AI in practice across the UN system: UN 2.0 AI Expo

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.

OHCHR: Human Rights Data Exchange (HRDx)

The Office of the High Commissioner for Human Rights (OHCHR) has introduced the Human Rights Data Exchange (HRDx), developed by the Innovation & Analytics Hub, as a global platform designed to enhance the collection, governance and analysis of human rights information. 

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.

#AIforGood

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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