Privacy and data protection

Mitigated ads personalisation coming to Meta platforms in the EU

Meta has agreed to introduce a less personalised ads option for Facebook and Instagram users in the EU, as part of efforts to comply with the bloc’s Digital Markets Act and address concerns over data use and user consent.

Under the revised model, users will be able to access Meta’s social media platforms without agreeing to extensive personal data processing for fully personalised ads. Instead, they can opt for an alternative experience based on significantly reduced data inputs, resulting in more limited ad targeting.

The option is set to roll out across the EU from January 2026. It marks the first time Meta has offered users a clear choice between highly personalised advertising and a reduced-data model across its core platforms.

The change follows months of engagement between Meta and Brussels after the European Commission ruled in April that the company had breached the DMA. Regulators stated that Meta’s previous approach had failed to provide users with a genuine and effective choice over how their data was used for advertising.

Once implemented, the Commission said it will gather evidence and feedback from Meta, advertisers, publishers, and other stakeholders. The goal is to assess the extent to which the new option is adopted and whether it significantly reshapes competition and data practices in the EU digital advertising market.

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Google faces renewed EU scrutiny over AI competition

The European Commission has opened a formal antitrust investigation into whether AI features embedded in online search are being used to unfairly squeeze competitors in newly emerging digital markets shaped by generative AI.

The probe targets Alphabet-owned Google, focusing on allegations that the company imposes restrictive conditions on publishers and content creators while giving its own AI-driven services preferential placement over rival technologies and alternative search offerings.

Regulators are examining products such as AI Overviews and AI Mode, assessing how publisher content is reused within AI-generated summaries and whether media organisations are compensated in a clear, fair, and transparent manner.

EU competition chief Teresa Ribera said the European Commission’s action reflects a broader effort to protect online media and preserve competitive balance as artificial intelligence increasingly shapes how information is produced, discovered, and monetised.

The case adds to years of scrutiny by the European Commission over Google’s search and advertising businesses, even as the company proposes changes to its ad tech operations and continues to challenge earlier antitrust rulings.

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Russia moves forward with a nationwide plan for generative AI

A broad plan to integrate generative AI across public administration and key sectors of the economy is being prepared by Russia.

Prime Minister Mikhail Mishustin explained that the new framework seeks to extend modern AI tools across regions and major industries in order to strengthen national technological capacity.

The president has already underlined the need for fully domestic AI products as an essential element of national sovereignty. Moscow intends to rely on locally developed systems instead of foreign platforms, an approach aimed at securing long-term independence and resilience.

A proposal created by the government and the Presidential Administration has been submitted for approval to establish a central headquarters that will guide the entire deployment effort.

The new body will set objectives, track progress and coordinate work across ministries and agencies while supporting broader access to advanced capabilities.

Officials in Russia view the plan as a strategic investment intended to reinforce national competitiveness in a rapidly changing technological environment.

Greater use of generative systems is expected to improve administrative efficiency, support regional development and encourage innovation across multiple sectors.

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Survey reveals split views on AI in academic peer review

Growing use of generative AI within peer review is creating a sharp divide among physicists, according to a new survey by the Institute of Physics Publishing.

Researchers appear more informed and more willing to express firm views, with a notable rise in those who see a positive effect and a large group voicing strong reservations. Many believe AI tools accelerate early reading and help reviewers concentrate on novelty instead of routine work.

Others fear that reviewers might replace careful evaluation with automated text generation, undermining the value of expert judgement.

A sizeable proportion of researchers would be unhappy if AI-shaped assessments of their own papers, even though many quietly rely on such tools when reviewing for journals. Publishers are now revisiting their policies, yet they aim to respect authors who expect human-led scrutiny.

Editors also report that AI-generated reports often lack depth and fail to reflect domain expertise. Concerns extend to confidentiality, with organisations such as the American Physical Society warning that uploading manuscripts to chatbots can breach author trust.

Legal disputes about training data add further uncertainty, pushing publishers to approach policy changes with caution.

Despite disagreements, many researchers accept that AI will remain part of peer review as workloads increase and scientific output grows. The debate now centres on how to integrate new tools in a way that supports researchers instead of weakening the foundations of scholarly communication.

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Instacart deepens partnership with OpenAI for real-time AI shopping

OpenAI and Instacart are expanding their longstanding collaboration by introducing a fully integrated grocery shopping experience inside ChatGPT.

Users can receive meal inspiration, browse products and place orders in one continuous conversation instead of switching across separate platforms.

A service that brings together Instacart’s real-time retail network with OpenAI’s most advanced models to produce an experience that feels like a direct link between a simple request and completed delivery.

The Instacart app becomes the first service to offer a full checkout flow inside ChatGPT by using the Agentic Commerce Protocol. When users mention food, ingredients or recipe ideas, ChatGPT can surface the app immediately.

Once the user connects an Instacart account, the system selects suitable items from nearby retailers and builds a complete cart that can be reviewed before payment. Users then pay securely inside the chat while Instacart manages collection and delivery through its established network.

The update also reflects broader cooperation between the two companies. Instacart continues to rely on OpenAI APIs to support personalised suggestions and real time guidance across its customer experience.

ChatGPT Enterprise assists internal teams, while Codex powers an internal coding agent that shortens development cycles instead of slowing them down with manual tasks. The partnership builds on Instacart’s early involvement in the Operator research preview, where it helped refine emerging agentic technologies.

A renewed partnership that strengthens OpenAI’s growing enterprise ecosystem. The company already works with major global brands across sectors such as retail, financial services and telecommunications.

The Instacart integration offers a view of how conversational agents may act as a bridge between everyday intent and immediate real-world action.

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Growing app restrictions hit ByteDance’s AI smartphone rollout

ByteDance is facing mounting pushback after major Chinese apps restricted how its agentic AI smartphone can operate across their platforms. Developers moved to block or limit Doubao, the device’s voice-driven assistant, following concerns about automation, security and transactional risks.

Growing reports from early adopters describe locked accounts, interrupted payments and app instability when Doubao performs actions autonomously. ByteDance has responded by disabling the assistant’s access to financial services, rewards features and competitive games while collaborating with app providers to establish clearer guidelines.

The Nubia M153, marketed as an experimental device, continues to attract interest for its hands-free interface, even as privacy worries persist over its device-wide memory system. Its long-term success hinges on whether China’s platforms and regulators can align with ByteDance’s ambitions for seamless, AI-powered smartphone interaction.

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New interview study tracks how workers adapt to AI

Anthropic has unveiled Anthropic Interviewer, an AI-driven tool for large-scale workplace interviews. The system used Claude to conduct 1,250 structured interviews with professionals across the general workforce, creative fields and scientific research.

In surveys, 86 percent said AI saves time and 65 percent felt satisfied with its role at work. Workers often hoped to automate routine tasks while preserving responsibilities that define their professional identity.

Creative workers reported major time savings and quality gains yet faced stigma and economic anxiety around AI use. Many hid AI tools from colleagues, feared market saturation and still insisted on retaining creative control.

Across groups, professionals imagined careers where humans oversee AI systems rather than perform every task themselves. Anthropic plans to keep using Anthropic Interviewer to track attitudes and inform future model design.

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Japan weighs easing rules on personal data use

Japan is preparing to relax restrictions on personal data use to support rapid AI development. Government sources say a draft bill aims to expand third-party access to sensitive information.

Plans include allowing medical histories and criminal records to be obtained without consent for statistical purposes. Japanese officials argue such access could accelerate research while strengthening domestic competitiveness.

New administrative fines would target companies that profit from unlawfully acquired data affecting large groups. Penalties would match any gains made through misconduct, reflecting growing concern over privacy abuses.

A government panel has reviewed the law since 2023 and intends to present reforms soon. Debate is expected to intensify as critics warn of increased risks to individual rights if support for AI development in this regard continues.

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Australia seals $4.6 billion deal for new AI hub

OpenAI has partnered with Australian data centre operator NextDC to build a major AI campus in western Sydney. The companies signed an agreement covering development, planning and long-term operation of the vast site.

NextDC said the project will include a supercluster of graphics processors to support advanced AI workloads. Both firms intend to create infrastructure capable of meeting rapid global demand for high-performance computing.

Australia estimates the development at A$7 billion and forecasts thousands of jobs during construction and ongoing roles across engineering and operations. Officials say the initiative aligns with national efforts to strengthen technological capability.

Plans feature renewable energy procurement and cooling systems that avoid drinking water use, addressing sustainability concerns. Treasurer Jim Chalmers said the project reflects growing confidence in Australia’s talent, clean energy capacity and emerging AI economy.

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Noyb study points to demand for tracking-free option

A new study commissioned by noyb reports that most users favour a tracking-free advertising option when navigating Pay or Okay systems. Researchers found low genuine support for data collection when participants were asked without pressure.

Consent rates rose sharply when users were presented only with payment or agreement to tracking, leading most to select consent. Findings indicate that the absence of a realistic alternative shapes outcomes more than actual preference.

Introduction of a third option featuring advertising without tracking prompted a strong shift, with most participants choosing that route. Evidence suggests users accept ad-funded models provided their behavioural data remains untouched.

Researchers observed similar patterns on social networks, news sites and other platforms, undermining claims that certain sectors require special treatment. Debate continues as regulators assess whether Pay or Okay complies with EU data protection rules such as the GDPR.

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