Humanitarian response / participatory AIhumanitarian actionParticipation documented

Operationalising Participatory AI for Crisis-Affected Communities

Kakuma, Kenya

CDAC materials describe participatory AI for crisis-affected communities, including community-in-the-loop design and guidance for humanitarian action.

humanitarian participationresponsible AIproblem formulationdesigndeploymentevaluation

Project documentation Evidence source

Overview

Region: Multi Region
Lead organization: CDAC Network / Humanitarian AI Advisory / Alan Turing Institute
Organization type: nonprofit consortium
Technology group: AI-assisted crisis intelligence
Activity status: active
Start year: 2026
Last updated: Mar 25, 2026

Participation documentation

Participation mode: participatory design with frontline humanitarian actors and communities
Participants: crisis-affected communities; humanitarian practitioners; researchers
Methods: framework design; co-design; community-in-the-loop methods
AI lifecycle stages: problem formulation; design; deployment; evaluation
Evidence summary: CDAC materials describe participatory AI for crisis-affected communities, including community-in-the-loop design and guidance for humanitarian action.
Atlas assessment: Cautious · Medium confidence · evidence grade C
Uncertainty: The framework is concrete and AI-specific, though much of the evidence remains guidance- and case-material-based rather than tied to one named deployment.