AI changes the evidence pattern, not the need for control.
EU AI ActInventory control
Every AI system needs owner, intended use, data source, actor role, and risk hypothesis.
Literacy evidence
Training should map to role, technical knowledge, use context, and affected persons.
Human oversight
Oversight has to be designed into workflow, not written as a principle only.
Monitoring
Performance and incident learning should feed post-market or operational review.
AI governance must connect to existing regulated systems.
not isolatedAI system inventory with intended use and owner
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
Actor-role decision record
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
Risk classification rationale
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
AI literacy training map by role
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
Human oversight description
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
Technical documentation index
Connect this evidence to QMS, clinical, software, supplier, data, or lifecycle governance where applicable.
Current public sources for EU AI Act.
official firstThese links are the public source anchors for this workspace. Interpretation, checklists, and future assets should point back here before being reused outside iFeed.
Regulation (EU) 2024/1689
2024-07-12 · Primary source for articles, definitions, annexes, obligations, and application dates.
European Commission AI Act policy page
Current · Commission implementation context, timeline framing, and policy explanation.
AI literacy questions and answers
Current · Commission-facing practical Q&A for Article 4 AI literacy expectations.
AI Act implementation timeline
Current · Application milestones and phased implementation context for public tracking.