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Global AI Regulations Compared: EU, US, China Face Compliance Gaps

By PulseAugur Editorial · [1 sources] ·

A new comparative review analyzes AI regulations across the EU, US, and China, focusing on high-risk use cases and the operationalization of FAIR principles. The study highlights recurring gaps in interoperability mandates, the integration of AI with sector-specific and data protection regulations, and governance for critical digital infrastructure. To address these challenges, the paper proposes Knowledge Blocks, a machine-checkable compliance artifact pattern using RDF/OWL, SHACL, and PROV-O, designed to facilitate audit-ready compliance-by-design across different regulatory regimes. AI

IMPACT Provides a framework for navigating complex global AI regulations, potentially streamlining compliance for AI operators.

RANK_REASON The item is an academic paper presenting a comparative review of AI regulations and proposing a new compliance artifact pattern. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Global AI Regulations Compared: EU, US, China Face Compliance Gaps

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The item is an academic paper presenting a comparative review of AI regulations and proposing a new compliance artifact pattern. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Aasish Kumar Sharma, Dimitar Koysev, Christopher Anich, Roshni Kumari Ojha, Julian Kunkel ·

    Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review

    arXiv:2608.14562v1 Announce Type: new Abstract: AI governance is shifting from voluntary ethics to enforceable, risk-based regulation, yet cross-jurisdictional divergence creates compliance uncertainty for operators of high-stakes AI. We present a comparative matrix for the EU, U…

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