[Theory] REMINDER: [TTIC Talks] 2/24 Talks at TTIC: Avi Schwarzschild, CMU

[Brandie Jones via Theory]

*When:*        Monday, February 24th at *11:30AM CT*


*Where:       *Talk will be given *live, in-person* at

                       TTIC, 6045 S. Kenwood Avenue

                       5th Floor, Room 530


*Virtually:*  via Panopto (livestream
<https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f1a00f16-3062-44df-a759-b2800113da6b>
)


*Who: *         Avi Schwarzschild, CMU

*Title:*        Safe and Reasonable AI
*Abstract: *Even with the widespread and increasing use of AI, the safety
implications and the reasoning capabilities should be better understood. In
this talk, we will first discuss the safety implications of memorization in
LLMs through the lens of copyright infringement. Then, we will discuss
recent research on reasoning in neural networks. While AI continues to
impress us, we’ll focus on the ability to extrapolate from easy training
data to hard examples by looking at iterative components that give neural
networks the ability to think longer to solve harder problems.

*Short Bio*: Avi Schwarzschild is a postdoctoral researcher at Carnegie
Mellon University where he works with Dr. Zico Kolter. His work focuses on
safe and secure machine learning as well as reasoning in artificial
intelligence systems. Prior to starting at Carnegie Mellon, he earned his
Ph.D. in the Applied Math and Scientific Computation program at the
University of Maryland where he was advised by Dr. Tom Goldstein on his
work in deep learning. His ultimate goal is to build capable AI systems
that can be deployed in a wide range of applications with clearly
understood and managed risks. To this end, his work focuses on two main
topics: reasoning and safety.

*Host: Zhiyuan Li <zhiyuanli at ttic.edu>*


-- 
*Brandie Jones *
*Executive **Administrative Assistant*
Toyota Technological Institute
6045 S. Kenwood Avenue
Chicago, IL  60637
www.ttic.edu
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