Responsible use of artificial intelligence and machine learning for food security early warning systems

Weston Anderson

doi:10.1038/s43016-026-01400-6

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Responsible use of artificial intelligence and machine learning for food security early warning systems

2026-08-06

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Weston Anderson *

Inbal Becker‐Reshef

Nicholas Bodanac

Bia Carneiro

Dave English

Andrew Hoell

Tim Hoffine

Yanyan Liu

Mélissande Machefer

Michele Meroni

Clionadh Raleigh

Andrew J. Tatem

Robert Trigwell

Paola Vesco

Rob Vos

DOI：10.1038/s43016-026-01400-6

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Abstract

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Artificial intelligence and machine learning are already enhancing food security early warning systems by improving data collection, event monitoring and forecasting. However, to avoid costly errors, artificial intelligence and machine learning should be applied selectively alongside expert oversight, robust governance and transparent practices to maintain accountable and effective humanitarian decision-making.