RFC-034: Domains of Concern for Mediated Intelligence — 1. Abstract
AIGP Specification › RFC-034: Domains of Concern for Mediated Intelligence › 1. Abstract
RFC-034: Domains of Concern for Mediated Intelligence
PRIVATE AND PROPRIETARY — NOT A PUBLIC RFC. Owned by Kanjani AI Research & Causum. See NOTICE.md.
Status: Draft Category: Conceptual Foundation Series: Mediated Intelligence Quality and Concern Evaluation Depends on: AIGP Core, Artifact Lifecycle Protocol, D-DNA, Temporal Chaining, Post-Hoc Evaluation Loop Defines: Domain of Concern, Mediation Domain, Industry Projection, Local Profile, Concern Class
1. Abstract
This RFC defines the concept of a Domain of Concern for mediated intelligence systems.
A Domain of Concern is not an industry domain such as healthcare, finance, military, education, or cybersecurity. Instead, it is a bounded class of mediated intelligence use where similar constraints, risks, evidence requirements, uncertainty conditions, observer requirements, and empirical calculation structures apply.
This distinction is necessary because AI-mediated concerns do not map one-to-one to industries. A military use case may belong to the mediation domain of autonomous systems. A healthcare use case may belong to regulated advice under uncertainty. A financial disclosure use case may belong to evidence-backed material claim generation. The industry changes, but the mediated intelligence constraint pattern may remain the same.
This RFC establishes the conceptual foundation for later specifications that define mediation vectors, concern calculations, observer profiles, and governance feedback.