Princeton AI Lab: New York

Princeton University is coming to NYC. Join the Princeton Laboratory for Artificial Intelligence (AI Lab) to learn how we are advancing AI at Princeton through a set of ambitious, interdisciplinary research initiatives spanning science, society, and next-generation AI systems.
The evening, which will be held at Morgan Stanley Inclusive & Sustainable Ventures’ office, will feature lightning talks introducing the AI Lab’s first three research initiatives, followed by networking with faculty, industry leaders, and partners. We invite your insights as we explore opportunities for collaboration, partnership, and how to move at the speed of AI discovery together.
This event is by invitation only. Due to building security requirements, only guests with confirmed registration will be admitted.
Speakers:
Tom Griffiths, Director, Princeton Lab for Artificial Intelligence & Henry R. Luce Professor of Information Technology, Consciousness, and Culture of Psychology and Computer Science
Ryan Adams, Professor of Computer Science
Brenden Lake, Associate Professor of Computer Science and Psychology
Sanjeev Arora, Director, Language and Intelligence Initiative & Charles C. Fitzmorris Professor in Computer Science
Janet Vertesi, Associate Professor of Sociology
Below are the AI Lab’s three research initiatives:
AI for Accelerating Invention
AI for Accelerating Invention uses AI to fundamentally change the process of invention —  from design, to simulation, to fabrication, to control. Among the challenges it will tackle: containing plasma and revolutionizing material design and structure.
Natural and Artificial Minds
Natural and Artificial Minds takes advantage of advances in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems.
Princeton Language and Intelligence
Princeton Language and Intelligence (PLI) seeks to develop fundamental understanding of large AI models; enable their application to research and education across academic disciplines; and study societal and ethical implications of AI as well as develop methods to avert any harms.