OMB Individually Reported

Large language models for food security outlooks

Low riskExact public inventory row

Description

USAID Famine Early Warning Network (FEWSNET) produces food security outlooks and bulletins that can complement the perspective of Earth observations. We are exploring how large language models can facilitate the interpretation of these bulletins and outlooks for an integrated approach of food security informed from the perspectives of ground-level reports and from satellites.

Detailed example

Interpretation of these bulletins and outlooks for an integrated approach of food security

AI / analytics pattern

Natural Language Processing: AI that processes, interprets, and shares information in human language.

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Expected benefit

USAID Famine Early Warning Network (FEWSNET) produces food security outlooks and bulletins that can complement the perspective of Earth observations. We are exploring how large language models can facilitate the interpretation of these bulletins and outlooks for an integrated approach of food security informed from the perspectives of ground-level reports and from satellites.

Controls / human review

ATO: Not reported; PIA: Not published