Philip Intallura, HSBC Group Head of Quantum Technologies, called the trial ‘a ground-breaking world-first in bond trading’. He said the results show that quantum computing is on the cusp of delivering near-term value for financial services.

IBM’s latest Heron processor played a key role in the workflow, augmenting classical computation to uncover hidden pricing signals in noisy data. IBM said such work helps unlock new algorithms and applications that could transform industries as quantum systems scale.

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YouTube rolls back rules on Covid-19 and 2020 election misinformation

Google’s YouTube has announced it will reinstate accounts previously banned for repeatedly posting misinformation about Covid-19 and the 2020 US presidential election. The decision marks another rollback of moderation rules that once targeted health and political falsehoods.

The platform said the move reflects a broader commitment to free expression and follows similar changes at Meta and Elon Musk’s X.

YouTube had already scrapped policies barring repeat claims about Covid-19 and election outcomes, rules that had led to actions against figures such as Robert F. Kennedy Jr.’s Children’s Health Defense Fund and Senator Ron Johnson.

An announcement that came in a letter to House Judiciary Committee Chair Jim Jordan, amid a Republican-led investigation into whether the Biden administration pressured tech firms to remove certain content.

YouTube claimed the White House created a political climate aimed at shaping its moderation, though it insisted its policies were enforced independently.

The company said that US conservative creators have a significant role in civic discourse and will be allowed to return under the revised rules. The move highlights Silicon Valley’s broader trend of loosening restrictions on speech, especially under pressure from right-leaning critics.

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