Part 4 · Control records, changes, and ongoing use

Chapter 16: AI Outputs as Controlled Records

Define which AI-related information becomes a controlled record and how it is retained.

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Decide what information becomes part of the process record

Separate transient generation from the approved outcome. Determine which inputs, versions, outputs, review decisions, and technical details are needed for traceability, investigation, retention, and applicable obligations. Do not assume every token must be retained or that nothing matters because the output began as a draft.

Worked example — fictional

A reviewer accepts three AI-suggested findings, rejects two, and adds one independently identified issue. The approved review record needs to distinguish the final findings and their disposition. Depending on the assessed process, supporting generation and source information may also be needed to reconstruct significant decisions or investigate a failure.

Practical questions

Which system is authoritative? Can approved content be changed without the required control? Is generated text clearly labeled before approval? Can a user recover the relevant source version? Are personal or confidential details unnecessarily copied into logs? What happens when the AI service retention period is shorter than the organization’s record needs?

Completed record boundary: “The eQMS retains the approved review outcome. Supporting evaluation artifacts are stored under the approved evidence-retention approach. The external AI chat history is not treated as the sole authoritative record.”

Exercise

An assistant-generated review is exported to PDF and digitally signed. Does that prove the underlying content is correct?

Show suggested answer

No. Approval and signature controls address aspects of the record and decision; content correctness still depends on the review and supporting evidence.

Expected records

A record assessment identifying the authoritative outcome, supporting records, access, revision/signature needs, retrieval and retention. Adapt record names and detail to the applicable procedures; these are practitioner examples, not a universal mandatory document list.

Relevant regulations and guidance

Regulations set requirements within their scope; guidance offers recommendations or explains applicable expectations; standards depend on adoption or incorporation. Voluntary frameworks do not establish compliance. The lesson's controls, test designs and example records are practitioner suggestions unless explicitly identified otherwise.

21 CFR Part 11 — Electronic Records; Electronic Signatures ↗

Regulation · U.S. Food and Drug Administration · Current eCFR text

Scope: United States · Electronic records and signatures within FDA Part 11 scope, tied to the underlying required records.

Relevance to this lesson: Establish applicable electronic-record/signature requirements before selecting controls.

Publication status: Final / published. Source checked 21 September 2026.

Publication identity, scope and status checked against the linked official source. This is not an independent audit of every retained guide statement.

Source details and applicability

EudraLex Volume 4, Annex 11 — Computerised Systems ↗

GMP guideline · European Commission · January 2011 revision

Scope: European Union · Computerised systems supporting activities in the applicable EU pharmaceutical GMP context.

Relevance to this lesson: Consider applicable GMP computerised-system expectations for the actual record process.

Publication status: Final / published. Source checked 21 September 2026.

The Commission index confirms the January 2011 operative revision. The linked PDF could not be retrieved in this check; retained detailed section mappings need review against an authorized copy.

Source details and applicability

Guideline on computerised systems and electronic data in clinical trials ↗

Guidance · European Medicines Agency · EMA/INS/GCP/112288/2023

Scope: European Union · Sponsors, investigators and service providers using computerised systems and electronic data in clinical trials.

Relevance to this lesson: For clinical-trial records, assess the trial context and relevant actors separately.

Publication status: Final / published. Source checked 21 September 2026.

Publication identity, scope and status checked against the linked official source. This is not an independent audit of every retained guide statement.

Source details and applicability
Editorial information and limitations

Educational chapter · Editorial version 2.0. The update date records substantive site editing; a completed independent technical review is not claimed.

AI tools assisted drafting and structural editing. Examples and results labelled fictional or synthetic are teaching material. Adapt the methods to the actual intended use, applicable requirements and approved procedures.

Estimated reading time uses the written lesson at 220 words per minute, with links and Markdown formatting removed. Video time comes from the media file and is separate.

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