A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories
Paper recorded by Signals 4 on 2026-09-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22
Category: cs.AI · 人工智能 · first seen 2026-09-22
Abstract
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 i
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Cite this page: A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories: the #16 most recent of 340 cs.AI papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-global-comparison-of-schemas-transparency-and-interoperability-in-public-secto.html
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