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Towards Trustworthy Generative AI

June 6, 9:50 AM - 10:15 AM
Grand Ballroom Salon B

With GenAI's unprecedented capabilities and wide adoption come challenges and risks in ensuring responsible use. This session will discuss the various challenges and issues in ensuring trustworthy GenAI, including hallucination, privacy leakage, adversarial robustness, harmlessness, and alignment. It will also explore the potential solution space in addressing these issues and defending against the misuse of GenAI technology.

About the speaker

Professor Dawn Song

Professor Dawn Song

Professor, University of California, Berkeley, Oasis Labs

Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, and Co-Director of the Berkeley Center on Responsible Decentralized Intelligence. Her research interest lies in AI and Deep Learning, Security and Privacy, and Decentralization Technology. She is the recipient of various awards, including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and numerous Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow and is ranked as the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur and has been named to the Female Founder 100 List by Inc. and Wired25 List of Innovators.