Life sciences face rising pressure as regulators change expectations

Regulatory uncertainty has long shaped life sciences, but 2025 marked a shift in expectations. Authorities are focusing more on how companies operate in practice. Enforcement activity continues to signal sustained scrutiny.

Regulators across federal and state agencies are coordinating more closely. Attention is centred on digital system validation, AI-supported documentation, reimbursement processes, and third-party oversight. Flexibility in digital tools is no longer assumed.

Inspection priorities now extend beyond manufacturing quality. Regulators are examining governance of automated analyses, review of AI-generated records, and data consistency in decentralised trials. Clear documentation is becoming critical.

A similar shift is visible in reimbursement and data oversight. Authorities want insight into governance behind pricing, reporting, and data handling. Privacy enforcement now focuses on data flows, AI training data, and third-party access.

Looking ahead to 2026, scrutiny is expected to intensify around AI inspection standards and data sharing. Regulators are signalling higher expectations for transparency and accountability. Sound judgement and consistency may prove decisive.

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AI growth changes the cycle for memory chip manufacturers

The growing demand for AI is reshaping the fortunes of the memory chip industry, according to leading manufacturers, who argue that the scale of AI investment is altering the sector’s typical boom-and-bust pattern.

The technology is creating more structural demand, rather than the sharp cyclical spikes that previously defined the market.

AI workloads depend heavily on robust memory systems, particularly as companies expand data centre capacity worldwide. Major chipmakers now expect steadier growth because AI models require vast data handling rather than one-off hardware surges.

Analysts suggest it could reduce the volatility that has often led to painful downturns for the industry.

Additionally, some reports claim that Japanese technology group Rakuten is prioritising low-cost AI development to improve profitability across its businesses.

Its AI leadership stresses the need to deploy systems that maximise margins instead of simply chasing capability for its own sake.

The developments underscore how AI is not only transforming software and services but also reshaping the economics of the hardware required to power them, from memory chips to cloud infrastructure on a global scale.

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Facial recognition trial targets repeat offenders in New Zealand supermarkets

Teenagers account for most of the serious threats reported against supermarket staff across South Island stores, according to a privacy report released on Foodstuffs South Island’s facial recognition trial.

The company is testing the technology in three Christchurch supermarkets to identify only adult repeat offenders, rather than minors, even though six out of the ten worst offenders are under eighteen.

A system that creates a biometric template of every shopper at the trial stores and deletes it if there is no match with a watchlist. Detections remain stored within the Auror platform for seven years, while personal images are deleted on the same day.

The technology is supplied by the Australian firm Vix Vizion, in collaboration with Auror, which is already known for its vehicle plate recognition systems.

Foodstuffs argues the trial is justified by rising threatening and violent behaviour towards staff across all age groups.

A previous North Island pilot scanned 226 million faces and generated more than 1700 alerts, leading the Privacy Commissioner of New Zealand to conclude that strong safeguards could reduce privacy intrusion to an acceptable level.

The watchlist only includes adults previously involved in violence or serious threats, and any matches undergo human checks before action is taken.

Foodstuffs continues to provide regular updates to the Office of the Privacy Commissioner as the South Island trial proceeds.

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Russian Central Bank outlines new rules for crypto investors

The Central Bank of Russia has introduced a detailed proposal aimed at bringing cryptocurrencies under a unified regulatory framework, marking a significant step towards formal legal recognition of digital assets.

Under the proposal, both qualified and non-qualified investors would be permitted to purchase cryptocurrencies. Investor status would be determined by factors such as education, professional background, income level, and asset holdings.

Non-qualified investors would be restricted to buying up to 300,000 roubles worth of crypto per year through authorised intermediaries.

Digital currencies and stablecoins would be classified as currency values under Russian law, yet their use as a means of payment for goods and services would remain prohibited. The framework maintains the state’s long-standing opposition to domestic crypto payments.

Russian residents would also gain the right to purchase and transfer crypto assets abroad, provided such transactions are reported to the Federal Tax Service. The central bank aims to finalise the legislative groundwork by 1 July 2026.

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Fake weight loss adverts removed from TikTok

TikTok removed fake adverts for weight loss drugs after a company impersonating UK retailer Boots used AI-generated videos. The clips falsely showed healthcare professionals promoting prescription-only medicines.

Boots said it contacted TikTok after becoming aware of the misleading adverts circulating on the platform. TikTok confirmed the videos were removed for breaching its rules on deceptive and harmful advertising.

BBC reporting found the account was briefly able to repost the same videos before being taken down. The account appeared to be based in Hong Kong and directed users to a website selling the drugs.

UK health regulators warned that prescription-only weight loss medicines must only be supplied by registered pharmacies. TikTok stated that it continues to strengthen its detection systems and bans the promotion of controlled substances.

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AIOLIA framework translates AI principles into system design

An EU-funded project, AIOLIA, is examining how Europe’s approach to trustworthy AI can be applied in practice. Principles such as transparency and accountability are embedded in the AI Act’s binding rules. Turning those principles into design choices remains difficult.

The project focuses on closing that gap by analysing how AI ethics is applied in real systems. Its work supports the implementation of AI Act requirements beyond legal text. Lessons are translated into practical training.

Project coordinator Alexei Grinbaum argues that ethical principles vary widely by context. Engineers are expected to follow them, but implications differ across systems. Bridging the gap requires concrete examples.

AIOLIA analyses ten use cases across multiple domains involving professionals and citizens. The project examines how organisations operationalise ethics under regulatory and organisational constraints. Findings highlight transferable practices without a single model.

Training is central to the initiative, particularly for EU ethics evaluators and researchers working under the AI Act framework. As AI becomes more persuasive, risks around manipulation grow. AIOLIA aims to align ethical language with daily decisions.

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Atlas agent mode fortifies OpenAI’s ChatGPT security

ChatGPT Atlas has introduced an agent mode that allows an AI browser agent to view webpages and perform actions directly. The feature supports everyday workflows using the same context as a human user. Expanded capability also increases security exposure.

Prompt injection has emerged as a key threat to browser-based agents, targeting AI behaviour rather than software flaws. Malicious instructions embedded in content can redirect an agent from the user’s intended action. Successful attacks may trigger unauthorised actions.

To address the risk, OpenAI has deployed a security update to Atlas. The update includes an adversarially trained model and strengthened safeguards. It followed internal automated red teaming.

Automated red teaming uses reinforcement learning to train AI attackers that search for complex exploits. Simulations test how agents respond to injected prompts. Findings are used to harden models and system-level defences.

Prompt injection is expected to remain a long-term security challenge for AI agents. Continued investment in testing, training, and rapid mitigation aims to reduce real-world risk. The goal is to achieve reliable and secure AI assistance.

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AI app Splat turns photos into colouring pages for children

Splat is a new mobile app from the team behind Retro that uses generative AI to transform personal photos into colouring pages designed for children. The app targets parents seeking creative activities, free from advertising clutter and pay-per-page websites.

Users can upload images from their camera roll or select from curated educational categories, then apply styles such as cartoon, anime or comic.

Parents guide the initial setup through simple preferences instead of a lengthy account creation process, while children can colour either on-screen or on printed pages.

Splat operates on a subscription basis, offering weekly or annual plans that limit the number of generated pages. Access to payments and settings is restricted behind parental verification, helping prevent accidental purchases by younger users.

The app reflects a broader trend in applying generative AI to child-friendly creativity tools. By focusing on ease of use and offline activities, Splat positions itself as an alternative to screen-heavy entertainment while encouraging imaginative play.

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Florida moves ahead with new AI Bill of Rights

Florida lawmakers are preparing a sweeping AI Bill of Rights as political debates intensify. Senator Tom Leek introduced a proposal to provide residents with clearer safeguards while regulating how firms utilise advanced systems across the state.

The plan outlines parental control over minors’ interactions with AI and requires disclosure when people engage with automated systems. It also sets boundaries on political advertising created with AI and restricts state contracts with suppliers linked to countries of concern.

Governor Ron DeSantis maintains Florida can advance its agenda despite federal attempts to curb state-level AI rules. He argues the state has the authority to defend consumers while managing the rising costs of new data centre developments.

Democratic lawmakers have raised concerns about young users forming harmful online bonds with AI companions, prompting calls for stronger protections. The legislation now forms part of a broader clash over online safety, privacy rights and fast-growing AI industries.

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Italy fines Apple €98 million over App Store competition breach

Apple has been fined €98 million by Italy’s competition authority after regulators concluded that its App Tracking Transparency framework distorted competition in the app store market.

Authorities stated that the policy strengthened Apple’s dominant position while limiting how third-party developers collect advertising data.

The investigation found that developers were required to request consent multiple times for the same data processing purposes, creating friction that disproportionately affected competitors.

Regulators in Italy argued that equivalent privacy protections could have been achieved through a single consent mechanism instead of duplicated prompts.

According to the Italian authority, the rules were imposed unilaterally across the App Store ecosystem and harmed commercial partners reliant on targeted advertising. The watchdog also questioned whether the policy was proportionate from a data protection perspective under the EU law.

Apple rejected the findings and confirmed plans to appeal, stating that App Tracking Transparency prioritises user privacy over the interests of ad technology firms.

The decision follows similar penalties and warnings issued in France and Germany, reinforcing broader European scrutiny of platform governance.

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