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Building AI Governance Frameworks: Classification, Validation and Regulatory Alignment in Life Sciences
Session Chair(s)
Sridevi Nagarajan, PHD
DIA Communities Chair for AI in Healthcare
Ayusarogya, United Kingdom
This session presents AI consortium working group assessments on regulatory frameworks, use case classification, and validation approaches. Participants engage with practical tools while demystifying real AI deployments and regulatory requirements.
Learning Objective : Apply standardized AI use case classification frameworks to drug development and research-related scenarios; Recognize risk-based, practical assessment, governance and validation approaches for AI systems across regulatory contexts and use cases; Demonstrate utilizing aligned terminology for cross-jurisdictional AI discussions.
Speaker(s)
Panelist
Michael Lingzhi Li, PHD
Harvard Business School, United States
Assistant Professor
Panelist
Carrie Nielson, MPH
Gilead Sciences, United States
Director of Epidemiology
Panelist
Venkatraman Balasubramanian, MBA
VB Insights, LLC, United States
Healthcare and Life Sciences Strategic Advisor
Panelist
Leon Rozenblit, JD, PHD
Q.E.D. Institute, United States
Executive Director
Panelist
Christina Mack, MPH
IQVIA, United States
CSO RWE and SVP AAIS
Panelist
Representative Invited
FDA, United States
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