Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review
Bridging the global compliance gap with machine-checkable governance frameworks for high-risk AI deployments.
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, US, and China that maps (i) risk classification t...
ArXiv CS.AI
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As global AI regulations transition from soft ethical guidelines to strict legal mandates, businesses face significant hurdles in navigating fragmented cross-border compliance landscapes. The proposed Knowledge Blocks framework offers a vital technical solution by digitizing regulatory requirements to ensure audit-ready, automated adherence across diverse jurisdictions.
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