FAO

Food and Agriculture Organization

37
Activities on AI
44
Countries

About FAO

The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that leads international efforts to defeat hunger. Our goal is to achieve food security for all and make sure that people have regular access to enough high-quality food to lead active, healthy lives. With over 194 member states, FAO works in over 130 countries worldwide. We believe that everyone can play a part in ending hunger.

Activities by FAO

FAO
TELLUS
Global

This project aims to harness generative AI to create an interactive "chatbot" named Tellus. The chatbot will communicate in non-technical speech, transcend language barriers, and help users access knowledge from massive amounts of FAO data in all agrifood sectors.

Activity Type AI Tools/SolutionsTechnical assistance
FAO
Livestock Environmental Assessment and Performance Partnership (LEAP) AI Navigator
Africa, Asia and the Pacific, Europe and the Commonwealth of Independent States, Latin America and the Caribbean AustraliaBrazilCanadaCosta RicaFranceIrelandKenyaNetherlandsNew ZealandSwitzerlandUruguay

An AI-powered tool developed by FAO to assist in understanding the guidelines and reports of the LEAP Partnership. It simplifies complex environmental assessments related to livestock, provides technical answers, and promotes sustainable practices.

Activity Type AI Tools/SolutionsTechnical assistance
FAO
Creating Key Messages for the DSP mobile application
Global Not Applicable

The project is building a prototype using an Open AI chatbot to create key messages from FAO/Country based technical documentation for the Digital Services Portfolio (DSP) mobile application. This automates the cumbersome and time-consuming manual process of creating content for farmers.

Activity Type AI Tools/Solutions
FAO
AI@RLC Copilot EmpowerLab
Latin America and the Caribbean Chile

This activity consists of a practical AI adoption cycle focused on Microsoft Copilot, implemented within FAO’s Regional Office for Latin America and the Caribbean (RLC). It includes a structured in-person training program delivered through three core sessions plus one follow-up session, emphasizing the application of AI in real work scenarios. Participants develop practical capabilities such as building a personal library of structured prompts, designing shared team resources, and deploying at least one personal-use AI agent. The initiative represents Phase 1 of a broader adoption roadmap and is designed to be replicable across country offices in the region.

Activity Type Trainings/Workshops