Microsoft’s Hoifung Poon: Why AI Needs a Scientific Community
Автор: SAIR
Загружено: 2026-02-22
Просмотров: 2275
Описание:
In this exclusive interview with SAIR Secretary General Peter L, Hoifung Poon, General Manager at Microsoft Research, shares his perspective on how AI is transforming scientific discovery—especially in medicine—and why a broader scientific community is essential for real progress.
Poon explains that technology alone is not enough. Breakthroughs in AI must be matched by new workflows, regulatory frameworks, education, and collaboration across disciplines. He discusses the challenges of applying ge
AI models to scientific domains, the role of data quality and bias, and how foundation models are beginning to unlock new capabilities in areas like medical research.
He also outlines why organizations like SAIR are needed: to bring together researchers, industry leaders, and institutions to build the social, technical, and scientific infrastructure required for AI to truly accelerate discovery.
In this conversation:
• Why AI is only the first step in scientific transformation
• The real barriers to AI adoption in medicine
• Foundation models and emerging capabilities
• Data bias, uncertainty, and scientific rigor
• How SAIR can catalyze a new research ecosystem
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