Artificial intelligence is reshaping drug safety, but governance is just as critical as innovation, according to Marie Flanagan of IQVIA Safety Technologies. Speaking on The Top Line podcast, Flanagan said responsibility for AI in healthcare must be shared across compliance, technology, business teams and regulators. Strong governance, she said, ensures AI systems are ethically designed, technically validated, transparent and adaptable to continuous oversight.

Organizations can prepare by grounding their strategies in guiding principles such as human oversight, fairness and accountability, Flanagan said. She emphasized the need to embed governance in AI design from the start, rather than adding controls later. Compliance teams, she added, can shift from being seen as barriers to acting as enablers of safe innovation. From constant monitoring to feedback loops, the conversation highlights practical steps for managing AI in life sciences. Hear the full episode of The Top Line for a deeper look at how companies can balance innovation and responsibility.

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