Seminar 2026

As AI becomes embedded in clinical development, accountability is becoming harder to define. This is especially true when decisions are partially or fully influenced by algorithms. Ambiguity is showing up in unclear ownership, inconsistent oversight, and gaps in auditability across teams. Attendees can learn: What clear accountability looks like when AI is involved in clinical decision-making, including decision rights and escalation pathways How organizations are structuring oversight models, RACI frameworks, and governance committees to maintain control Where audit trails and documentation are falling short and how to ensure inspection readiness How to operationalize continuous human oversight without slowing innovation or adoption