Two new research papers propose alternative approaches to governing artificial intelligence, moving beyond jurisdiction-specific laws. The first paper analyzes governance provisions in twenty "AI middle-power" jurisdictions, finding convergence in the types of rules but divergence in their enforcement, with many lacking binding power or specific definitions for AI. The second paper argues for ISO-like interoperability protocols, suggesting standardized "nutrition labels" for AI systems to facilitate cross-border compliance and reduce regulatory fragmentation, drawing parallels to GDPR's operationalization through standards. AI
IMPACT Proposes new models for AI governance that could lead to more standardized and interoperable regulations globally.
RANK_REASON Two academic papers published on arXiv proposing new frameworks for AI governance.
- Azmine Toushik Wasi
- EU AI Act
- General Data Protection Regulation
- ISO
- ISO/IEC 27001
- NIST AI Risk Management Framework
- privacy by design
- China
- European Union
- United States
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