Trustworthy AI Agent Standards Family · Open Digital Product Factory

Purpose

This page is the navigation and ownership map for the DPF-originated AI agent standards family. It does not add normative controls. The individual standards remain authoritative for their own subjects.

Standards map

Standard	Canonical source	Question answered	Normative owner
Trusted AI Kernel (`TAK`)	trusted-ai-kernel.md	May this agent act, under whose authority, through which tools and data, with what oversight and evidence?	Runtime harness, authority, action gating, memory, audit, safety, and earned-autonomy enforcement
Global AI Agent Identification and Governance (`GAID`)	GAID.md	Who is this agent, which operating profile is active, what claims are advertised, and how can a relying party verify their status?	Identity, AIDoc, claims, badges, receipts, lifecycle, and cross-boundary verification
Job-Specific Intelligence profile (`TAK-JSI`)	job-specific-intelligence.md	Is this identified operating profile qualified for this job, activity, data scope, and risk context, and what evidence keeps that qualification current?	Job definition, qualification scheme, evidence, surveillance, revalidation, and qualification-to-autonomy boundaries

The family’s relationship to NIST, ISO/IEC, IEEE, W3C, IETF, OpenID, 1EdTech, and adjacent protocol work is maintained in the informative External Standards Alignment companion. That document is the single source of truth for cross-standard gap analysis, synergy, augmentation boundaries, and venue allocation. The informative Standards Contribution Roadmap owns engagement sequencing, readiness gates, contribution packages, and go/no-go criteria.

Enterprise operating-model bridge

The Four-Portfolio Archetype and AI Workforce Operating Standard is an adjacent enterprise standard, not a fourth member of the agent-assurance family. It owns where AI coworkers sit in the four portfolios, how business Products and industry value streams relate to DigitalProducts, how human/AI work is allocated, and how the resulting trace and gaps are assessed. It composes this family whenever an AI coworker is realized as both a managed DigitalProduct and an identity-bearing Performer; it does not redefine TAK, GAID, or TAK-JSI controls.

Composition rule

The standards compose around one governed action:

GAID resolves the enduring AI Coworker identity and the versioned operating profile.
TAK-JSI determines whether that profile is qualified for the requested job/activity scope.
TAK intersects the principal’s authority, the coworker’s grants, the route/workflow policy, the data constraints, and the applicable qualification/autonomy ceiling at execution time.
GAID binds the resulting action receipt and current qualification status back to the identifiable subject.

No document widens another document’s authority:

a GAID claim is not live authorization
a TAK-JSI qualification is not permission to act
a TAK permission is not evidence of job competence
a model card, system card, or generic benchmark is not a job qualification

Adjacent DPF concepts

Concept	Relationship to the standards family
AI Coworker	DPF’s managed dual-aspect concept: a DigitalProduct owns lifecycle, release, component, and deployment truth; BusinessProductOffering owns commercial terms, OperationalServiceOffering owns service commitments, and CoworkerOffer/CoworkerEngagement own coworker-service terms and acceptance. An AgentSubject/Performer carries a `GAID`, operating profile, job qualifications, assignments, and runtime authority under `TAK`
Four-Portfolio Archetype and AI Workforce Operating Standard	Owns enterprise portfolio, Product, industry-flow, work-allocation, human/AI composition, conformance, and gap semantics around the agent-assurance family
WSID	Owns profession and craft doctrine: the knowledge, techniques, evidence practices, and decision axes a job requires
JSI	Composes job requirements, WSID material, data/tool/model constraints, evaluations, and outcome evidence into a qualification lifecycle
Proactivity	Expresses how readily a coworker should initiate or continue work; it cannot widen authority, qualification, or a regulatory/data ceiling
Earned autonomy	The runtime permission level justified by evidence for a specific `(coworker × activity × risk)` scope
Golden Triangle	Compiles human cost/quality/time posture into effort, model tier, verification depth, review depth, and retries; it allocates assurance resources but does not prove competence
Data stewardship	Establishes the classification, quality, provenance, use, retention, residency, and accountable ownership constraints that both qualification and runtime routing must honor

Source-of-truth rule

Normative requirements belong in exactly one standard:

runtime controls go in TAK
identity and claim-envelope controls go in GAID
job qualification controls go in TAK-JSI
enterprise portfolio, Product/value-flow, work-allocation, and dual-aspect controls go in the Four-Portfolio Archetype and AI Workforce Operating Standard

White papers, conformance rubrics, diagrams, DPF assessments, and generated Word files are derived companions. They may summarize the standards but must link back to the canonical normative source.

External crosswalks are derived companions and belong in agent-standards-external-alignment.md. Submission execution guidance belongs in agent-standards-contribution-roadmap.md. Specific technical requirements remain with the normative owner named above.