Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably

Version 3.0 of this working paper presents the AI-Supported Work Authorization Cycle for deciding whether a defined pharmaceutical AI workflow may proceed, under what conditions, on what evidence, and what finding requires restriction or withdrawal. It adds a worked Stage 3 acceptance criterion, a filled fictional-manufacturer Gate Decision Record, a consolidated first-appearance source list, and a fictional worked example. Supporting templates are available at https://www.gxpframe.com/governing-ai/.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-20
DOI
https://doi.org/10.5281/zenodo.22838971
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably

Brian Drapeau
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Governing AI in Pharmaceutical Operations: How to decide what AI may do and whether people can use it reliably

Brian Drapeau
article en

Abstract

Version 3.0 of this working paper presents the AI-Supported Work Authorization Cycle for deciding whether a defined pharmaceutical AI workflow may proceed, under what conditions, on what evidence, and what finding requires restriction or withdrawal. It adds a worked Stage 3 acceptance criterion, a filled fictional-manufacturer Gate Decision Record, a consolidated first-appearance source list, and a fictional worked example. Supporting templates are available at https://www.gxpframe.com/governing-ai/.

Zenodo (CERN European Organization for Nuclear Research)
Fund for the Replacement of Animals in Medical Experiments (GB)
Openalex Percentile: Top 15%
Artificial Intelligence in Healthcare and Education
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