Digital cooperation

ChatGPT launches group chats in Asia-Pacific pilot

OpenAI has introduced a new group chat feature in its ChatGPT app, currently piloted across Japan, New Zealand, South Korea and Taiwan. The rollout aims to test how users will interact in multi-participant conversations with the AI.

The pilot enables Free, Plus, and Team users on both mobile and web platforms to start or join group chats of up to 20 participants, where ChatGPT can participate as a member.

Human-to-human messages do not count against AI usage quotas; usage only applies when the AI replies. Group creators remain in charge of membership; invite links are used for access, and additional safeguards are applied when participants under the age of 18 are present.

This development marks a significant pivot from one-on-one AI assistants toward collaborative workflows, messaging and shared decision-making.

From a digital policy and governance perspective, this new feature raises questions around privacy, data handling in group settings, the role of AI in multi-user contexts and how usage quotas or model performance might differ across plans.

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Digital records gain official status in Uzbekistan

Uzbekistan has granted full legal validity to online personal data stored on the my.gov.uz Unified Interactive Public Services Portal, placing it on equal footing with traditional documents.

The measure, in force from 1 November, supports the country’s digital transformation by simplifying how citizens interact with state bodies.

Personal information can now be accessed, shared and managed entirely through the portal instead of relying on printed certificates.

State institutions are no longer permitted to request paper versions of records that are already available online, which is expected to reduce queues and alleviate the administrative burden faced by the public.

Officials in Uzbekistan anticipate that centralising personal data on one platform will save time and resources for both citizens and government agencies. The reform aims to streamline public services, remove redundant steps and improve overall efficiency across state procedures.

Government bodies have encouraged citizens to use the portal’s functions more actively and follow official channels for updates on new features and improvements.

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China targets deepfake livestreams of public figures

Chinese cyberspace authorities announced a crackdown on AI deepfakes impersonating public figures in livestream shopping. Regulators said platforms have removed thousands of posts and sanctioned numerous accounts for misleading users.

Officials urged platforms to conduct cleanups and hold marketers accountable for deceptive promotions. Reported actions include removing over 8,700 items and dealing with more than 11,000 impersonation accounts.

Measures build on wider campaigns against AI misuse, including rules targeting deep synthesis and labelling obligations. Earlier efforts focused on curbing rumours, impersonation and harmful content across short videos and e-commerce.

Chinese authorities pledged a continued high-pressure stance to safeguard consumers and protect celebrity likenesses online. Platforms risk penalties if complaint handling and takedowns fail to deter repeat infringements in livestream commerce.

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Purdue and Google collaborate to advance AI research and education

Purdue University and Google are expanding their partnership to integrate AI into education and research, preparing the next generation of leaders while advancing technological innovation.

The collaboration was highlighted at the AI Frontiers summit in Indianapolis on 13 November. The event brought together university, industry, and government leaders to explore AI’s impact across sectors such as health care, manufacturing, agriculture, and national security.

Leaders from both organisations emphasised the importance of placing AI tools in the hands of students, faculty, and staff. Purdue plans a working AI competency requirement for incoming students in fall 2026, ensuring all graduates gain practical experience with AI tools, pending Board approval.

The partnership also builds on projects such as analysing data to improve road safety.

Purdue’s Institute for Physical Artificial Intelligence (IPAI), the nation’s first institute dedicated to AI in the physical world, plays a central role in the collaboration. The initiative focuses on physical AI, quantum science, semiconductors, and computing to equip students for AI-driven industries.

Google and Purdue emphasised responsible innovation and workforce development as critical goals of the partnership.

Industry leaders, including Waymo, Google Public Sector, and US Senator Todd Young, discussed how AI technologies like autonomous drones and smart medical devices are transforming key sectors.

The partnership demonstrates the potential of public-private collaboration to accelerate AI research and prepare students for the future of work.

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Microsoft expands AI model Aurora to improve global weather forecasts

Extreme weather displaced over 800,000 people worldwide in 2024, highlighting the importance of accurate forecasts for saving lives, protecting infrastructure, and supporting economies. Farmers, coastal communities, and energy operators rely on timely forecasts to prepare and respond effectively.

Microsoft is reaffirming its commitment to Aurora, an AI model designed to help scientists better understand Earth systems. Trained on vast datasets, Aurora can predict weather, track hurricanes, monitor air quality, and model ocean waves and energy flows.

The platform will remain open-source, enabling researchers worldwide to innovate, collaborate, and apply it to new climate and weather challenges.

Through partnerships with Professor Rich Turner at the University of Cambridge and initiatives like SPARROW, Microsoft is expanding access to high-quality environmental data.

Community-deployable weather stations are improving data coverage and forecast reliability in underrepresented regions. Aurora’s open-source releases, including model weights and training pipelines, will let scientists and developers adapt and build upon the platform.

The AI model has applications beyond research, with energy companies, commodity traders, and national meteorological services exploring its use.

By supporting forecasting systems tailored to local environments, Aurora aims to improve resilience against extreme weather, optimise renewable energy, and drive innovation across multiple industries, from humanitarian aid to financial services.

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Baidu launches new AI chips amid China’s self-sufficiency push

In a strategic move aligned with national technology ambitions, Baidu announced two newly developed AI chips, the M100 and the M300, at its annual developer and client event.

The M100, designed by Baidu’s chip subsidiary Kunlunxin Technology, targets inference efficiency for large models using mixture-of-experts techniques, while the M300 is engineered for training very large multimodal models comprising trillions of parameters.

The M100 is slated for release in early 2026 and the M300 in 2027, according to Baidu, which claims they will deliver ‘powerful, low-cost and controllable AI computing power’ to support China’s drive for technological self-sufficiency.

Baidu also revealed plans for clustered architectures such as the Tianchi256 stack in the first half of 2026 and the Tianchi512 in the second half of 2026, intended to boost inference capacity through large-scale interconnects of chips.

This announcement illustrates how China’s tech ecosystem is accelerating efforts to reduce dependence on foreign silicon, particularly amid export controls and geopolitical tensions. Domestically-designed AI processors from Baidu and other firms such as Huawei Technologies, Cambricon Technologies and Biren Technology are increasingly positioned to substitute for western hardware platforms.

From a policy and digital diplomacy perspective, the development raises questions about the global semiconductor supply chain, standards of compute sovereignty and how AI-hardware competition may reshape power dynamics.

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Romania pilots EU Digital Identity Wallet for payments

In a milestone for the European digital identity ecosystem, Banca Transilvania and payments-tech firm BPC have completed the first pilot in Romania using the EU Digital Identity Wallet (EUDIW) for a real-money transaction.

The initiative lets a cardholder authenticate a purchase using the wallet rather than a conventional one-time password or card reader.

The pilot forms part of a large-scale testbed led by the European Commission under the eIDAS 2 Regulation, which requires all EU banks to accept the wallet for strong customer authentication and KYC (know-your-customer) purposes by 2027.

Banca Transilvania’s Deputy CEO Retail Banking, Oana Ilaş, described the project as a historic step toward a unified European digital identities framework that enhances interoperability, inclusivity and banking access.

From a digital governance and payments policy perspective, this pilot is significant. It shows how national banking systems are beginning to integrate digital-ID wallets into card and account-based flows, potentially reducing reliance on legacy authentication mechanisms (such as SMS OTP or hardware tokens) that are vulnerable to fraud.

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New York Times lawsuit prompts OpenAI to strengthen privacy protections

OpenAI says a New York Times demand to hand over 20 million private ChatGPT conversations threatens user privacy and breaks with established security norms. The request forms part of the Times’ lawsuit over alleged misuse of its content.

The company argues the demand would expose highly personal chats from people with no link to the case. It previously resisted broader requests, including one seeking more than a billion conversations, and says the latest move raises similar concerns about proportionality.

OpenAI says it offered privacy-preserving alternatives, such as targeted searches and high-level usage data, but these were rejected. It adds that chats covered by the order are being de-identified and stored in a secure, legally restricted environment.

The dispute arises as OpenAI accelerates its security roadmap, which includes plans for client-side encryption and automated systems that detect serious safety risks without requiring broad human access. These measures aim to ensure private conversations remain inaccessible to external parties.

OpenAI maintains that strong privacy protections are essential as AI tools handle increasingly sensitive tasks. It says it will challenge any attempt to make private conversations public and will continue to update users as the legal process unfolds.

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Explainable AI predicts cardiovascular events in hospitalised COVID-19 patients

In the article published by BMC Infectious Diseases, researchers developed predictive models using machine learning (LightGBM) to identify cardiovascular complications (such as arrhythmia, acute heart failure, myocardial infarction) in 10,700 hospitalised COVID-19 patients across Brazil.

The study reports moderate discriminatory performance, with AUROC values of 0.752 and 0.760 for the two models, and high overall accuracy (~94.5%) due to the large majority of non-event cases.

However, due to the rarity of cardiovascular events (~5.3% of cases), the F1-scores for detecting the event class remained very low (5.2% and 4.2%, respectively), signalling that the models struggle to reliably identify the minority class despite efforts to rebalance the data.

Using SHAP (Shapley Additive exPlanations) values, the researchers identified the most influential predictors: age, urea level, platelet count and SatO₂/FiO₂ (oxygen saturation to inspired oxygen fraction) ratio.

The authors emphasise that while the approach shows promise for resource-constrained settings and contributes to risk stratification, the limitations around class imbalance and generalisability remain significant obstacles for clinical use.

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New AI platforms approved for Surrey Schools classrooms

Surrey Schools has approved MagicSchool, SchoolAI, and TeachAid for classroom use, giving teachers access through the ONE portal with parental consent. The district says the tools are intended to support instruction while maintaining strong privacy and safety safeguards.

Officials say each platform passes rigorous reviews covering educational value, data protection, and technical security before approval. Teachers receive structured guidance on appropriate use, supported by professional development aligned with wider standards for responsible AI in education.

A two-year digital literacy programme helps staff explore online identity, digital habits, and safe technology use as AI becomes more common in lessons. Students use AI to generate ideas, check code, and analyse scientific or mathematical problems, reinforcing critical reasoning.

Educators stress that pupils are taught to question AI outputs rather than accept them at face value. Leaders argue this approach builds judgment and confidence, preparing young people to navigate automated systems with greater agency beyond school settings.

Families and teachers can access AI safety resources through the ONE platform, including videos, podcasts and the ‘Navigating an AI Future’ series. Materials include recordings from earlier workshops and parent sessions, supporting shared understanding of AI’s benefits and risks across the community.

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