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We seek to transform the human condition by advancing Columbia's strength in the foundations of AI through interdisciplinary research, education and innovation.

We are pushing the boundaries of knowledge in the core areas of AI, facilitating their responsible and ethical interaction with the real world, and educating the next generation of AI leaders. We learn from the interplay between foundational research and grand challenges in health and medicine, business, materials discovery, sustainability and climate science, and social and political science.

TASK FORCE MEMBERS

Shih-Fu Chang
Shih-Fu Chang

Co-chair; Director of Columbia Center of AI Technology in Collaboration with Amazon

Garud N. Iyengar
Garud N. Iyengar

Co-chair, Lead of AI for FT and BA

Pierre Gentine
Pierre Gentine

Lead of NSF STC AI-Climate Proposal

Cliff Stein
Cliff Stein

Lead of NSF AI Institute Proposal on Optimization

Itsik Peer
Itsik Pe'er

Lead of NSF AI Institute Proposal on Causal ML for Biomarker

Kathy McKeown
Kathy McKeown

Lead of NSF AI Institute on Human Centered AI Proposal

Sanat Kumar
Sanat Kumar

AI Materials Discovery

Shipra Agrawal
Shipra Agrawal

Reinforcement Learning

John Wright
John Wright

High-Dimensional Data Analysis


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