
TL;DR
This paper presents an open, interactive atlas of participatory AI initiatives, providing a reproducible protocol, analyzing global patterns, and supporting governance and policy research.
Contribution
It introduces a reproducible method for documenting participatory AI projects and demonstrates how the atlas can facilitate governance, research, and community engagement.
Findings
Participatory AI initiatives are concentrated in a few countries.
Participation mostly occurs during problem formulation, evaluation, and governance.
The atlas enables ongoing updates, community feedback, and redaction requests.
Abstract
Participatory approaches to artificial intelligence are increasingly documented across public, civic, and humanitarian settings, but evidence about how participation is organized remains fragmented. This paper reports on the construction of an open repository and interactive atlas of participatory AI initiatives, using records harmonized from Maga~na and Shilton's Trustworthy AI corpus, and additional audited cases from research and practice. We contribute three elements. First, we specify a reproducible protocol for discovery, vetting, harmonization, geocoding, provenance tracking, and release-based publication of participatory AI records. Second, we report corpus-level patterns in geography, participation tiers, lifecycle loci, organizational form, verification status, and remaining documentation gaps. Documented initiatives remain concentrated in a small number of countries, while…
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