UN Secretary-General António Guterres has formally submitted, for consideration and appointment by the United Nations General Assembly, the proposed composition of a new Independent International Scientific Panel on AI, marking a step towards evidence-based global AI governance.
The panel brings together 40 experts from across regions and disciplines, selected through an open global call that attracted more than 2,600 applications, and members serve in a personal and independent capacity.
In his submission to the General Assembly, Guterres said the body would act as the first fully independent global scientific authority focused on closing the AI knowledge gap and assessing real-world impacts across economies and societies.
According to the UN chief, a reliable and unbiased understanding of AI has become essential as technologies reshape governance, labour markets, and social systems at an accelerating speed.
The panel will operate for an initial three-year term, aiming to provide a shared scientific foundation for international cooperation amid rising geopolitical tension and technological competition.
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The dating platform is expanding its reliance on AI, with Tinder experimenting with a feature designed to ease swipe fatigue among users.
A tool, known as Chemistry, that builds a picture of each person through optional questions and by reviewing their Camera Roll with permission, offering a more personalised route toward potential matches instead of repetitive browsing.
Match is currently testing the feature only in Australia. Executives say the system allows people to receive a small set of tailored profiles rather than navigating large volumes of candidates.
Tinder hopes the approach will strengthen engagement during a period when registrations and monthly activity remain lower than last year, despite minor improvements driven by AI-based recommendations.
Developers are also refocusing the broader discovery experience to reflect concerns raised by Gen Z around authenticity, trust and relevance.
The platform now relies on verification tools such as Face Check, which Match says cut harmful interactions by more than half instead of leaving users exposed to impersonators.
These moves indicate a shift away from the swipe mechanic that once defined the app, offering more direct suggestions that may improve outcomes.
Marketing investment is set to rise as part of the strategy. Match plans to allocate $50 million to new campaigns that will position Tinder as appealing again, using creators on TikTok and Instagram to reframe the brand.
Strong quarterly revenue failed to offset weaker guidance, yet the company argues that AI features will help shape a more reliable and engaging service for users seeking consistent matches.
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The European Commission is testing a European open source system for its internal communications as worries grow in Brussels over deep dependence on US software.
A spokesperson said the administration is preparing a solution built on the Matrix protocol instead of relying solely on Microsoft Teams.
Matrix is already used by several European institutions, including the French government, German healthcare bodies and armed forces across the continent.
The Commission aims to deploy it as a complement and backup to Teams rather than a full replacement. Officials noted that Signal currently fills that role but lacks the flexibility needed for an organisation of the Commission’s size.
The initiative forms part of a wider push for digital sovereignty within the EU. A Matrix-based tool could eventually link the Commission with other Union bodies that currently lack a unified secure communication platform.
Officials said there is already an operational connection with the European Parliament.
The trial reflects growing sensitivity about Europe’s strategic dependence on non-European digital services.
By developing home-grown communication infrastructure instead of leaning on a single foreign supplier, the Commission hopes to build a more resilient and sovereign technological foundation.
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Google’s AI chatbot Gemini has surpassed 750 million monthly users, signalling rapid consumer adoption, according to fourth-quarter 2025 earnings. The figure jumped from 650 million in the previous quarter, reinforcing Gemini’s rapid expansion in the generative AI market.
Competitive positioning remains solid. Meta AI has nearly 500 million users, while ChatGPT leads globally with about 810 million. Ongoing product upgrades and ecosystem integration across Google services have sustained Gemini’s growth momentum.
Gemini 3 has driven adoption, with Google calling it its most advanced model, offering deeper reasoning and more nuanced responses. Leadership called the release a key growth driver, with further investment and updates expected to sustain expansion.
Broader AI demand is also lifting Alphabet’s financial performance. Annual revenue has topped $400 billion for the first time, driven by enterprise API demand and infrastructure growth, including the Ironwood TPU rollout.
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Authorities have imposed a full and immediate ban on the import of electronic waste in Malaysia to end the long-standing practice of foreign dumping.
The Anti-Corruption Commission reclassified all e-waste as an absolute prohibition, removing the earlier discretion that allowed limited exemptions. Officials argue that the country should protect its environment rather than accept hazardous materials from other nations.
Authorities have spent years intercepting containers loaded with discarded electronics suspected to contain toxic metals that contaminate soil and water when mishandled.
Environmental groups have repeatedly urged stronger controls, noting that waste from computers, mobile phones and household appliances poses severe risks to human health. The government now insists that firm enforcement must accompany the new restrictions to prevent continued smuggling.
The decision comes amid a widening corruption inquiry into oversight of e-waste. The director-general of the environment department and his deputy have been detained on suspicion of abuse of power. At the same time, investigators have frozen bank accounts and seized cash linked to the case.
The Home Ministry has pledged increased surveillance and warned that Malaysia will safeguard its national security by stopping illegal e-waste at its borders.
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Carbon Robotics has introduced a new artificial intelligence system designed to identify plant species in real time, changing how weeds are managed in agriculture. The model allows farmers to decide what should be removed directly in the field without retraining machines.
Called the Large Plant Model, the system is trained on more than 150 million plant images gathered from farms across 15 countries. The technology now powers Carbon AI, which controls the company’s autonomous LaserWeeder robots.
Earlier systems required new data labelling whenever unfamiliar weeds appeared or conditions changed. With the new model, farmers can instantly flag unwanted plants through the robot interface, even if the species has never been seen before.
Carbon Robotics says continuous data from its machines will further improve accuracy over time. Backed by more than $185 million in funding, the company aims to scale AI-driven weed control while reducing reliance on herbicides.
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Fresh investment is fuelling Polaron’s ambition to become the intelligence layer for materials science. The London startup raised $8 million to scale its AI platform and expand deployments across automotive, energy and advanced manufacturing.
Founded after seven years of research at Imperial College London, Polaron applies AI to one of manufacturing’s toughest challenges. Its models analyse microscopy images and material performance data to show how processing affects structure and behaviour.
Engineers are already using the platform to speed up analysis that once took thousands of hours. Early commercial projects, including battery electrode design, have delivered energy density gains of more than 10 per cent.
The company is now focusing on generative materials design to explore optimal configurations. The approach aims to shorten the path from laboratory research to large-scale, reliable manufacturing.
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Nvidia’s plans to export its H200 AI chips to China remain pending nearly two months after US President Donald Trump approved. A national security review is still underway before licences can be issued to Chinese customers.
Chinese companies have delayed new H200 orders while awaiting clarity on licence approvals and potential conditions, according to people familiar with the discussions. The uncertainty has slowed anticipated demand and affected production planning across Nvidia’s supply chain.
In January, the US Commerce Department eased H200 export restrictions to China but required licence applications to be reviewed by the departments of State, Defence, and Energy.
Commerce has completed its analysis, but inter-agency discussions continue, with the US State Department seeking additional safeguards.
The export framework, which also applies to AMD, introduces conditions related to shipment allocation, testing, and end-use reporting. Until the review process concludes, Nvidia and prospective Chinese buyers remain unable to proceed with confirmed transactions.
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Researchers at the Massachusetts Institute of Technology have developed a generative AI model to guide scientists through the complex process of materials synthesis, a significant bottleneck in materials discovery.
DiffSyn uses diffusion-based AI to suggest multiple synthesis routes for a material, factoring in temperature, reaction time, and precursor ratios. Unlike earlier tools tied to single recipes, DiffSyn reflects the laboratory reality in which multiple pathways can produce the same material.
The system achieved state-of-the-art accuracy on zeolites, a challenging material class used in catalysis and chemical processing. Using DiffSyn’s recommendations, the team synthesised a new zeolite with improved thermal stability, confirming the model’s practical value.
The researchers believe the approach could be extended beyond zeolites to other complex materials, eventually integrating with automated experiments to shorten the path from theoretical design to real-world application dramatically.
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The UN 2.0 Data & Digital Community AI Expo examined how AI is currently embedded within the operational, analytical and institutional work of the United Nations system. The session brought together a range of AI applications already in use across UN entities, offering a consolidated view of how data-driven tools are supporting mandates related to development, humanitarian action, human rights and internal organisational capacity.
Designed as a fast‑paced showcase, the event presented eight specific AI projects from various UN organisations within a one-hour window. These featured programmes were selected by the UN AI Resource Hub, which is a significant collaborative initiative involving over 50 UN entities. The hub serves to strengthen coordination and coherence regarding AI technologies across the entire UN system.
The Expo highlighted how AI interacts with data availability, governance frameworks, and legal obligations. The session therefore functioned as an overview of current practice, revealing both the scope of AI use and the constraints shaping its deployment within a multilateral institution.
UN 2.0, data and digital capacity
UN 2.0 frames data and digital capability as core institutional functions necessary for addressing complex global challenges. Increasing volumes of information, rapidly evolving risks and interconnected crises require tools that support analysis, coordination and timely decision-making.
Within this framework, AI is treated as one component of a broader digital ecosystem. Its effectiveness depends on data quality, governance structures, organisational readiness and ethical oversight. The AI Expo reflected this approach by consistently situating the use of AI within existing mandates and institutional responsibilities, rather than presenting technology as a standalone solution.
UNICEF: Guidance on AI and children
UNICEF addressed how AI systems affect children across education, health, protection, and social services. The guidance focuses on governance frameworks that protect children’s rights in digital environments where automated systems increasingly shape access and outcomes.
Key risks highlighted include profiling, algorithmic bias, data misuse, and exclusion from digital benefits. Safeguards such as transparency, accountability, accessibility, and human oversight are emphasised as essential conditions for any AI system involving children.
The guidance, now in its third edition from December 2025, draws on the Convention on the Rights of the Child and sets out 10 requirements for child-centred AI, including safety, data privacy, non-discrimination, transparency, inclusion, and support for children’s well-being and development.
By anchoring AI governance within established child rights frameworks, the guidance positions technological development as subject to existing international obligations rather than discretionary policy choices. It highlights both the risks of AI, such as harmful content, CSAM, and algorithmic bias, and the opportunities, including enhanced learning, accessibility for children with disabilities, and improved child well-being.
UN-Habitat: BEAM AI (Building & Establishment Automated Mapper)
UN-Habitat presented BEAM, a machine-learning system designed to analyse satellite and aerial imagery to identify buildings and settlement patterns. Rapid urbanisation and the growth of informal settlements often outpace traditional data collection methods, leaving governments without accurate information for planning and service delivery.
AI-supported mapping addresses these gaps by generating up-to-date spatial data at scale. Outputs support decisions related to housing, water, sanitation, infrastructure investment, and risk reduction. It identifies and geo-references rooftops, generating shapefiles for urban planning processes.
Applied in South Africa and Central America, the system has mapped millions of previously unrecorded buildings, providing comprehensive spatial data where none existed before and supporting evidence-based decision-making in rapidly evolving urban areas.
UNFPA: AI platform for adolescents and youth
UNFPA focused on AI-supported platforms designed to improve access to information for adolescents and youth, particularly in areas related to sexual and reproductive health and mental well-being. Many young people face barriers linked to stigma, lack of confidentiality and uneven access to services.
UNFPA India’s JustAsk! AI chatbot provide guidance that is age-appropriate, culturally sensitive, and aligned with ethical and rights-based standards. The system helps users navigate health information, counter misinformation, and connect with relevant services when needed, including mental health support and sexual health facilities.
The design of these platforms emphasises privacy, safety, and responsible AI use, ensuring that interactions remain trustworthy and secure for young people. By leveraging AI, UNFPA supports youth-facing services, reaching populations that may otherwise have limited access to accurate and confidential information, particularly in regions where traditional in-person services are scarce or difficult to access.
IOM: Donor intelligence
IOM showcased an emerging AI project designed to strengthen donor intelligence and improve funding strategies. Following significant funding cuts and increasing competition for resources, the organisation explored new ways to diversify funding, identify opportunities and better align proposals after years of consistent rejections.
To ensure the solution addressed real operational needs, the team organised discovery workshops to identify pain points and opportunities for technological support. Using a rapid‑iteration approach known as ‘vibe coding’, developers built and tested prototypes quickly, incorporating continuous user feedback and daily improvements.
A multi-agent AI system integrates internal and external data to generate comprehensive, up-to-date donor profiles. Specialised agents research, synthesise, and refine information, enabling the organisation to monitor donor priorities and shifts in real-time.
Better alignment of project designs with donor interests has successfully reversed the trend of frequent rejections. Securing new funding has allowed the organisation to resume previously suspended activities and restore essential support to migrant and displaced communities.
UNDP: AI Sprint
UNDP launched the AI Sprint as a strategic initiative to accelerate the adoption of AI across the organisation and to build internal capacity for the responsible and effective use of AI. The AI Sprint is designed to equip UNDP staff with the tools, knowledge and governance frameworks needed to harness AI in support of sustainable development and organisational transformation.
The AI Sprint is structured around multiple components, including building foundational AI awareness and skills, establishing ethical principles and frameworks for AI use, and supporting the deployment of high-impact AI initiatives that address key development challenges. It also contributes to country-level enablement by helping partner countries develop AI strategies, strengthen public sector AI capacity and scale AI-related programmes.
The initiative reflects UNDP’s effort to position the organisation as a leader in responsible AI for development, with the dedicated AI Working Group established to oversee responsible use, legal compliance, risk management and transparency in AI adoption.
The UNDP AI Sprint Initiative forms part of broader efforts to build AI capability and accelerate digital transformation across regions, offering training, strategy support and practical tools in countries worldwide.
Described as a dedicated data service, HRDx aims to consolidate data that is currently fragmented, siloed, unverified and often collected manually into a single, more reliable resource. This will allow for earlier detection and monitoring of patterns, thereby supporting human rights initiatives in the digital era.
Given that human rights are currently at a crossroads and increasingly at risk, with only 15% of the Sustainable Development Goals (SDGs) on track for 2030, the design prioritises data protection, security and accountability. This approach reflects the sensitive nature of such information, particularly as technology can also accelerate inequality, disinformation and digital surveillance.
HRDx forms part of a broader OHCHR strategy to utilise technology and data to identify trends rapidly and facilitate coordinated action. The initiative seeks to establish human rights data as a global public good, ensuring that ethical data governance and the protection of personal data remain fundamental requirements for its operation.
UN Global Pulse: DISHA (Data Insights for Social & Humanitarian Action)
UN Global Pulse has established a collaborative coalition known as DISHA, or Data Insights for Social and Humanitarian Action, to bridge the gap between experimental technology and its practical application.
This partnership focuses on refining and deploying AI-enabled analytics to support critical humanitarian decision-making, ensuring that the most effective tools transition from mere pilots to routine operational use. By fostering cross-sector partnerships and securing authorised access to dynamic data, the project aims to equip humanitarian organisations with the high-level insights necessary to respond to crises with greater speed and precision.
The practical utility of this effort is demonstrated through several key analytical applications designed to address immediate needs on the ground. One such tool significantly accelerates disaster damage assessment, reducing the time required for analysis from weeks or days to just a few hours. In the Philippines, the initiative uses an evergreen data partnership with Globe Telecom to monitor population mobility and dynamically track displacement trends following a disaster.
Furthermore, a shelter-mapping pilot project uses satellite imagery to automatically identify refugee shelters at scale, providing a clearer picture of humanitarian requirements in real time.
A central focus of the DISHA initiative is to overcome the persistent barriers that prevent the humanitarian sector from adopting these advanced solutions. By addressing these governance considerations and focusing on the productisation of AI approaches, the initiative ensures that analytical outputs are not only technically sound but also directly aligned with the live operational requirements of responders during a crisis.
WIPO: Breaking language barriers with AI
The World Intellectual Property Organization (WIPO) has implemented an AI system to automate the transcription and translation of international meetings. Developed by the Advanced Technology Applications Center (ATAC), the WIPO Speech-to-Text tool produces automated transcripts in minutes. These custom models are specifically trained on UN terminology and are designed to function despite background noise or non-native language accents.
The system captures spoken language directly from interpretation channels and publishes the results to the WIPO webcast platform, providing searchable access with timestamps for every word. When used alongside the WIPO Translate engine, the tool can generate machine translations in multiple additional languages.
Since its adoption for most public WIPO meetings in 2022, the initiative has delivered savings of several million Swiss francs. The infrastructure supports highly confidential content and allows for installation within an organisation’s secure framework. WIPO is currently sharing this technology with other organisations and developing a software-as-a-service (SaaS) API to expand its availability.
Across the UN system, initiatives demonstrate a shift toward a more capable, data‑driven, and ethically grounded approach to global operations, highlighting the use of technological tools to strengthen human rights, accountability and multilateral cooperation.
When applied responsibly, AI enhances human expertise, enabling more precise monitoring, planning and decision-making across development, humanitarian action, human rights and internal organisational functions. Ethical safeguards, governance frameworks and oversight mechanisms are embedded from the outset to ensure that innovations operate within established norms.
Overall, these developments reflect a broader institutional transformation, with the UN increasingly equipped to manage complexity, respond to crises with precision, and uphold its mandates with agility in the digital era.
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