Gender justice / mobility safety AIwomen’s mobility and public transport safetyParticipation documented

SafeHer

Manila, Philippines

Official materials state that SafeHer is grounded in the lived experiences and needs of women transit users in Metro Manila and was developed through feminist AI research-to-prototype work.

participatory feminismsafety by designgender justiceproblem formulationdesignevaluationdeployment design

Project documentation Evidence source

Overview

Region: Asia
Lead organization: De La Salle University; A+ Alliance collaborators
Organization type: academic partnership
Technology group: AI-assisted safety reporting
Activity status: pilot
Start year: 2022
Last updated: Mar 25, 2026

Participation documentation

Participation mode: women’s lived-experience co-design + community action
Participants: women transit users; community partners; researchers; local stakeholders
Methods: participatory research; co-design; community workshops; prototype testing
AI lifecycle stages: problem formulation; design; evaluation; deployment design
Evidence summary: Official materials state that SafeHer is grounded in the lived experiences and needs of women transit users in Metro Manila and was developed through feminist AI research-to-prototype work.
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.