NIST AI RMF

From Obligation to Evidence: A Methodology for Multi-Regulatory AI Governance

A single AI system rarely sits under a single rulebook. This paper sets out TRACE, a five-phase methodology for governing AI across overlapping frameworks, and a maturity model for locating where an organisation stands.

AI GovernanceRegulatory Technology

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