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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.

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.
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.
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
HAI Faculty Associate Director Susan Athey and new incoming HAI senior fellow Erik Brynjolfsson invited researchers working on AI and labor markets across the Stanford community to come together in a virtual event on May 18th, to present and discuss ongoing research and build ties for future collaborations.
How is AI impacting the labor market? How is it changing labor demand and supply, occupations, hiring, labor mobility, firm organization, and behavior? Various groups from different disciplines across campus ranging from Economics, Business, Management Science and Engineering, Politics, Sociology or Computer Science are working on these important questions from different angles, with different lenses and methodologies. The workshop aimed to bring the working group together to enable cross-disciplinary discussions and inspire future research collaborations.