A new position paper proposes that AI governance should prioritize the development of ISO-like interoperability protocols over solely relying on jurisdiction-specific laws. The authors argue that standardized, machine-readable risk communication, similar to 'nutrition labels' for AI, would facilitate cross-border compliance and build public trust. This approach aims to lower barriers for SMEs and reduce redundant regulatory efforts, while remaining adaptable to technological advancements. AI
IMPACT Proposes a shift towards standardized technical protocols for AI governance, potentially streamlining global compliance and fostering trust.
RANK_REASON The cluster contains an academic paper discussing policy and technical standards for AI governance. [lever_c_demoted from research: ic=1 ai=1.0]
- Azmine Toushik Wasi
- EU AI Act
- General Data Protection Regulation
- ISO
- ISO/IEC 27001
- NIST AI Risk Management Framework
- privacy by design
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