arXiv AI
Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security
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Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
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.