Chapter 09 · Updates & Assets
Updates & Assets as a reviewable surface.
The updates and assets layer keeps AI Governance alive through weekly signals, source maps, checklists, explainers, and revision notes.
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Updates & Assets chapter.
AI GovernanceThe updates and assets layer keeps AI Governance alive through weekly signals, source maps, checklists, explainers, and revision notes.
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What this page maps.
operating contentWeekly signal shelf
Stores source-backed updates that change understanding, risk, or operational work.
Reusable assets
Turns learning into checklists, source maps, readiness questions, and outreach material.
Revision discipline
Dates every change and separates source fact from iFeed interpretation.
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Governance questions.
review logicWhat decision or record does this updates & assets surface influence, and who owns that decision?
Which evidence is needed before routine use in AI Governance, and where is it retained?
What signal triggers review, restriction, escalation, or retirement?
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Evidence-ready minimum record.
iFeed useOwnerNamed 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.
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Source anchors and claim boundary.
official firstThese 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.
WHO ethics and governance of AI for health →WHO regulatory considerations on AI for health →NIST AI Risk Management Framework 1.0 →EU AI Act Regulation (EU) 2024/1689 →ISO/IEC 42001 AI management systems →FDA AI/ML-enabled medical devices →FDA, Health Canada, and MHRA good machine learning practice guiding principles →FDA PCCP guiding principles for ML-enabled devices →IMDRF SaMD clinical evaluation →ONC Health Data, Technology, and Interoperability rule →