Navigate AI-supported decision-making, preserve regulatory compliance, and safeguard human accountability in life sciences.
Cognitive Governance provides an executive framework for governing Artificial Intelligence (AI) and Generative AI in regulated environments, with a primary focus on pharmaceutical quality, GxP activities, and life sciences.
As advanced analytics and GenAI increasingly summarize evidence, generate hypotheses, rank risks, and draft decision narratives, traditional process controls are no longer sufficient on their own. Organizations must also govern the reasoning pathways through which AI-supported outputs are interpreted, challenged, documented, and translated into accountable human decisions.
The book introduces the Cognitive Backbone, a decision-governance architecture designed to preserve human judgment, decision ownership, reasoning integrity, decision traceability, and inspection defensibility as analytical intelligence expands. Rather than treating AI governance as a purely technical challenge, it focuses on organizational accountability and on keeping decisions affecting product quality, patient safety, regulatory compliance, and operational continuity explainable, reviewable, and defensible under audit and regulatory scrutiny.
Written for senior leaders across quality, regulatory affairs, operations, digital, data, and IT, the book offers a practical governance perspective for integrating AI capabilities into pharmaceutical quality systems without weakening professional judgment or human accountability.
