Design the information supply for an AI system, including sources, refresh and exclusions.
Type Skill · introduced in version 1.29
Normative. These state what would be observed in a person who holds the statement.
Non-normative. Illustrative of evidence an awarding body might accept; not a required form.
Assumes
Statements a candidate is taken to hold already. Never at a higher level than this one.
Prepare source material so that a system can use it reliably.
Assumed by
Derived inverse. Statements that take this one as given.
Design the index, chunking and refresh strategy for a grounded system.
Related
Cross-domain relationships, stated in both directions and typed in the content model.
Diagnose how sensitive data reached a prompt, context window, log or output.
Referenced by
Entries on the register of conformance claims whose coverage map cites this statement.
No entry on the register cites this statement. This block is populated from the coverage maps of register entries as they are listed.
| Introduced | Version 1.29 |
|---|---|
| Last modified | Not modified since introduction |
| Status | active · stable |
| Version displayed | v1.29 |
| Permanent URL | aicertificationstandards.org/framework/statements/D2.L3.01 |
AI Certification Standards (2026) AICF D2.L3.01, D2 Data and information, version 1.29. Available at aicertificationstandards.org/framework/v1.29/statements/D2.L3.01 (accessed date).
Statements change through the published process, not by correspondence
An amendment to this statement, its indicators or its relationships is proposed through the contribution process. Every submission is answered on the record, and the reasoning for acceptance or rejection is published in the release record for the version that follows.
Propose an amendment to D2.L3.01Writing rules and the controlled verb list that govern how this statement is worded are published in the methodology.
This page displays version 1.29 · last reviewed 30.08.2026