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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.
How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
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How do AI agents influence knowledge work? This paper finds that agents shift worker effort from implementation to supervision, which especially benefits verifiable work and expert workers. I use data from the coding platform Cursor to study agents in software production.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
Register
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
Call for Posters
We’re excited to invite Stanford students and postdocs across all departments to showcase their work at AI+Science: Accelerating Discovery. The poster session is a chance to highlight your work, connect with leading scientists and practitioners, and highlight how your research contributes to this rapidly evolving space.
Deadline to submit: April 10 at 5:00 PM
Submit an abstract
Co-sponsored by Stanford HAI and Stanford Data Science.
