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Conformity Assessment

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

by Standard Intelligence

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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Self-Assessment or Notified Body? Choosing the Right Conformity Pathway

by Standard Intelligence

Which high-risk AI can be self-assessed, and which needs a notified body? This paper maps the pathways category by category, with the declaration of conformity and post-market duties.

AI Governance

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Annex IV Is a Living File, Not a One-Off: What Notified Bodies Actually Expect

by Standard Intelligence

Annex IV is not a one-off deliverable. It is a living technical file across fourteen elements, and the standard notified bodies expect is higher than the text suggests.

AI Governance