AI Source Freshness Policies: George Dagliyan Research Guide

What problem does a source freshness policy solve for AI retrieval work?

George Dagliyan’s research themes make one thing clear: AI systems depend on trust signals, and retrieved policy documents are only trustworthy when their currency is known. The practical question is not just whether a document exists, but which version governs a decision at the moment it is used. A source freshness policy gives teams a repeatable way to label, compare, and retire policy documents without guessing.

This article proposes an editorial policy for document freshness and revalidation. It treats publication date, effective date, review date, and retrieval time as separate facts, because those dates answer different questions. Publication says when the document was released, effective says when it should be treated as operative, review says when the issuing body indicates the next look is due, and retrieval says when your team captured it.

Why are publication, effective, review, and retrieval dates not interchangeable?

Publication date is the date a document was made public, but public availability does not automatically mean immediate operative force. Effective date is the date the document begins applying, if the source provides one. Review date signals when the issuing body expects the material to be examined again, while retrieval time captures the exact moment your team accessed the source for a workflow or decision.

These fields are not duplicates because they support different controls. A document can be newly published yet not yet effective, or it can remain effective while its review date passes. Retrieval time matters because it lets a team reconstruct what was known at the moment of use, which is essential when documents are updated later and the earlier version is no longer visible at the same URL.

What source metadata should be captured at retrieval?

The worksheet below is a proposed internal control, not an official standard. It is designed to make retrieved policy documents auditable and comparable across teams. Capture the source name, title, URL, version label if present, publication date, effective date, review date, retrieval timestamp, retrieval method, and a short note on any version signals such as errata, superseding notices, or archive pages.

Proposed worksheet fields: Source organization; document title; document identifier or DOI if present; publication date; effective date; review date; retrieval timestamp in a single time zone; access path such as live page, PDF, or archive; visible version statement; and a conflict note. If a date is missing, record “not stated” rather than inferring it from another field. If a field differs between formats, record the conflict instead of collapsing it early.

How should a team decide whether a source is fresh enough?

Freshness should be decided by policy rules, not by a universal number of days. A simple decision rule is: first check whether the source is the current version; second check whether the version has an effective date that makes it operative for the question at hand; third check whether the retrieval time is documented; and fourth decide whether the document’s date signals a need for manual review under the team’s own policy.

This rule intentionally avoids arbitrary age thresholds. A source can be “fresh enough” for one task and not for another, depending on whether the task requires current guidance, historical reconstruction, or comparison across versions. The main control is not age alone, but whether the team can prove which version was used and whether that version was the latest applicable one when retrieved.

How should conflicting versions be resolved without guesswork?

Conflicts should be resolved by precedence, then by provenance, then by escalation. If the same document appears in multiple places, prefer the version explicitly marked as current or superseding. If no current marker exists, prefer the source-hosted version over a secondary copy, because the issuing organization has the clearest authority over its own document. If two source-hosted versions conflict, preserve both records and escalate for manual review.

The W3C PROV overview defines provenance as information about entities, activities, and people involved in producing a piece of data or thing, and it highlights versioning as one of the broad needs of provenance frameworks. In practical document handling, that means a conflict is not hidden; it is recorded as a provenance event so the team can later explain which version was chosen and why.

How does NIST and W3C material support this policy approach?

NIST’s Generative Artificial Intelligence Profile is described as a cross-sectoral profile and companion resource for the AI Risk Management Framework, and the NIST page states that the AI RMF was released in January 2023 and intended for voluntary use. That framing matters because AI governance work often relies on external guidance, and guidance can change over time. A freshness policy helps teams avoid treating a static copy as if it were perpetually current.

W3C’s PROV family provides a vocabulary and model for provenance information that can be used to assess quality, reliability, or trustworthiness, and the PROV overview also notes support for versioning and reproducibility. This article uses those provenance ideas editorially: if a policy document is central to an AI control, the team should be able to show what version was used, when it was retrieved, and how any competing copy was handled.

What would a worked hypothetical example look like in practice?

Hypothetical scenario: an AI governance analyst is comparing two copies of a policy document found during an internal review. Example assumptions: one copy shows a publication date and no effective date; the other shows a later publication date, an explicit effective date, and a note that it supersedes earlier guidance. The analyst also recorded the retrieval timestamp for both copies on the same day.

Using the proposed worksheet, the analyst marks the later source-hosted copy as preferred because it is the explicitly current version and contains a clearer provenance trail. The earlier copy is retained as an archived reference with a conflict note, not discarded. If the later copy had no clear supersession statement, the analyst would not invent a conclusion; the item would move to manual review until the version relationship was verified.

How can teams operationalize revalidation instead of letting documents quietly expire?

Revalidation should be triggered by evidence, not by a hidden clock. Good triggers include a new publication notice from the source, an updated effective date, a changed review date, a conflict between cached and live copies, or a downstream decision that depends on a document whose status is no longer clear. The team’s policy should tell reviewers what to check, not force them to guess a generic stale date.

A practical control is to attach a revalidation status to every retrieved source: current, due for review, superseded, or unresolved. That status should be updated whenever a document is reused in a policy decision, not just when it is first collected. This creates a living source register that supports auditability, reduces confusion across teams, and makes later review possible without relying on memory.

Frequently Asked Questions

What is the main difference between publication date and effective date?

Publication date tells you when a document was released to the public or made visible by the source. Effective date tells you when the source says the document should begin applying. A document can be published before it becomes effective, so a freshness policy should never treat those two fields as interchangeable.

Why record retrieval time if the document already has dates on it?

Retrieval time shows when your team actually accessed the source, which matters when a page later changes or disappears. It helps reconstruct what version was available at the time of use. Without retrieval time, a later reviewer may know the document existed but not which version informed the original decision.

How should a team handle a document that has no effective date listed?

Do not infer an effective date from publication, review, or retrieval information. Record the missing field as “not stated” and treat that as a provenance gap. If the document is important enough to drive a policy decision, route it for manual verification or use a source copy that clearly states the operative version.

Is there a universal number of days after which a source becomes stale?

No universal day count should be treated as a standard in this policy. Different document types age differently, and the right freshness test depends on the decision being made. A procurement policy, an AI governance profile, and a historical reference may each have different revalidation needs even if they are the same age.

What should happen when two versions of the same policy conflict?

Keep both records, note the conflict, and choose the version with the clearest provenance and strongest indication of currency. Prefer an explicitly current or superseding source-hosted version when available. If the relationship is still unclear, do not collapse the versions into one record; escalate the item for manual review.

Sources and further reading

• NIST — Generative Artificial Intelligence Profile
• W3C — PROV Overview