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Adopting AI Enhances Humanitarian Operations While Demanding Critical Trade-Offs.

Caroline Grangier¹, Munzer Alkhalil^2,3, Aula Abbara^4,5

¹Antei Global, Paris, France.

Avicenna Journal of Medicine

|July 11, 2026

Summary

This summary is machine-generated.

Artificial intelligence (AI) enhances humanitarian operations with improved diagnostics and data analysis. However, ethical concerns and security risks necessitate careful implementation and local ownership to ensure equitable benefits.

Keywords:

AI conflict zones ethical considerations health humanitarians trade-off

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Area of Science:

Humanitarian Aid
Artificial Intelligence
Global Development

Background:

Artificial intelligence (AI) is transforming humanitarian operations, offering enhanced health diagnostics and improved data analysis for complex predictions.
Limited human and financial resources in humanitarian contexts highlight AI's potential to bridge operational gaps and sustain emergency responses.

Purpose of the Study:

To explore the trade-offs and ethical considerations of adopting AI tools in fragile humanitarian environments.
To reflect on balancing the benefits of AI accuracy with humanitarian concerns regarding its implementation.

Main Methods:

Commentary and ethical analysis of AI adoption in the humanitarian sector.
Review of AI's impact on operational efficiency, data management, and prediction capabilities.

Main Results:

AI offers significant potential for improving efficiency and accuracy in humanitarian interventions, particularly in resource-limited settings.
Substantial risks include security breaches from human error and data mismanagement, impacting both aid workers and vulnerable populations.

Conclusions:

The humanitarian sector must adopt AI to avoid widening inequalities in data-driven decision-making.
Establishing safeguards and promoting local ownership is crucial to ensure AI enhances resilience and avoids reinforcing power imbalances.