AI Governance in Pharma: Building Trust in the Age of Artificial Intelligence

Artificial Intelligence is rapidly becoming part of pharmaceutical operations, supporting drug development, manufacturing, pharmacovigilance, quality management, and regulatory decision-making. While AI offers significant opportunities to improve efficiency and decision-making, its successful implementation depends on effective governance. In this episode of The GMP Insider, we examine why AI Governance is emerging as one of the most important quality challenges facing the pharmaceutical industry. Discussion topics include: • The importance of transparency and explainability in AI systems• Defining accountability for AI-supported decisions• Protecting data integrity throughout the AI lifecycle• Validation strategies for AI models in regulated environments• Continuous monitoring and performance oversight• Building governance frameworks that support innovation while maintaining regulatory compliance The pharmaceutical industry does not need AI that is simply powerful. It needs AI that is trustworthy, controlled, and aligned with patient safety and quality principles. Innovation opens the door. Governance ensures that organizations walk through it responsibly.