Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work

Publications in the AI for Good space have tended to focus on the research and model development that can support high-impact applications.However, very few AI for Good papers discuss the process of deploying and collaborating with the partner organization, and the resulting real-world impact.In this work, we share details about the close collaboration with a humanitarian-to-humanitarian (H2H) organization and how to not only deploy the AI model in a resource-constrained environment, but also how to maintain it for continuous performance updates, and share key takeaways for practitioners.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.nlp4pi-1.16
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
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Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work

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Occupational Health and Safety Research
article

Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work

Alex Jaimes, Hemank Lamba, Joel Tetreault, Anton Abilov, Eric L Olson, Ke Zhang
article en

Abstract

Publications in the AI for Good space have tended to focus on the research and model development that can support high-impact applications.However, very few AI for Good papers discuss the process of deploying and collaborating with the partner organization, and the resulting real-world impact.In this work, we share details about the close collaboration with a humanitarian-to-humanitarian (H2H) organization and how to not only deploy the AI model in a resource-constrained environment, but also how to maintain it for continuous performance updates, and share key takeaways for practitioners.

Reduced inequalities
Openalex Percentile: Top 72%
Occupational Health and Safety Research
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