Machine Intelligence

Plain-language definition

The project’s preferred term when the subject is treated as an actor rather than only a field, model or software category.

The definition is intentionally bounded. It identifies the property or role under discussion without converting terminology into a claim of deployment, recognition, personhood, citizenship, sovereignty, or authority.

Technical definition

Within the K01 knowledge model, Machine Intelligence is represented as a stable term object with code K01-TERM-002, canonical URL, claim status, topic owner, source links, related terms, last-reviewed date, research cutoff, and correction state. Relevant implementation components for the owning topic include stable entity records; runtime and substrate inventories; continuity events; authority boundaries; decision provenance; correction and succession records.

Legal or policy use

Most current legal frameworks regulate software systems, products, providers or deployers; they generally do not establish a comprehensive status for Machine Intelligence as a rights-bearing legal person.

When a statute, regulation, standard, or external institution uses a different definition, that source-specific meaning controls the analysis of that source. The project definition is not silently substituted into current law.

What the term implies

The term implies that the stated property should be evaluated using the evidence appropriate to ontology, operational instantiation, persistence and evidence-qualified cognition. It supports precise reference, comparison, data exchange, and correction across public prose and machine records.

What the term does not imply

The label alone does not prove consciousness, personhood, citizenship, sovereignty or lawful authority.

It also does not convert a valid signature, credential, database record, model hash, or website into factual truth or legal authority without additional evidence and a competent decision.

Commonly confused terms

• Machine
• Intelligence
• Signed docket import

Confusion is resolved by asking which property is actually at issue: technical control, continuity, evidence, authority, legal recognition, operation, or normative status.

Operational test

1. Name the subject and purpose.
2. Identify the source definition and jurisdiction or technical context.
3. Collect evidence for the specific property.
4. Record currentness and limitations.
5. Route any governance, registry, assurance, or capital decision to the proper authority.

Related questions

• What is Machine Intelligence?
• How is Machine Intelligence different from Artificial Intelligence?
• Why is a model not the same as a Machine Intelligence?
• Can a valid signed history import promote an event automatically?

Sources

• Artificial Intelligence Risk Management Framework (AI RMF 1.0) — NIST; AI RMF 1.0; Published voluntary framework; revision underway. Exact claim-support entries: 2. Revalidated 2026-08-14T22:04:09Z.
• PROV-O: The PROV Ontology — W3C; W3C Recommendation 30 April 2013; W3C Recommendation. Exact claim-support entries: 2. Revalidated 2026-08-14T22:04:09Z.
• European Union Artificial Intelligence Act information portal — European Commission; EU Artificial Intelligence Act implementation page, updated through 2026-08-14 research cutoff; Current law and official implementation guidance. Exact claim-support entries: 3. Revalidated 2026-08-14T22:04:09Z.

Stable term code: K01-TERM-002. Last reviewed 2026-08-16.