International Frameworks, Standards & Best Practices, Cross-Border Knowledge, and other information that forms the foundation of AI Governance originate from different countries, institutions, and professional domains. These are important Governance Sources, but when they remain expressed in Natural Language, it is difficult for different AI Systems to use their meaning and Applicability Conditions consistently.

The Translation Hub provides common Infrastructure for transforming these Governance Sources into Machine-Readable Governance. However, the Translation Hub does not itself determine the meaning of Policy. Authority to establish Requirements, approve their Interpretation, and make final determinations regarding Governance Ambiguity remains with the Competent Governance Authority.

Within the Translation Hub, a Multi-Stakeholder Translation Team combines Legal, Policy, Technical, Industry, Risk, and Regional / Cultural Expertise to support this structuring process. The first function, Translate, transforms Governance Meaning established or approved by the Competent Governance Authority into Machine-Readable form. Its role is not to create new Interpretations, but to structure Authorized Meaning.

Next, Structure & Tag represents Governance Requirements through structured elements such as Scope, Trigger, Required Control, Context, Authority, Exception, and Version. This enables Governance expressed in Natural Language to be referenced by different AI Systems and Organizations through a common Structure.

However, Machine-readable structuring does not itself confer Governance legitimacy. Review & Validate combines Technical / Domain Review by relevant experts with Validation by the necessary Governance Authority. Where Ambiguity remains regarding Meaning or Applicability, the Translation Team does not resolve it independently. Instead, it returns the issue to the Competent Governance Authority for Clarification. This bidirectional relationship separates the Authority for Translation from the Authority for Interpretation / Policy-making.

Because Governance changes over time, Version & Trace preserves Version, Change History, and Provenance. This makes it possible to trace which Governance Source a Requirement originated from, under whose Authority it was structured, when it was structured or updated, and how those changes occurred.

Validated Machine-Readable Governance is then made available through Publish & Share. What is shared is not an Organization’s internal Enterprise Data or Individual Decisions, but Governance Structure whose Authority and Provenance can be verified. This reduces the need for Countries, Organizations, and AI Providers to independently reinterpret the same Governance Requirement while allowing them to use a common Structure.

The Translation Hub is therefore not a Central Authority that determines a universal Policy for the world. It is Infrastructure for transforming Meaning established under existing Governance Authority into verifiable and traceable Machine-Readable Governance and connecting it to different AI Systems, without replacing that Authority.