Mapping Participatory AI: A New Open Repository
An article recently published on arXiv discusses the development of an interactive atlas and open repository dedicated to participatory AI projects. This repository incorporates data harmonized from the Trustworthy AI corpus by Magaña and Shilton, along with extra verified cases. It outlines a reproducible method for discovery, evaluation, harmonization, geocoding, tracking provenance, and publication based on releases. Analysis of the corpus indicates that the initiatives are primarily concentrated in a limited number of countries, with participation frequently identified during the problem formulation stage. This research aims to address the scattered evidence regarding the organization of participation in public, civic, and humanitarian contexts.
Key facts
- Paper published on arXiv with ID 2605.16827
- Reports construction of an open repository and interactive atlas of participatory AI initiatives
- Uses records from Magaña and Shilton's Trustworthy AI corpus
- Includes additional audited cases from research and practice
- Specifies a reproducible protocol for discovery, vetting, harmonization, geocoding, provenance tracking, and release-based publication
- Documents corpus-level patterns in geography, participation tiers, lifecycle loci, organizational form, verification status, and documentation gaps
- Initiatives concentrated in a small number of countries
- Participation most often coded at problem formulation
Entities
Institutions
- arXiv
- Magaña and Shilton's Trustworthy AI corpus