WFP

World Food Programme

23
Activities on AI
62
Countries

About WFP

The World Food Programme is the world's largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change.

Activities by WFP

WFP
AI for Real-Time Food Security Monitoring
Global Dominican Republic

Accurate, timely insights are critical for anticipating and responding to food insecurity. HungerMap LIVE is WFP’s global food security monitoring system that consolidates diverse datasets — from food security, nutrition, conflict, weather, and macroeconomic indicators — into a unified, interactive platform. By integrating real-time information and leveraging advanced data visualization, HungerMap LIVE offers continuously updated snapshots of food security conditions at global, national, and sub-national levels. This empowers faster, evidence-based decision-making, improves operational agility, and enhances early warning by identifying populations at risk before crises escalate. WFP is also expanding the predictive capabilities of HungerMap LIVE through artificial intelligence and machine learning. Predictive models forecast future food security trends based on dynamic factors such as weather anomalies, conflict data, and economic shifts, helping stakeholders to deploy resources earlier and more effectively to prevent food crises.

Activity Type AI Tools/Solutions
WFP
AI for Legal Case Management
Global Not Applicable

The solution is to leverage AI capabilities within the organization’s existing legal knowledge management and collaboration environment for an initial set of use cases, including automating the registration and classification of legal cases and requests, enabling natural language queries across internal legal and normative frameworks through integrated repositories and APIs, and supporting queries against internal legal libraries to assist in generating draft agreements, contract templates, legal correspondence, and other standardized legal documents.

Activity Type AI Tools/Solutions
WFP
WFP's Enterprise Language Model (ELM) Search
Global Not Applicable

WFP’s Enterprise Language Model (ELM) is an AI-powered corporate search and knowledge discovery capability designed to help staff quickly access operational information across multiple internal platforms, including the WFP intranet, document repository systems, policies, manuals, and other corporate knowledge sources. By enabling natural language queries and surfacing relevant information in seconds, ELM reduces the time spent searching across fragmented systems, supports faster decision-making, and improves access to institutional knowledge across headquarters, regional offices, and country offices. The platform is designed to assist users in discovering and navigating existing information sources while maintaining the appropriate governance, source attribution, and access controls.

Activity Type AI Tools/Solutions
WFP
AI for Fair and Efficient Aid Distribution
Global Not Applicable

Winner of the 2026 Innovation Awards – Category 5: People’s Choice Award. WFP’s Enterprise Deduplication Solution tackles duplicate entries in WFP’s beneficiary databases using advanced AI matching algorithms. These errors can lead to unintended over-assistance, diverting resources from those in greater need. With an accuracy rate exceeding 99.99 percent, the system has already been piloted in three country offices, resulting in close to $400,000 in cost efficiencies. Independent assessments confirm compliance with global data privacy and security standards. Future improvements will introduce a user-friendly interface and fingerprint integration to further refining identity verification and ensuring every dollar in assistance reaches the right recipients.

Activity Type AI Tools/Solutions