A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
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Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different representations of publi...
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The paper argues that AI governance should rely on ISO-like interoperability protocols rather than solely on jurisdiction-specific laws. It proposes standardized AI nutrition labels that include metrics for bias, energy usage, and data provenance to enable machine‑readable risk communication across borders. These protocols aim to reduce regulatory fragmentation, lower barriers for SMEs, and build public trust while allowing modular evolution with technology.
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