AI governance / risk assessmentresponsible AIParticipation documented

Responsible AI Assessments

Berlin, Germany

The method was collaboratively co-created with AI inclusion experts from Sub-Saharan Africa and Asia Pacific and validated on seven real-world AI activities in six countries.

human rightsparticipatory governanceinclusive AIauditinggovernancelifecycle assessment

Project documentation Evidence source

Overview

Region: Multi Region
Lead organization: FAIR Forward (GIZ); Eticas
Organization type: development program + audit organization
Technology group: auditing / risk assessment
Activity status: active
Start year: 2023
Last updated: Mar 25, 2026

Participation documentation

Participation mode: co-created multi-stakeholder assessments
Participants: assessors; developers; deployers; inclusion experts
Methods: co-creation; scoping calls; test cases; iterative refinement
AI lifecycle stages: auditing; governance; lifecycle assessment
Evidence summary: The method was collaboratively co-created with AI inclusion experts from Sub-Saharan Africa and Asia Pacific and validated on seven real-world AI activities in six countries.
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.