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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 session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.





GenAI in Health & Medicine: Emerging Opportunities & Challenges – with Mark Ghaly, Secretary, California Health & Human Services Agency
GenAI in Climate: Accelerating Effective Collaboration & Impact – with Wade Crowfoot, Secretary, California Natural Resources Agency
GenAI in Transportation: Emerging Prototypes – with Toks Omishakin, Secretary, California State Transportation Agency
Please join promptly by 1pm to catch the afternoon program!




California as a Hub for GenAI Innovation – with Jeffery Marino, Director, Office of Data and Innovation
Responsible & Safe GenAI in Practice: From Frameworks to Implementation – with Rishi Bommasani, PhD Candidate of Computer Science, Stanford University and Deborah Raji, PhD Candidate of Computer Science, UC Berkeley





