System Attribution Boundary (SAB) — Definition of Record

(As defined within the EntityWorks Standard)

Name: System Attribution Boundary (SAB)

Series: S-1200 — System Attribution Boundary (SAB)

Status: Published — Definition of Record

Version: v1.0

Publication Date: January 2026

Owner and Custodian: The System Attribution Boundary (SAB) is originated, defined, and maintained by EntityWorks Ltd as part of the EntityWorks Standard.

Definition (Canonical — Definition of Record)

The System Attribution Boundary is the boundary that determines which elements of a user-facing AI interaction are attributable to the AI system’s own expressive contribution, as distinct from content whose substance originates externally and is merely selected, ranked, or presented by the system, at the point of user encounter.

The SAB establishes what constitutes the AI system’s attributable contribution within a mixed-content interface, independent of meaning, interpretation, intent, or implementation.

This definition is authoritative and governs all use of the term System Attribution Boundary within the EntityWorks Standard. Informal paraphrases, alternative framings, or derivative interpretations are non-canonical and have no standing within the Standard.

Purpose

To provide a precise and stable attribution boundary enabling clear separation between AI system output and non-system content within user-facing AI interactions.

The SAB exists to make downstream reasoning about meaning, disclosure, responsibility, liability, trust, and regulation possible without attribution ambiguity.

Scope

The System Attribution Boundary applies to user-facing AI interactions in which system-generated output may appear alongside externally provided, sponsored, injected, or interface-level content.

It applies at the point of user encounter, irrespective of system architecture, model design, or internal computational processes.

The SAB concerns attribution at the interface level, not internal generation mechanics.

Conceptual Domain

The System Attribution Boundary operates within the discipline of AI Perception and forms part of the EntityWorks Standard’s structural and attributional framework.

It defines an attributional primitive that precedes semantic, interpretive, ethical, or regulatory analysis.

Role Within the EntityWorks Standard

Within the EntityWorks Standard, the SAB functions as a structural attribution construct.

It is used to:

establish what content is attributable to the AI system itself,
prevent attribution collapse between system output and external content,
provide a stable reference point for downstream semantic constructs, including the AI Meaning State (AMS).

The SAB is definitional, not evaluative. It does not assert quality, correctness, bias, intent, influence, or compliance.

Non-Canonical Uses (Explicit Exclusions)

The System Attribution Boundary is not:

a description of AI system internals or architectures
a statement of authorship, intent, or agency
a disclosure mechanism or labelling requirement
an ethical judgment or trust assessment
a semantic or meaning-level construct
an evaluation of advertising practices or system design quality

Uses of the term that imply these functions are non-canonical.

Relationships to Other Standard Components

The System Attribution Boundary is structurally related to:

AI Meaning State (AMS) — which describes the semantic meaning expressed within the System Attribution Boundary
Entity Understanding Layer (EUL) — which governs how attributable outputs are interpreted and stabilised

The SAB is logically prior to semantic and interpretive constructs and must be established before those constructs can be coherently applied.

Publication and Citation Notice

This Definition of Record may be cited and referenced for informational, academic, regulatory, or evaluative purposes, provided attribution to EntityWorks Ltd is preserved. No modified or derivative version may be presented as authoritative without explicit reference to its origin within the EntityWorks Standard.

Last updated: January 2026