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AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Register
In-person registration is full, use the link to sign up for the livestream or join the waitlist for in-person attendance.
Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
Centered on the essential role of scientists in this new era, the conference will explore both near-term advances and future possibilities, along with the unique challenges of applying AI in scientific work. Above all, it focuses on elevating human understanding: what people understand, not what AI understands.
This conference is ideal for scientists, engineers, and research leaders across academia, industry, and government who want a clear, interdisciplinary view of where AI is genuinely accelerating discovery, and what it means for scientific practice.
This year's conference will feature keynotes, panel discussions, and opportunities to connect with peers. Watch this space for more details regarding agenda and speaker lineup as we approach the event date.
See current speakers
Co-sponsored by Stanford HAI and Stanford Data Science.
