Humanitarian AI governancehumanitarian actionParticipation documented

SAFE AI

London, United Kingdom

SAFE AI explicitly centers community participation, stating that affected communities should have a real say in how AI is used and that humanitarians will be directly involved in creating and refining the framework.

participatory governancecommunity-in-the-loophuman rightsproblem formulationauditinggovernancedeployment

Project documentation Evidence source

Overview

Region: Global
Lead organization: CDAC Network; Alan Turing Institute; Humanitarian AI Advisory
Organization type: nonprofit consortium
Technology group: governance / assurance
Activity status: active
Start year: 2025
Last updated: Mar 25, 2026

Participation documentation

Participation mode: community-in-the-loop co-design
Participants: crisis-affected communities; humanitarian organizations; responders
Methods: co-design; policy briefs; playbooks; sector testing
AI lifecycle stages: problem formulation; auditing; governance; deployment
Evidence summary: SAFE AI explicitly centers community participation, stating that affected communities should have a real say in how AI is used and that humanitarians will be directly involved in creating and refining the framework.
Atlas assessment: Core · High confidence · evidence grade A
Uncertainty: Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.