Tag
This paper provides a comparative review of AI regulations across the EU, US, and China for high-risk use cases, analyzing FAIR principles and identifying governance gaps. It proposes Knowledge Blocks, a machine-checkable compliance artifact pattern to address implementation challenges.
This paper proposes a vertical, domain-specific framework for standardizing high-risk AI systems under the EU AI Act, focusing on algorithmic hiring and ranking-based recruitment systems, with concrete recommendations for risk management, data governance, explainability, human oversight, and post-deployment monitoring.