Linked.Archi AI Ethics & Governance Extension
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Linked.Archi AI Ethics & Governance Extension

Release: 2026-05-03

Modified on: 2026-05-03
This version:
https://meta.linked.archi/ai-governance/onto/0.1.0#
Revision:
0.1.0
Authors:
Kalin Maldzhanski
Publisher:
Linked.Archi
Imported Ontologies:
core#
onto#
See also:
https://eur-lex.europa.eu/eli/reg/2024/1689/oj
https://oecd.ai/en/ai-principles
https://www.nist.gov/itl/ai-risk-management-framework
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License:
http://creativecommons.org/licenses/by/4.0/
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Cite as:
Linked.Archi AI Ethics & Governance Extension
Provenance of this page
draft

Abstract

Ontology for AI ethics and governance within the Linked.Archi ecosystem.

Linked.Archi AI Ethics & Governance Extension: Overview back to ToC

This ontology has the following classes and properties.

Classes

Object Properties

Data Properties

Named Individuals

Linked.Archi AI Ethics & Governance Extension: Description back to ToC

Extension ontology for AI ethics and governance. Provides element types, properties, and reference data for managing AI system risk classification, conformity assessment, bias assessment, explainability documentation, human oversight plans, and governance policies. Builds on the ML-Enabled Systems extension (mlsys:) by adding the governance layer that connects ML components to regulatory frameworks (EU AI Act), ethical principles (OECD AI Principles), and organizational AI governance policies. Motivated by Gartner 2025 Leadership Vision identifying AI ethics and governance as a critical gap in EA teams, and by the EU AI Act (Regulation 2024/1689) requiring formal risk classification and conformity assessment for high-risk AI systems. Trademarked names referenced herein are property of their respective owners.

Cross-reference for Linked.Archi AI Ethics & Governance Extension classes, object properties and data properties back to ToC

This section provides details for each class and property defined by Linked.Archi AI Ethics & Governance Extension.

Classes

AI Principlec back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#AIPrinciple

A responsible AI principle — an ethical guideline that AI systems should adhere to. Sourced from OECD AI Principles, EU Ethics Guidelines for Trustworthy AI, and organizational AI policies.

AI Risk Levelc back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#RiskLevel

Classification of AI system risk according to the EU AI Act (Regulation 2024/1689). Risk levels determine the regulatory obligations that apply to an AI system.

AI Systemc back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#AISystem

has super-classes
Element c
is also defined as
named individual

Assessment Statusc back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#EngagementStatus

Status of a conformity or bias assessment.

Data Governance Recordc back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#DataGovernanceRecord

A record of data governance measures applied to training and evaluation data — data quality checks, representativeness analysis, consent verification, anonymization measures, and data retention policies.

Human Oversight Modec back to ToC or Class ToC

IRI: https://meta.linked.archi/ai-governance/onto#OversightMode

The mode of human oversight applied to an AI system. Determines the degree of human involvement in AI decision-making.

Object Properties

assessed against principleop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#assessedAgainstPrinciple

Links an assessment to the AI principle it evaluates.

assessed byop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#assessedBy

The stakeholder who performed the assessment.

classified asop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#classifiedAs

The risk level assigned in a risk classification.

classified byop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#classifiedBy

The stakeholder who performed the risk classification.

governed byop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#governedBy

Links an AI system to the governance policy that applies to it.

has bias assessmentop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasBiasAssessment

Links an AI system to a bias assessment.

has conformity assessmentop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasConformityAssessment

Links an AI system to a conformity assessment.

has data governance recordop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasDataGovernanceRecord

Links an AI system to its data governance documentation.

has explainability reportop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasExplainabilityReport

Links an AI system to its explainability documentation.

has human oversight planop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasHumanOversightPlan

Links an AI system to its human oversight plan.

has incidentop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasIncident

Links an AI system to an incident record.

has risk classificationop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasRiskClassification

Links an AI system to its risk classification.

has transparency recordop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#hasTransparencyRecord

Links an AI system to its transparency documentation.

mandates principleop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#mandatesPrinciple

Links a governance policy to the AI principles it mandates.

oversight modeop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#oversightMode

The mode of human oversight applied to an AI system.

oversight responsibleop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#oversightResponsible

The stakeholder or role responsible for human oversight.

wraps ML modelop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#wrapsMLModel

Links an AI system governance wrapper to the ML model it governs.

wraps serving infrastructureop back to ToC or Object Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#wrapsServingInfra

Links an AI system governance wrapper to the serving infrastructure it governs.

Data Properties

assessment datedp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#assessmentDate

The date the assessment was performed.
has range
date

assessment findingsdp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#assessmentFindings

Detailed findings from the assessment.
has range
string

assessment resultdp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#assessmentResult

The result of an assessment — Pass, Fail, or Conditional with rationale.
has range
string

classification datedp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#classificationDate

The date the risk classification was performed.
has domain
Risk Classification c
has range
date

classification rationaledp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#classificationRationale

The rationale for the risk classification decision.
has domain
Risk Classification c
has range
string

escalation proceduredp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#escalationProcedure

Description of the escalation procedure when human intervention is required.
has domain
Human Oversight Plan c
has range
string

incident datedp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#incidentDate

The date the AI incident occurred.
has domain
AI Incident c
has range
date

incident descriptiondp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#incidentDescription

Description of the AI incident.
has domain
AI Incident c
has range
string

incident severitydp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#incidentSeverity

Severity of the AI incident (critical, high, medium, low).
has domain
AI Incident c
has range
string

intervention conditionsdp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#interventionConditions

Conditions under which human intervention is required.
has domain
Human Oversight Plan c
has range
string

policy effective datedp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#policyEffectiveDate

The date the governance policy takes effect.
has domain
AI Governance Policy c
has range
date

policy scopedp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#policyScope

The scope of the AI governance policy (organization-wide, business unit, project).
has domain
AI Governance Policy c
has range
string

references frameworkdp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#referencesFramework

External framework referenced by the policy (EU AI Act, OECD Principles, NIST AI RMF, ISO 42001).
has domain
AI Governance Policy c
has range
string

remediation actiondp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#remediationAction

Required or recommended remediation action based on assessment findings.
has range
string

root cause analysisdp back to ToC or Data Property ToC

IRI: https://meta.linked.archi/ai-governance/onto#rootCauseAnalysis

Root cause analysis of the AI incident.
has domain
AI Incident c
has range
string

Named Individuals

AI Accountabilityni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AIAccountabilityConcern

Clear assignment of responsibility for AI system behavior — who is accountable for decisions made by or with AI assistance, who is responsible for monitoring, and who handles incidents.
belongs to
Concern c
has facts
definition ap "Clear assignment of responsibility for AI system behavior — who is accountable for decisions made by or with AI assistance, who is responsible for monitoring, and who handles incidents."@en
pref Label ap "AI Accountability"@en

AI Governance Overviewni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AIGovernanceOverviewViewpoint

High-level overview of AI governance across the organization — which AI systems exist, their risk classifications, conformity assessment status, and governing policies. The entry point for AI governance stakeholders.
belongs to
Viewpoint c
has facts
includes Concept op AI Governance Policy ni
includes Concept op AI System ni
includes Concept op Conformity Assessment ni
includes Concept op Risk Classification ni
targets Stakeholder op Ethics Officer ni
view Type op Catalog ni
view Type op Matrix ni
viewpoint Frames Concern op AI Accountability ni
viewpoint Frames Concern op AI Regulatory Compliance ni
viewpoint Has Purpose op Governing ni
viewpoint Has Purpose op Informing ni
definition ap "High-level overview of AI governance across the organization — which AI systems exist, their risk classifications, conformity assessment status, and governing policies. The entry point for AI governance stakeholders."@en
pref Label ap "AI Governance Overview"@en

AI Incident Trackingni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AIIncidentViewpoint

View of AI incidents — bias events, safety failures, adversarial attacks, and their resolution. Used for post-incident analysis and continuous improvement of AI governance.
belongs to
Viewpoint c
has facts
includes Concept op AI Incident ni
includes Concept op AI System ni
targets Stakeholder op Ethics Officer ni
targets Stakeholder op M L Engineer ni
view Type op Catalog ni
viewpoint Frames Concern op AI Accountability ni
viewpoint Frames Concern op AI Regulatory Compliance ni
viewpoint Has Purpose op Governing ni
definition ap "View of AI incidents — bias events, safety failures, adversarial attacks, and their resolution. Used for post-incident analysis and continuous improvement of AI governance."@en
pref Label ap "AI Incident Tracking"@en

AI Regulatory Complianceni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#RegulatoryComplianceConcern

Compliance of AI systems with applicable regulations — EU AI Act, GDPR, sector-specific regulations (financial services, healthcare, employment). Includes risk classification, conformity assessment, and ongoing monitoring obligations.
belongs to
Concern c
has facts
definition ap "Compliance of AI systems with applicable regulations — EU AI Act, GDPR, sector-specific regulations (financial services, healthcare, employment). Includes risk classification, conformity assessment, and ongoing monitoring obligations."@en
pref Label ap "AI Regulatory Compliance"@en

AI Risk Assessmentni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AIRiskAssessmentViewpoint

Detailed view of AI system risk — risk classification rationale, bias assessments, explainability reports, and human oversight plans. Used for conformity assessment preparation and regulatory reporting.
belongs to
Viewpoint c
has facts
includes Concept op AI System ni
includes Concept op Bias Assessment ni
includes Concept op Explainability Report ni
includes Concept op Human Oversight Plan ni
includes Concept op Risk Classification ni
targets Stakeholder op Data Scientist ni
targets Stakeholder op Ethics Officer ni
view Type op Catalog ni
view Type op Matrix ni
viewpoint Frames Concern op Human Oversight of AI ni
viewpoint Frames Concern op AI Regulatory Compliance ni
viewpoint Has Purpose op Deciding ni
viewpoint Has Purpose op Governing ni
definition ap "Detailed view of AI system risk — risk classification rationale, bias assessments, explainability reports, and human oversight plans. Used for conformity assessment preparation and regulatory reporting."@en
pref Label ap "AI Risk Assessment"@en

AI Transparencyni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AITransparencyConcern

The degree to which AI system behavior, capabilities, and limitations are communicated to users, affected persons, and regulators. Includes disclosure obligations under the EU AI Act.
belongs to
Concern c
has facts
definition ap "The degree to which AI system behavior, capabilities, and limitations are communicated to users, affected persons, and regulators. Includes disclosure obligations under the EU AI Act."@en
pref Label ap "AI Transparency"@en

AI Transparency & Disclosureni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#AITransparencyViewpoint

View of transparency obligations — which AI systems require disclosure to users, what transparency records exist, and what information is provided to affected persons.
belongs to
Viewpoint c
has facts
includes Concept op AI System ni
includes Concept op Transparency Record ni
targets Stakeholder op Ethics Officer ni
view Type op Catalog ni
viewpoint Frames Concern op AI Transparency ni
viewpoint Has Purpose op Governing ni
definition ap "View of transparency obligations — which AI systems require disclosure to users, what transparency records exist, and what information is provided to affected persons."@en
pref Label ap "AI Transparency & Disclosure"@en

Human Oversight of AIni back to ToC or Named Individual ToC

IRI: https://meta.linked.archi/ai-governance/onto#HumanOversightConcern

Ensuring appropriate human control over AI system decisions — the ability to understand, intervene in, and override AI outputs when necessary.
belongs to
Concern c
has facts
definition ap "Ensuring appropriate human control over AI system decisions — the ability to understand, intervene in, and override AI outputs when necessary."@en
pref Label ap "Human Oversight of AI"@en

Legend back to ToC

c: Classes
op: Object Properties
dp: Data Properties
ni: Named Individuals

Acknowledgments back to ToC

The authors would like to thank Silvio Peroni for developing LODE, a Live OWL Documentation Environment, which is used for representing the Cross Referencing Section of this document and Daniel Garijo for developing Widoco, the program used to create the template used in this documentation.