Artificial Intelligence (AI) is rapidly transforming biometrics functions across the clinical trial lifecycle, from protocol design and statistical analysis planning to programming, data standardization and regulatory submissions. While the potential benefits of AI are substantial, organizations must also address critical challenges related to governance, validation, accountability, data privacy, reproducibility and regulatory compliance. This webinar explores how organizations can establish practical AI governance approaches that support responsible adoption while maintaining compliance and data integrity. Large pharmaceutical companies are investing heavily in enterprise-wide AI governance programs. However, small and mid-size pharmaceutical companies often face unique challenges, including limited resources, lean biometrics teams and evolving technology infrastructures. These organizations need practical and scalable approaches that support AI adoption and enable innovation while protecting data integrity, regulatory compliance and inspection readiness. This webinar will explore key considerations for implementing AI governance within biometrics, including the use of AI in clinical statistical programming, clinical reporting and regulatory submissions. The featured speakers will discuss risk assessment and validation approaches, human oversight and accountability, auditability, data privacy and security and emerging regulatory expectations. Practical use cases will also illustrate how these principles can be applied across AI-enabled biometrics workflows. Attendees will gain insight into building a governance framework that supports responsible AI adoption while helping mitigate operational and compliance risks and create efficient, scalable and inspection-ready biometrics processes. Register for this webinar to learn how effective AI governance can support responsible and compliant AI adoption across clinical biometrics workflows.