Directory of AI-Enabled Humanitarian Projects

March 2026

Artificial intelligence is rapidly becoming part of how humanitarian organizations anticipate crises, analyze information, strengthen operations, and deliver support to communities. To help practitioners, funders, researchers, and policymakers navigate this evolving landscape, NetHope has updated Elrha’s (formerly UKHIH) Directory of AI-Enabled Humanitarian Projects.

The directory has grown from 98 to 170 entries across 88 lead organizations in under two years. Original entries were reviewed and verified, and new projects were added through research, a sector survey, and direct outreach. The result is a stronger resource for learning, collaboration, and more responsible AI adoption in humanitarian action.

What you will find inside

• 170 AI-enabled projects from 88 lead organizations, offering a broad snapshot of AI use across humanitarian action.
• Coverage across a wide range of humanitarian priorities, including health and nutrition, food security, WASH, education, and internal operations.
• A searchable dataset that can be filtered by impact area, AI type, user group, region, deployment stage, and validation status.
• Examples of how organizations are using different AI approaches in practice, from predictive models and computer vision to chatbots, generative AI, NLP, decision-support systems, and robotic process automation
• Practical project-level detail, including descriptions, geographic focus, technology providers, data sources, partners, contacts, and implementation status to support learning, discovery, and collaboration

Access the directory

Download the full directory below to explore how AI is being used across humanitarian action today. It is designed as a practical resource for scanning the landscape, finding examples, and identifying opportunities for collaboration.

Directory of AI-Enabled Humanitarian Projects

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Add your project

If your nonprofit is using AI in any area of humanitarian or operational work, we invite you to submit your project. Sharing your work helps strengthen the collective evidence base and highlights emerging practice across the sector.