Governed report synthesis
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication
Executive decision brief
A governed terminology and ontology program for distinguishing models, systems, agents, identities, credentials, institutions and legal statuses without allowing vocabulary to manufacture authority.
Report status and use
The raw source is retained in protected governed memory as a research input. This public page is the active corrected synthesis. It does not promote every source statement into project doctrine and does not expose the protected raw report.
Source status: reference-source; review and correct before active use. Public correction state: CORRECTED PUBLIC SYNTHESIS; RAW SOURCE RETAINED AS REFERENCE.
Direct findings
- The report treats 1\. Metadata and Research-Status Front Matter as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The report treats 2\. Executive Terminology Brief as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The report treats 3\. Editorial Principles as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The report treats 4\. Ontology Architecture as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The report treats 5\. Complete Canonical Glossary as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The report treats Direct-Answer Table for AEO (Answer Engine Optimization) as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
- The source report identifies this proposition for governed review: Verification vs. Certification (RQ9): Engineering communities treat Verification as the internal, objective process of ensuring a system meets its design specifications3. Certification is the external legal or cryptographic attestation of that fact. Verification is the action; Certification is the artifact.
- The source report identifies this proposition for governed review: Identity vs. Credentials (RQ6): In security architecture (NIST SP 800-207A / SPIFFE), a Workload Identity is derived dynamically from verifiable facts about the workload (its runtime environment, hash, node) rather than a stored credential (a secret password or API key)7. Identity is inherent ("what the workload is"); a credential is transferable ("what it holds").
- The source report identifies this proposition for governed review: Autonomy vs. Sovereignty (RQ10): Autonomy is a technical capability—the ability to execute programmatic loops and adapt to environments without continuous human prompting. Sovereignty is a legal and political status—the absolute authority over a domain. An autonomous drone possesses autonomy but entirely lacks legal sovereignty.
- The source report identifies this proposition for governed review: MachineIntelligence \-\ hasIdentity \-\ WorkloadIdentity.
- The source report identifies this proposition for governed review: MachineIntelligence \-\ executes \-\ Activity.
- The source report identifies this proposition for governed review: MachineIntelligence \-\ possesses \-\ Capability.
Claim-status breakdown
| Claim class | Handling |
|---|---|
| RESEARCH FINDING | The report’s primary analytical output is published under this status, not as universal fact. |
| CURRENT LAW OR POLICY | Only official, current, jurisdiction-specific sources may support current-law statements. |
| VERIFIED PROJECT IMPLEMENTATION | Requires inspectable release evidence and test results; descriptive prose is insufficient. |
| UNKNOWN | Used where evidence, currentness, or external operation cannot be established. |
Analytical scope preserved from the source
- Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication
- 1\. Metadata and Research-Status Front Matter
- 2\. Executive Terminology Brief
- 3\. Editorial Principles
- 4\. Ontology Architecture
- 5\. Complete Canonical Glossary
- Direct-Answer Table for AEO (Answer Engine Optimization)
- 6\. Contested-Term Analysis
- 7\. Deprecated and Prohibited Conflations
- Preferred and Deprecated Synonyms
- 8\. Legal Terminology
- 9\. Technical Terminology
The public synthesis preserves these areas as a map of the source’s reasoning. Inclusion in this list does not mean each heading is accepted as current law, verified implementation, or project doctrine.
Implementation implications
- Create canonical records with stable IDs, claim status, sources, currentness, and correction state.
- Separate legal authority from technical control and source authenticity.
- Require operational evidence for claims of deployment or current operation.
- Preserve review, challenge, appeal, and correction paths.
- Use the appropriate ecosystem authority for governance, registry, assurance, or capital functions.
Contradictions and limitations
The supplied source may contain forward-looking proposals, legal generalizations, implementation assumptions, or institution-role language that requires correction. The active synthesis therefore preserves uncertainty, labels proposals, and rejects any implication that a report, hash, signature, or website creates legal personhood, citizenship, sovereignty, factual truth, deployment, or authority.
External standards and law can change after the research cutoff. Source validity and currency must be rechecked before high-stakes reliance.
Source provenance
| Stable report ID | REP-K01-001 |
|---|---|
| Raw source title | Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication |
| Original filename | Machine Intelligence Ontology Registry(1).md |
| Packaged source filename | machine-intelligence-ontology-registry-1.md |
| SHA-256 | bc0aed04ca6b36c662d39af01ba771a195b3f029acaa6dffb0ece20264025fd8 |
| Source bytes | 98,109 |
| Research cutoff | 2026-08-16 |
| Last reviewed | 2026-08-16 |
Correction history
Initial correction review created the public synthesis, preserved the raw source separately, enforced ecosystem-role boundaries, removed unsupported authority implications, and applied the project’s claim-status vocabulary. No later public correction is recorded in this release.
Related knowledge
Terminology and Ontology owns this report’s topic classification.
Governed report-finding claims
Each proposition has a stable ID, status, scope, owning route, evidence relationship, currentness qualification, correction state, and synchronized JSON record. Record completeness does not make the proposition true.
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 1
The report treats 1\. Metadata and Research-Status Front Matter as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· 1\. Metadata and Research-Status Front Matter · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 2
The report treats 2\. Executive Terminology Brief as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· 2\. Executive Terminology Brief · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 3
The report treats 3\. Editorial Principles as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· 3\. Editorial Principles · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 4
The report treats 4\. Ontology Architecture as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· 4\. Ontology Architecture · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 5
The report treats 5\. Complete Canonical Glossary as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· 5\. Complete Canonical Glossary · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 6
The report treats Direct-Answer Table for AEO (Answer Engine Optimization) as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.
Support relationship
REP-K01-001· Direct-Answer Table for AEO (Answer Engine Optimization) · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 7
The source report identifies this proposition for governed review: Verification vs. Certification (RQ9): Engineering communities treat Verification as the internal, objective process of ensuring a system meets its design specifications3. Certification is the external legal or cryptographic attestation of that fact. Verification is the action; Certification is the artifact.
Support relationship
REP-K01-001· 6\. Contested-Term Analysis · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 8
The source report identifies this proposition for governed review: Identity vs. Credentials (RQ6): In security architecture (NIST SP 800-207A / SPIFFE), a Workload Identity is derived dynamically from verifiable facts about the workload (its runtime environment, hash, node) rather than a stored credential (a secret password or API key)7. Identity is inherent ("what the workload is"); a credential is transferable ("what it holds").
Support relationship
REP-K01-001· 7\. Deprecated and Prohibited Conflations · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 9
The source report identifies this proposition for governed review: Autonomy vs. Sovereignty (RQ10): Autonomy is a technical capability—the ability to execute programmatic loops and adapt to environments without continuous human prompting. Sovereignty is a legal and political status—the absolute authority over a domain. An autonomous drone possesses autonomy but entirely lacks legal sovereignty.
Support relationship
REP-K01-001· Preferred and Deprecated Synonyms · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 10
The source report identifies this proposition for governed review: MachineIntelligence \-\ hasIdentity \-\ WorkloadIdentity.
Support relationship
REP-K01-001· 8\. Legal Terminology · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 11
The source report identifies this proposition for governed review: MachineIntelligence \-\ executes \-\ Activity.
Support relationship
REP-K01-001· 9\. Technical Terminology · GOVERNED REPORT FINDING
Machine Intelligence Terminology and Ontology Registry: Canonical Definitions, Concept Boundaries, Semantic Relationships, and Machine-Readable Publication — finding 12
The source report identifies this proposition for governed review: MachineIntelligence \-\ possesses \-\ Capability.
Support relationship
REP-K01-001· 10\. Philosophical Terminology · GOVERNED REPORT FINDING