Chapter 04 · Model Lifecycle

Model Lifecycle as a reviewable surface.

The model lifecycle covers design, training, testing, deployment, monitoring, change, incident response, and retirement. Each stage changes what evidence is needed.

Focus: concept · data · model · evidenceRisk: confusing capability with readinessBridge: language · controls · records
Foundations traceConceptDataModelEvidenceHumanReviewAIsystemsource to workflow to evidence to review
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Model Lifecycle chapter.

Foundations

The model lifecycle covers design, training, testing, deployment, monitoring, change, incident response, and retirement. Each stage changes what evidence is needed.

/ A

What this page maps.

operating content
Design

Design

Intended use, user group, workflow fit, risk tier, and acceptance criteria.

Operation

Operation

Deployment environment, access, logging, human review, support, and fallback route.

Change

Change

Versioning, retraining, drift handling, updates, rollback, and retirement.

/ B

Governance questions.

review logic
Question

What decision or record does this model lifecycle surface influence, and who owns that decision?

Question

Which evidence is needed before routine use in Foundations, and where is it retained?

Question

What signal triggers review, restriction, escalation, or retirement?

/ evidence

Evidence-ready minimum record.

iFeed use
Minimum record
OwnerNamed operational, clinical, technical, and governance owners.
UseClear intended use, user group, workflow point, and excluded use.
RiskRisk tier, rationale, residual risks, controls, and escalation route.
EvidenceSource claims, validation basis, limitations, approval decision, and review date.
/ sources

Source anchors and claim boundary.

official first

These anchors support the source layer for this page. iFeed interpretation remains separate from source facts and does not replace legal, regulatory, clinical, or product-specific advice.