Healthcare faces growing compliance pressure from AI adoption

AI is becoming a practical tool across healthcare as providers face rising patient demand, chronic disease and limited resources.

These AI systems increasingly support tasks such as clinical documentation, billing, diagnostics and personalised treatment instead of relying solely on manual processes, allowing clinicians to focus more directly on patient care.

At the same time, AI introduces significant compliance and safety risks. Algorithmic bias, opaque decision-making, and outdated training data can affect clinical outcomes, raising questions about accountability when errors occur.

Regulators are signalling that healthcare organisations cannot delegate responsibility to automated systems and must retain meaningful human oversight over AI-assisted decisions.

Regulatory exposure spans federal and state frameworks, including HIPAA privacy rules, FDA oversight of AI-enabled medical devices and enforcement under the False Claims Act.

Healthcare providers are expected to implement robust procurement checks, continuous monitoring, governance structures and patient consent practices as AI regulation evolves towards a more coordinated national approach.

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US platforms signal political shift in DSA risk reports

Major online platforms have submitted their 2025 systemic risk assessments under the Digital Services Act as the European Commission moves towards issuing its first fine against a Very Large Online Platform.

The reports arrive amid mounting political friction between Brussels and Washington, placing platform compliance under heightened scrutiny on both regulatory and geopolitical fronts.

Several US-based companies adjusted how risks related to hate speech, misinformation and diversity are framed, reflecting political changes in the US while maintaining formal alignment with EU law.

Meta softened enforcement language, reclassified hate speech under broader categories and reduced visibility of civil rights structures, while continuing to emphasise freedom of expression as a guiding principle.

Google and YouTube similarly narrowed references to misinformation, replaced established terminology with less charged language and limited enforcement narratives to cases involving severe harm.

LinkedIn followed comparable patterns, removing references to earlier commitments on health misinformation, civic integrity and EU voluntary codes that have since been integrated into the DSA framework.

X largely retained its prior approach, although its report continues to reference cooperation with governments and civil society that contrasts with the platform’s public positioning.

TikTok diverged from other platforms by expanding disclosures on hate speech, election integrity and fact-checking, likely reflecting its vulnerability to regulatory action in both the EU and the US.

European regulators are expected to assess whether these shifts represent genuine risk mitigation or strategic alignment with US political priorities.

As systemic risk reports increasingly inform enforcement decisions, subtle changes in language, scope and emphasis may carry regulatory consequences well beyond their formal compliance function.

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OpenAI adds pinned chat feature to ChatGPT apps

The US tech company, OpenAI, has begun rolling out a pinned chats feature in ChatGPT across web, Android and iOS, allowing users to keep selected conversations fixed at the top of their chat history for faster access.

The function mirrors familiar behaviour from messaging platforms such as WhatsApp and Telegram instead of requiring repeated scrolling through past chats.

Users can pin a conversation by selecting the three-dot menu on the web or by long-pressing on mobile devices, ensuring that essential discussions remain visible regardless of how many new chats are created.

An update that follows earlier interface changes aimed at helping users explore conversation paths without losing the original discussion thread.

Alongside pinned chats, OpenAI is moving ChatGPT toward a more app-driven experience through an internal directory that allows users to connect third-party services directly within conversations.

The company says these integrations support tasks such as bookings, file handling and document creation without switching applications.

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Russia considers restoring Roblox access after compliance talks

Roblox has signalled willingness to comply with Russian law, opening the possibility of the platform being unblocked in Russia following earlier access restrictions.

Roskomnadzor stated that cooperation could resume if Roblox demonstrates concrete steps instead of declarations towards meeting domestic legal requirements.

The regulator said Roblox acknowledged shortcomings in moderating game content and ensuring the safety of user chats, particularly involving minors.

Russian authorities stressed that compliance would require systematic measures to remove harmful material and prevent criminal communication rather than partial adjustments.

Access to Roblox was restricted in early December after officials cited the spread of content linked to extremist and terrorist activity.

Roskomnadzor indicated that continued engagement and demonstrable compliance could allow the platform to restore operations under the regulatory oversight of Russia.

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OpenAI expands AI training for newsrooms worldwide

The US tech company, OpenAI, has launched the OpenAI Academy for News Organisations, a new learning hub designed to support journalists, editors and publishers adopting AI in their work.

An initiative that builds on existing partnerships with the American Journalism Project and The Lenfest Institute for Journalism, reflecting a broader effort to strengthen journalism as a pillar of democratic life.

The Academy goes live with practical training, newsroom-focused playbooks and real-world examples aimed at helping news teams save time and focus on high-impact reporting.

Areas of focus include investigative research, multilingual reporting, data analysis, production efficiency and operational workflows that sustain news organisations over time.

Responsible use sits at the centre of the programme. Guidance on governance, internal policies and ethical deployment is intended to address concerns around trust, accuracy and newsroom culture, recognising that AI adoption raises structural questions rather than purely technical ones.

OpenAI plans to expand the Academy in the year ahead with additional courses, case studies and live programming.

Through collaboration with publishers, industry bodies and journalism networks worldwide, the Academy is positioned as a shared learning space that supports editorial independence while adapting journalism to an AI-shaped media environment.

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Meta updates AI glasses with voice and music features

Meta has updated its AI smart glasses with a conversation-focused feature that amplifies voices in noisy environments. Users can adjust the volume by swiping to the right on the temple or through device settings.

The conversation-focused feature is designed for busy environments such as restaurants, trains or bars. It is similar to Apple AirPods’ Conversation Boost, which helps users focus on a single speaker.

The update also adds Spotify integration, allowing the glasses to play songs based on what the wearer sees, such as an album cover or festive decorations. The feature links visual cues with interactive actions in apps.

The software update (v21) will initially roll out to participants in Meta’s Early Access Program. The conversation-focused feature will initially be available in the US and Canada, while the Spotify feature is offered in English across multiple markets.

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Google launches Gemini 3 Flash for scalable frontier AI

The US tech giant, Google, has unveiled Gemini 3 Flash, a new frontier AI model designed for developers who need high reasoning performance combined with speed and low cost.

Built on the multimodal and agentic foundations of Gemini 3 Pro, Gemini 3 Flash delivers faster responses at less than a quarter of the price, while surpassing Gemini 2.5 Pro across several major benchmarks.

The model is rolling out through the Gemini API, Google AI Studio, Vertex AI, Android Studio and other developer platforms, offering higher rate limits, batch processing and context caching that significantly reduce operational costs.

Gemini 3 Flash achieves frontier-level results on advanced reasoning benchmarks while remaining optimised for large-scale production workloads, reinforcing Google’s focus on efficiency alongside intelligence.

Early adopters are already deploying Gemini 3 Flash across coding, gaming, deepfake detection and legal document analysis, benefiting from improved agentic capabilities and near real-time multimodal reasoning.

By lowering cost barriers while expanding performance, Gemini 3 Flash enhances Google’s competitive position in the rapidly evolving AI model market. It broadens access to advanced AI systems for developers and enterprises.

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New AI agent helps organise your day

Google Labs has introduced CC, an experimental AI productivity agent designed to help users stay organised and improve daily efficiency. The agent connects with Gmail, Google Calendar, Google Drive, and the wider web to gain an understanding of each user’s day.

Each morning, CC delivers a ‘Your Day Ahead’ briefing to users’ inboxes, summarising schedules, key tasks, and updates. It can draft emails, generate calendar links, and highlight next steps, making it easier to manage appointments, bills, and other responsibilities.

Users can interact with CC directly by replying to emails or sending custom requests, allowing the AI to learn personal preferences, store ideas, and remember tasks. The interactive approach helps the AI agent become more tailored to individual workflows over time.

CC is available in early access for Google consumer accounts aged 18 and over in the US and Canada, initially for Google AI Ultra and paid subscribers. Those interested can join the waitlist via the Google Labs website to gain early access.

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AI shows promise in scientific research tasks

FrontierScience, a new benchmark from OpenAI, evaluates AI capabilities for expert-level scientific reasoning across physics, chemistry, and biology.

The benchmark measures Olympiad-style reasoning and real-world research tasks, showing how AI can aid complex scientific workflows. Generative AI models like GPT‑5 are now used for literature searches, complex proofs, and tasks that once took days or weeks.

The benchmark consists of two tracks: FrontierScience-Olympiad, with 100 questions created by international Olympiad medalists to assess constrained scientific reasoning, and FrontierScience-Research, with 60 multi-step research tasks developed by PhD scientists.

Initial evaluations show GPT‑5.2 scoring 77% on the Olympiad set and 25% on the Research set, outperforming other frontier models. The results show AI can support structured scientific reasoning but still struggles with open-ended problem solving and hypothesis generation.

FrontierScience also introduces a grading system tailored to each track. The Olympiad set uses short-answer verification, while the Research set employs a 10-point rubric assessing both final answers and intermediate reasoning steps.

Model-based grading allows for scalable evaluation of complex tasks, although human expert oversight remains ideal. Analyses reveal that AI models still make logic, calculation, and factual errors, particularly with niche scientific concepts.

While FrontierScience does not capture every aspect of scientific work, it provides a high-resolution snapshot of AI performance on difficult, expert-level problems. OpenAI plans to refine the benchmark, extend it to new domains, and combine it with real-world tests to track AI’s impact on scientific discovery.

The ultimate measure of success remains the novel insights and discoveries AI can help generate for the scientific community.

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E-commerce transformation through blockchain technology

Understanding blockchain technology

Blockchain technology emerged from the 2008 Bitcoin white paper as a radical approach to storing and verifying information. A blockchain is a distributed ledger maintained across a decentralised network of computers.

Each participant holds a full or partial copy of the ledger, and each new record is grouped into a block that is linked to previous blocks through cryptographic hashing. The system ensures immutability because any alteration of a record demands the recalculation of every subsequent block.

That requirement becomes practically impossible when the ledger is distributed across thousands of nodes. Trust is achieved through consensus algorithms that validate transactions without a central authority.

The most widely used consensus mechanisms include Proof of Work and Proof of Stake. Both ensure agreement on transaction validity, although they differ significantly in computational intensity and energy consumption.

Encryption techniques and smart contracts provide additional features. Smart contracts operate as self-executing pieces of code recorded on a blockchain. Once agreed parameters are met, they automatically trigger actions such as payments or product releases.

Blockchain technology, therefore, functions not only as a secure ledger but as an autonomous execution environment for digital agreements.

The valuable property arises from decentralisation. Instead of relying on a single organisation to safeguard information, the system spreads responsibility and ownership across the network.

Fraud becomes more difficult, data availability improves, and censorship resistance increases. These characteristics attracted early adopters in finance, although interest soon expanded into supply chain management, healthcare, digital identity systems and electronic commerce.

The transparency, traceability and programmability of blockchain technology introduced new possibilities for verifying transactions, enforcing rules, and reducing dependencies on intermediaries. These properties made it appealing for online markets that require trust between large numbers of strangers.

Overview of major global e-commerce platforms

An e-commerce platform is a digital environment that enables businesses and individuals to buy and sell goods or services online. It provides essential functions such as product listings, payment processing, inventory management, customer support and logistics integration.

Instead of handling each function independently, sellers rely on the platform’s infrastructure to reach customers, manage transactions and ensure secure and reliable delivery.

E-commerce platforms have evolved rapidly over the last two decades and now operate as global digital ecosystems. Companies such as Amazon, Alibaba, eBay, Shopify, and Mercado Libre dominate much of the global market.

shopper using computer laptop input order with trolley credit card delivery truck online shopping ecommerce technology concept

Each platform has built its success on efficient logistics, secure payment systems, powerful search technologies, recommendation algorithms and extensive third-party seller networks. Yet each platform depends on centralised data systems that assign authority to the platform operator.

Amazon functions as an all-in-one marketplace, logistics provider, and cloud infrastructure supplier. Sellers rely on Amazon for product storage, fulfilment, payments, advertising and customer trust.

The centralised structure enables Amazon to deliver high service reliability and instant refunds, while granting Amazon significant control over pricing, competition and data.

Alibaba operates a two-tiered system with Alibaba.com serving business-to-business (B2B) trade and AliExpress catering to international consumers. Its platforms rely on Alipay for secure transactions and on vast networks of Chinese suppliers.

Alibaba uses an AI-driven tool to manage inventory, fraud detection and personalised recommendations. The centralised model allows for strong coordination across sellers and logistics partners, although concerns often arise around counterfeits and data visibility.

eBay uses an auction and fixed-price model that supports both personal resales and professional merchants. It depends heavily on reputation systems and buyer protection schemes.

Dispute resolution and payment management were traditionally run through PayPal, later reintegrated into eBay’s own system. Although decentralised in terms of sellers, eBay remains centralised in its enforcement and decision-making.

Shopify functions as an infrastructure provider rather than a marketplace. Merchants build their own shops using Shopify’s tools, integrate third-party apps and manage independent payment gateways through Shopify Payments.

Although more decentralised on the surface, Shopify still holds the core infrastructure and retains ultimate authority over store policies.

Across all major e-commerce platforms, centralisation creates efficiency, but it also produces trust bottlenecks. Buyers depend on the platform operator to verify sellers, protect funds and manage refunds. Sellers depend on the operator for traffic, transaction processing and dispute management.

Power inequalities emerge because the platform controls data flows and marketplace rules. That environment encourages exploration of blockchain-based alternatives that seek to distribute trust, reduce intermediaries and automate verification.

How blockchain technology intersects with e-commerce

The relationship between blockchain technology and e-commerce can be divided into several major areas that reflect attempts to solve persistent problems within online marketplaces. Each area demonstrates how decentralised technology is reshaping trust and coordination instead of relying on central authorities.

Let’s dive into some examples.

Payments and digital currencies

The earliest impact arose from blockchain-based digital currencies. Platforms such as Overstock and Shopify began accepting Bitcoin and other cryptocurrencies as alternative payment methods.

bitcoin keyboard

Acceptance was driven by lower transaction fees compared to credit card networks, the elimination of chargebacks and faster cross-border payments. Buyers gained autonomy by being able to transact without banks, while sellers reduced exposure to fraudulent chargebacks.

Stablecoins further extended the utility of blockchain payments by reducing volatility through pegs to traditional currencies. Platforms started experimenting with stablecoin settlements that allow rapid international payments without the delays or costs of traditional banking infrastructure.

For cross-border commerce, stablecoins offer a major advantage because buyers and sellers located in different financial systems can transact directly.

While integration remains limited across mainstream platforms, blockchain wallets and cryptocurrency gateways illustrate how decentralised finance can complement e-commerce rather than replacing it.

Major challenges include regulatory uncertainty, fluctuating exchange rates, tax complexity and limited consumer familiarity.

Supply chain transparency and product authenticity

Blockchain technology provides auditable and immutable records that improve supply chain transparency. Companies such as Walmart, Carrefour and Alibaba have introduced blockchain-based tracking systems to verify product origins.

For high-value items including luxury goods, pharmaceuticals or speciality foods, authenticity is critical. A blockchain tracker records each stage of production and logistics from raw materials to retail delivery. Consumers can verify product history by scanning a QR code that accesses the ledger.

E-commerce platforms benefit because trust increases. Sellers find it easier to demonstrate the legitimacy of products, and counterfeit goods become easier to identify. Instead of depending solely on platform reputation systems, transparency is shifted to verifiable data that cannot be easily altered.

E-commerce, therefore, gains an additional trust layer through blockchain-backed provenance.

Decentralised marketplaces

A newer development involves decentralised e-commerce marketplaces built directly on blockchain networks. Platforms such as OpenBazaar, Origin Protocol, Boson Protocol and various Web3 retail experiments allow for peer-to-peer trade without central operators.

Smart contracts automate escrow, dispute handling, and payments. Buyers acquire goods by locking funds in a smart contract, sellers ship items and final confirmation releases payment.

The model reduces fees because no central operator takes commissions. Governance becomes community-driven through token-based voting. Control over seller data, reputation, and transactions is shared across the network instead of being held by a corporation.

Although adoption remains small compared to conventional platforms, decentralised marketplaces demonstrate how blockchain could transform current power structures in e-commerce.

Significant obstacles remain. Users must manage digital wallets, transaction costs fluctuate with network activity, and the user experience often feels less polished than that of mainstream platforms.

sending money paying online online shopping buying online online banking digital wallet mobile

Without strong brand recognition, trust formation is slower. Nevertheless, the model indicates how blockchain could enable marketplaces that operate without dominant intermediaries.

Smart contracts and automated commerce

Smart contracts provide automated enforcement of agreements. Within e-commerce, they can manage warranties, subscriptions, service renewals, loyalty rewards and escrow arrangements.

Instead of relying on human moderators, refund conditions or service obligations can be encoded into smart contracts that release payment only when the conditions are met.

Automated commerce extends further when smart contracts interact with Internet of Things devices. A connected device could autonomously purchase replacement parts or consumables when necessary.

E-commerce platforms could integrate smart contract logic to handle inventory restocking, supplier payments or automated compliance checks.

The special nature of smart contracts improves reliability because actions cannot be arbitrarily reversed by a platform operator. However, coding errors and rigidity create risks because smart contracts cannot easily adapt once deployed.

Governance frameworks such as decentralised autonomous organisations attempt to manage contract upgrades and dispute processes, although they remain experimental.

Tokenisation and loyalty systems

Blockchain technology also enables the tokenisation of loyalty points, vouchers and digital assets. Instead of centralised reward programmes that limit transferability, tokenised loyalty points can be traded, exchanged or used across multiple platforms.

Sellers gain marketing flexibility while buyers gain value portability.

E-commerce platforms have explored non-fungible tokens (NFTs) as digital certificates for physical goods, especially within luxury fashion, collectables and art-related markets. Instead of simple receipts, NFTs act as verifiable proof of ownership that can be transferred independently of the platform.

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Although the market has experienced volatility, the experiment highlighted how blockchain can merge physical and digital commerce.

Data ownership and privacy

Centralised e-commerce collects extensive customer data, including purchasing behaviour, preferences and browsing patterns. Blockchain technology introduces alternative models where users hold their own data and selectively grant access through cryptographic permissions.

Instead of businesses accumulating large datasets, consumers become the custodians of their personal information.

Self-sovereign identity solutions allow users to verify age, location or reputation without exposing full personal profiles. This approach could reduce data breaches and strengthen privacy protection.

E-commerce platforms could integrate verification without storing sensitive information. Adoption remains limited, although interest is growing as data protection regulations increase.

Assessment of combined impact

The combination of blockchain technology and e-commerce represents a gradual shift toward decentralised trust models. Traditional platforms depend on central authorities to enforce rules, settle disputes, and secure transactions.

Blockchain introduces alternatives that distribute these responsibilities across networks and algorithms. The synergy creates several potential impacts.

Traceability and transparency improve product trust. Automated contracts reduce operational complexity. Decentralised payments shorten cross-border settlement times. Tokenisation creates new commercial models where digital and physical goods are tied to verifiable ownership.

Data ownership frameworks give buyers greater control over information. Taken together, these features increase resilience and reduce reliance on single intermediaries.

However, integration also encounters notable challenges. User experience remains a critical barrier because decentralised systems often require technical understanding. Regulatory frameworks for cryptocurrency payments, smart contract disputes and decentralised marketplace governance remain uncertain.

Crypto jurisdiction

Energy consumption concerns affect public perception, although newer blockchains use far more efficient consensus mechanisms. Large platforms may resist decentralisation because it reduces their control and revenue streams.

The most realistic pathway is hybrid rather than fully decentralised commerce. Mainstream marketplaces can incorporate blockchain features such as supply chain tracking, tokenised loyalty, and optional crypto payments while retaining central management for dispute resolution and customer support.

A combination like this delivers benefits without sacrificing the convenience of familiar interfaces.

Future outlook and complementary technologies

Blockchain technology will continue to shape e-commerce, although it will evolve alongside other technologies rather than acting alone. Several developments appear likely to influence the next decade of online commerce.

AI will integrate with blockchain to enhance fraud detection, automate dispute processes, and analyse supply chain data. Instead of opaque AI systems, blockchain can record decision rules or training data in transparent ways that improve accountability.

Internet of Things networks will use blockchain for device-to-device payments and micro-transactions. Connected appliances could automatically reorder supplies or arrange maintenance using autonomous smart contracts. A model that expands e-commerce from human-initiated purchases to machine-driven commerce.

Decentralised identity solutions will simplify verification for both buyers and sellers. Instead of uploading documents to multiple platforms, individuals will maintain portable digital identities controlled by cryptographic keys.

E-commerce platforms will verify the necessary attributes without storing personal information. Such an approach aligns with privacy regulations and reduces fraud.

Quantum-resistant cryptography will become essential as quantum computing advances. Blockchain networks will need upgrades to maintain security. E-commerce platforms built on blockchain will therefore rely on next-generation cryptographic systems.

AR and VR will integrate with blockchain through tokenised digital goods that move between immersive environments and real-world marketplaces.

medium shot man wearing vr glasses

Luxury brands already experiment with digital twins of physical products. That trend will only deepen as consumers spend more time in virtual spaces.

The future of e-commerce will not depend on a single technology. Instead of blockchain replacing conventional systems, it will act as a foundational layer that strengthens transparency, trust, and automation.

E-commerce platforms will selectively adopt decentralised features that complement their existing operations while retaining user-friendly interfaces and established logistics networks.

In conclusion, blockchain has reshaped expectations of trust within digital environments. Its decentralised architecture, immutability, and programmability have introduced new opportunities for secure payments, supply chain verification, automated agreements and data sovereignty.

E-commerce platforms recognised the potential and began integrating blockchain features to improve authenticity, reduce fraud and expand payment options. The combination offers a powerful pathway toward more transparent and efficient commerce.

Yet challenges remain as user experience, regulation and scalability continue to influence adoption. The future of our transactions is to be hybrid, with blockchain supporting specific components of e-commerce rather than replacing established models.

Complementary technologies, including AI, IoT, decentralised identity and quantum-resistant security, will reinforce these developments. E-commerce will evolve toward ecosystems where automation, transparency and user empowerment become standard expectations.

Blockchain technology will play a central role in that transformation, although its greatest impact will emerge through careful integration rather than radical disruption.

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