Umecohming is a mechanism for associating information required for AI governance with content so that its governance meaning and provenance remain traceable as the information moves across systems and organizations. Umecohming does not itself determine whether content is good, bad, appropriate, or inappropriate. Its role is to structure information required for governance decisions and pass it to subsequent governance processes.

I2EA organizes governance information into four primary types of Records. A Fact Record records “what happened,” an Evaluation Record records “how it was evaluated or interpreted,” a Policy Record records “which rule was applied,” and a Process Record records “what processing occurred.” These Records are generated at different stages of the Information Loop and are identified respectively by Fact Tags, Evaluation Tags, Policy Tags, and Process Tags.

This distinction is important because Fact, Evaluation, Policy, and Process should not be conflated as a single type of information. A Fact indicating that a particular characteristic exists, an Evaluation assessing it as high-risk, a Policy applicable to that situation, and the Process actually performed are distinct pieces of governance information. Keeping them separate makes it possible to trace what changed according to the type of information involved.

Umecohming associates Governance Tags with content such as Documents, Code, Audio, Video, and Images. Governance information is therefore not confined within a particular AI model, but can travel with the content across subsequent systems and organizations. When another AI system or organization uses that information, it can refer to existing governance information rather than infer the original Facts or Evaluations again from the beginning.

This structure also connects to Decision-State Evidence (DSE). By identifying information from different stages through Governance Tags and associating it with the state that existed at the time of a Decision, the decision process can later be reconstructed.

Umecohming is therefore more than simple “tagging.” It is an information structure that allows governance information to persist with content and enables Traceability across systems and organizations.