Beyond the model: Building AI systems that science can trust
owkin.com · 734 words · saved by 1 readers
Learn more about our dinner discussions on what kind of AI systems should underpin the future of pharmaceutical R&D.
The AI market rewards certainty. Science does not. Yet much of today's discussion about AI assumes those two worlds move at the same pace. They don't. In Zurich, our previous AI thought leader dinner explored why AI in biology must be grounded in evidence rather than persuasive outputs. By the time we gathered again in Paris, the conversation had shifted: if evidence is the foundation, how should pharma R&D build and govern the next generation of AI? It felt like the right question to ask: what kind of AI systems should underpin the future of pharmaceutical R&D? What are we governing?…
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