Knowledge Architecture:Concepts→Observations→Evidence

Interpretability (I)

I(e) — The degree to which an object is represented in machine-parseable forms that AI systems can understand and reason about.

Description

Interpretability requires structured representation with explicit schema, typed fields, and clear semantics. Human-readable narratives that require extraction are not interpretable in this sense. AI systems can only reason about what is explicitly represented in structured form.

Related Concepts

agent_readiness_indexstructured_representationmachine_readability

Related Research

Agent-Ready Market Infrastructure

Agent-Ready Market Infrastructure introduces the infrastructure layer for AI-mediated economies, specifying how economic entities, assets, and services can become discoverable, interpretable, comparable, verifiable, permissioned, and transaction-capable for AI agents. This document defines the Agent-Readiness Index (ARI) as a multiplicative measurement framework, the Global Agent-Readiness Index (GARI) for cross-border market access, universal Verified Property Records as persistent portable representation, jurisdictional legibility for legal interoperability, semantic portability for cross-system understanding, and computational eligibility as the prerequisite condition for allocative participation.

API Endpoints

https://homeself.ai/api/research/primitives/interpretability.json https://homeself.ai/api/research/primitives/interpretability.jsonld

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