SOURCE-LINKED INTELLIGENCE

A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different representations of public-sector AI. We compare 8,368 records from country-specific and transnational inventories covering 72 countries. Across 23 harmonized fields, registers shared a descriptive core but rarely requested information about appeals, risks, legal bases, or external evaluation. We found that broad schemas often contained substantial missingness, schema similarity showed no significant patterned convergence

Read original source ↗ Open in workspace

recordType

paper

region

Global