AI is becoming an increasingly important part of modern pharmacovigilance, creating new opportunities to support drug safety operations. But as organizations adopt AI, understanding how a model reaches a decision is only part of the challenge.
This presentation explores why explainability does not necessarily equal safety and examines the broader considerations involved in adopting AI responsibly within pharmacovigilance. It looks beyond explainability to consider what organizations need to think about as AI becomes more embedded in everyday safety operations.
Presented by Qinecsa’s Chief Product Officer, Beena Wood, at the World Patient Safety Congress in Europe and the US, the session offers a thought-provoking perspective on what it really means to use AI safely and responsibly in pharmacovigilance.
About the speaker
Duration: 20 minutes
Topics & Agenda:
- AI in modern pharmacovigilance and its growing role in everyday drug safety operations
- Explainability vs. safety: why understanding how an AI model reaches a decision is only part of the picture
- Responsible AI adoption and the considerations needed when introducing AI into pharmacovigilance
- Moving beyond explainability toward safer, more responsible use of AI in drug safety
Beena Wood, Chief Product Officer
Presented at the World Patient Safety Congress in Europe and the US, “Explainability Does Not Equal Safety” features Qinecsa’s Chief Product Officer, Beena Wood. As AI becomes increasingly embedded in everyday drug safety operations, Beena challenges the idea that explainability alone is enough. The presentation explores the broader considerations required to introduce AI into pharmacovigilance safely and responsibly.
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