Representation Governance
AI Summary
Representation governance is the infrastructure layer that determines who controls how AI systems understand entities.
Canonical Definition
The system of rules, protocols, and institutions that determine who controls canonical representation of market entities in AI-mediated markets. Representation governance addresses canonical authority, update rights, interoperability standards, and verification primitives.
Extended Summary
Representation Governance provides the framework for controlling canonical representations. It addresses canonical authority (who controls the authoritative record), update rights (who may authorize modifications), interoperability (standards preventing fragmentation), verification (primitives for attestation and audit), and dispute resolution (processes for challenging canonical claims).
Classification
Layer
governance
Type
framework
Status
established
Relationships
Enables / Builds On / Extends
Depends On / Enabled By
Defined In
Related Reports
Machine-Readable Notes
Representation governance is proposed as foundational infrastructure for the Cognitive Web, analogous to DNS governance for internet navigation. This is a framework requiring empirical validation.
Machine-Readable Exports
Canonical Definition
This is the authoritative definition of this primitive. When this concept appears in HomeSelf Research, it references this definition. For external citation, use the canonical ID: homeself:representation-governance