Microsoft Research Podcast

Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility.

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In the series finale, Amanda Craig Deckard returns to examine what Microsoft has learned about testing as a governance tool. She also explores the roles of rigor, standardization, and interpretability in testing and what’s next for Microsoft’s AI governance work.

Show notes: https://www.microsoft.com/en-us/research/podcast/ai-testing-and-evaluation-reflections/

Drawing on his previous work as the UK’s cybersecurity chief, Professor Ciaran Martin explores differentiated standards and public-private partnerships in cybersecurity, and Microsoft’s Tori Westerhoff examines the insights through an AI red-teaming lens.

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Daphne Koller, Noubar Afeyan, and Dr. Eric Topol, leaders in AI-driven medicine, discuss how AI is changing biomedical research and discovery, from accelerating drug target identification and biotech R&D to helping pursue the “holy grail” of a virtual cell.

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Professors Daniel Carpenter and Timo Minssen explore evolving pharma and medical device regulation, including the role of clinical trials, while Microsoft applied scientist Chad Atalla shares where AI governance stakeholders might find inspiration in the fields.

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In the introductory episode of this new series, host Kathleen Sullivan and Senior Director Amanda Craig Deckard explore Microsoft’s efforts to draw on the experience of other domains to help advance the role of AI testing and evaluation as a governance tool.

Technologists Bill Gates and Sébastien Bubeck discuss the state of generative AI in medicine, how access to “medical intelligence” might help empower people across healthcare, and how AI’s accelerating improvements are likely to affect both delivery and discovery.

Ethan Mollick and Azeem Azhar, thought leaders at the forefront of AI’s influence on work, education, and society, discuss the impact of AI at the individual level and what that means for the healthcare workforce and the organizations and systems in medicine.

The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods. Alex Lu shares insights on why more research on AI models is needed in biological applications.

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A new Nature paper explores Aurora, an AI model that redefines weather prediction with application to other environmental domains such as tropical cyclones. Hear from senior researchers Megan Stanley and Wessel Bruinsma as they share their groundbreaking work.

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In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the globe. 

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Peter Lee and his coauthors, Carey Goldberg and Dr. Zak Kohane, reflect on how generative AI is unfolding in real-world healthcare, drawing on earlier guest conversations to examine what’s working, what’s not, and what questions still remain.

Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore’s Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon’s thermal conductivity.

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New AI models aren’t just changing the world of research; they’re also poised to impact society. Xing Xie talks about Societal AI, a white paper that explores the changing landscape with an eye to future research and improved communication across disciplines.

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Healthcare experts Laura Adams, Vardit Ravitsky, and Dr. Roxana Daneshjou discuss responsible AI implementation in medicine, examining governance approaches, shifting patient-provider relationships, and the identification of bias to ensure equitable deployment.

Evangelist for patient empowerment Dave deBronkart and Manatt Heath’s Christina Farr discuss how generative AI is redefining healthcare by empowering patients, challenging traditional care models, and creating new opportunities for innovation and collaboration. 

Microsoft’s Dr. Matthew Lungren and Epic’s Seth Hain discuss the challenges and opportunities of leveraging generative AI for enhanced patient care and improved clinical documentation and recordkeeping at scale—plus what’s next for the technology in the field.

Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program in their lives and research.